Infrastructure Engineer jobs at Salesforce - 60 jobs

The Oracle North America Consulting organization provides architecture, implementation, and migration specialists that deliver professional services that align with and support the North America Sales organization and Oracle customer base. The Senior Oracle Cloud Infrastructure Technologist is a hands-on technical leadership role focused on designing, implementing, and optimizing cloud infrastructure solutions on Oracle Cloud. As a senior consultant, you will be responsible for delivering end-to-end cloud services, from strategic planning through to implementation, ensuring that all solutions are scalable, performant, highly available, secure, cost effective, and manageable, and aligned with OCI and industry best practices. This is a senior-level role requiring deep expertise in Oracle Cloud, as well as strong leadership and communication skills to work effectively with customer technical teams and business stakeholders to ensure customer requirements and objectives are achieved. This individual serves as a subject matter expert and trusted advisor who facilitates the migration and deployment of workloads from on-premise environments or other 3 rd party Clouds, to OCI. He/She works closely with strategic customers, to provide technical know-how, technology guidance, and detailed design and implementation expertise, with the primary objective of assisting customers in getting to production status and realizing the business value of the solution in OCI as quickly as possible. The Cloud Infrastructure Technologist manages creation and delivery of technical content, including detailed Cloud designs that function as build specifications, technical oversight of OCI build and migration efforts, and focus on automation and reusability. In this role, the technologist will engage with a wide cross section of internal and external stakeholders - Sales, Development, Support, and third-party partners to drive cloud adoption efforts. Acts as an acknowledged authority for customers and sales on technical cloud solutions and customer success. Viewed by peers as a leader and top contributor and by line management as a key business partner. This is an exciting position working with the latest Oracle Cloud technology, with great opportunity for recognition and career growth. **Responsibilities** **Cloud Technology Design & Strategy:** + Lead the design and implementation of Oracle Cloud Infrastructure (OCI) solutions, ensuring high availability, scalability, and security for enterprise applications. + Accelerate OCI adoption and usage by customers and partners. + Work closely with business and technical stakeholders to assess current infrastructure and develop cloud migration strategies that meet business requirements. + Provide expert advice on OCI services, technical solution patterns, and cloud adoption best practices. **Consulting & Implementation:** + Design and implement hybrid and multi-cloud solutions leveraging OCI, ensuring seamless integration with on-premise and other cloud environments. + Oversee the deployment, migration, and optimization of Oracle Cloud services including compute, storage, networking, security, and database offerings. + Perform infrastructure assessments, identify bottlenecks, and propose solutions to improve performance, reliability, and cost-efficiency. **Project Leadership & Collaboration:** + Lead and mentor a team of cloud technologist and junior consultants in the successful delivery of OCI-related projects. + Collaborate with clients' internal IT teams to ensure that OCI solutions align with organizational goals and comply with governance and security policies. + Coordinate and manage timelines, deliverables, and resources for cloud transformation initiatives. + Assist Cloud sales teams to architect and scope new engagements and solutions that grow Oracle Cloud adoption. **Cloud Security & Compliance:** + Ensure that all cloud solutions are secure, meet compliance requirements, and follow industry best practices (e.g., NIST, GDPR, SOC 2). + Architect secure, highly available, and resilient cloud environments, ensuring that client data is protected and disaster recovery plans are in place. **Continuous Improvement & Innovation:** + Stay current with the latest trends and advancements in Oracle Cloud and related technologies, and proactively apply new ideas to client projects. + Recommend and implement improvements to existing cloud technologies based on evolving client needs, business growth, and technology advancements. + Develop reusable Intellectual Property (IP) for the Consulting Delivery organization to help drive delivery efficiency and customer value. + Provide feedback to IaaS & PaaS Product Technology teams regarding product deficiencies and enhancements. Required Qualifications: **Education:** Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree preferred. **Experience:** + 10+ years of consulting or technology experience in cloud infrastructure technology and design, with at least 5 years focused on Oracle Cloud Infrastructure (OCI). + Proven experience in solutioning and deploying cloud solutions in large, complex enterprise environments, with emphasis on infrastructure as code, and devops and automation for infrastructure. + Expertise in cloud migration, multi-cloud, and hybrid cloud deployments. **Technical Skills:** + Hands on skills with Oracle Cloud Infrastructure (OCI) and/or other Cloud providers, such as Amazon Web Services, Microsoft Azure, Google/GCP. + Strong expertise in Oracle Cloud Infrastructure (OCI) including core IaaS and PaaS services like compute, networking, storage, identity and access management, and database/multicloud services. + Proficiency in cloud security best practices, including IAM, encryption, and compliance frameworks. + Hands-on experience with Infrastructure-as-Code (IaC) tools such as Terraform, Ansible, Chef, and OCI Cloud Shell. + Knowledge and understanding of DevOps and infrastructure automation with hands-on experience in any of the following technologies: + GIT, Chef / Puppet, Ansible, Docker, Kubernetes, and Mezos. + Python, Bash + JSON + Familiarity with Observability and Management cloud monitoring tools (e.g., Prometheus, Grafana, CloudWatch). + Virtualization and networking expertise with VMWare, KVM, Oracle VM, Hyper-V + Strong Linux and/or Windows system administration skills **Certifications:** + Oracle Cloud Infrastructure certification (Associate or Professional) is highly desirable. + Additional certifications in related technologies (e.g., AWS, Azure, Terraform, Security) would be a plus. **Communication & Leadership:** + Excellent client-facing skills with the ability to understand business needs and translate them into technical solutions. + Strong leadership and mentoring skills, with experience leading technical delivery teams. + Strong "security first" mindset when designing and building Cloud Infrastructure. + Excellent verbal and written communication skills, with the ability to produce clear and concise documentation and reports. + Comfortable with ambiguity. Able to work efficiently with cross-functional teams across geography and manage numerous projects simultaneously under deadline pressure with minimal guidance. **Preferred Qualifications:** + Hands-on experience with Oracle Cloud Databases (e.g., Oracle Autonomous Database, Exadata Cloud Service). + Experience with OCI integrations, API management, and microservices. + Knowledge of enterprise IT infrastructure, including networking, server virtualization, and storage management. + Familiarity with containerization technologies (e.g., Docker, Kubernetes) and container orchestration platforms. Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Oracle uses Artificial Intelligence in our recruiting process. Read more about it in our Recruiting Privacy Policy (**************************************************************** . **Range and benefit information provided in this posting are specific to the stated locations only** CA: Hiring Range in CAD from: $102,400 to $152,400 per annum. US: Hiring Range in USD from: $141,800 to $232,200 per annum. May be eligible for equity and compensation deferral. Eligible for commission with an estimated pay mix of 70/30. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC5 Vacancy Type - Replacement Position This role regularly interacts with customers, prospects and partners across North America, so a professional level of English is required. A proficiency of French is required for candidates residing in Quebec, otherwise it is considered an asset. **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

The Site Operations team is responsible for the delivery of data center compute and storage at Meta, enabling our family of apps and services to support a growing global community. We are seeking a forward-thinking individual skilled across multiple disciplines to lead global initiatives on this team. The mission of this role is to identify and tackle the biggest technical and operational challenges and opportunities before SiteOps. The Infrastructure Engineer is expected to personally advance our highest impact initiatives, and to work with others to closure through the right working groups and delegates. The scope of the role is Infra-wide; the DC Infra Engineer is expected to work with the data center teams, Core Systems, CEA, PE, and hardware engineering to architect and implement adaptable solutions that transform our infrastructure in dimensions including performance, efficiency, quality, and resiliency. Areas of emphasis include next gen platforms, tools, and technologies; the interplay between our platforms and data centers; and the underlying architecture of our infrastructure including physical vs logical layer trade-offs. **Required Skills:** Global Infrastructure Engineer Responsibilities: 1. Represent Site Operations in leading work to define and architect new solutions on global initiatives, working with stakeholders across Infra Data Centers & Infrastructure teams 2. Assemble and lead teams to address complex engineering challenges, requiring technical expertise as well as a broad understanding of Meta's overall infrastructure 3. Address issues that can be ambiguous and global in nature, requiring leadership and collaboration across time zones, teams, and technical domains 4. Act as key SME and mentor in the design, operation, and troubleshooting of tools, technologies, and processes utilized within Site Operations 5. Understand and assess risks and challenges associated with emerging new hardware, data center and software technologies, and define & implement effective mitigations for these 6. Employ a holistic understanding of the full infrastructure stack to lead solutions that appropriately balance physical and logical layer 7. Act as a global communication and advisory point of contact for the design, implementation and delivery of projects that affect our global data center and server fleet and facilitate resolution of issues drawing on local expertise and global support partners 8. Leverage data-driven methodologies to understand a problem at the onset, define a plan, and measure progress throughout a project 9. Provide data supplied narratives and ensure a focus on continuous improvement 10. Build and support, trusted, cross-functional connections with teams across the globe and serve as an advocate for the Site Operations Team with key stakeholders, influencing policies and procedures to improve global data center operations 11. Approximately 20% - 30% travel **Minimum Qualifications:** Minimum Qualifications: 12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 13. Knowledge of the full stack of infrastructure, with experience building or operating logical infrastructure on top of a complex, distributed physical infrastructure 14. Proven communication skills and experience working in a highly distributed environment, across teams/department boundaries 15. 10+ years of technical experience, in a large-scale data center or IT Infrastructure environment, or equivalent experience building platforms and systems for large scale compute 16. Experience building globally scalable solutions and translating global strategic initiatives into local executable projects 17. Knowledge of the interdependencies of data center functions and technologies including electrical, cooling, structured cabling, security, network, server and storage systems 18. Experience building, operating, and scaling with Linux or Unix Operating systems 19. Experience communicating the results of analysis and insights to cross functional teams and influencing the strategy of these teams 20. Experience with Data Center Design and Expansion **Preferred Qualifications:** Preferred Qualifications: 21. Extensive knowledge of storage and AI/ML related services and the hardware that supports them 22. Coding or scripting experience such as Bash, PHP, Python, SQL, or Perl 23. Experience in providing technical guidance to external vendors and partners. Knowledge and experience with virtualization, containerization, distributed systems, fault tolerance, and incident management 24. Experience with high level data center design, operations, basic electrical/mechanical infrastructure, and scaling physical infrastructure **Public Compensation:** $208,000/year to $289,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

The Data Center Engineering Analytics and Modeling (DCEAM) organization is seeking a Power Systems Engineer to lead grid to rack electromagnetic transient (EMT) simulations for AI data centers. You will develop detailed MV/LV power system models from the utility source through the IT load to analyze transient performance, harmonic distortion, protection, grounding, and UPS-generator interactions. These models will be used to ensure power quality, stability, and reliability across all operating modes. You will support projects from site selection and design through commissioning and integrated systems testing (IST), working closely with design, operations, vendor, and utility teams. Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $97,500 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC4 Responsibilities Develop & Maintain EMT Models: MV sources; transformers (saturation/inrush); grounding; cables; UPS/DRUPS; generators (AVR/governor); STS/ATS; Busway/PDU/RPP; filters/FACTS; VFD-driven HVAC. Conduct Dynamic Performance and Transient Studies: Generator-UPS Compatibility; Large block load step (GPU ramp-up) response; Transformer inrush and load transfer; Generator start and transfer sequences; UPS input/output switching and bypass events; Black Start; Frequency Stability; Rotor-Angle Stability; Voltage Stability / Voltage Ride Through. Conduct Power Quality Studies: Flicker / Voltage Step Analysis; Harmonic / Resonance scans and filter application; Inrush / Ferroresonance; Converter Limited Fault Behavior; Power Factor Correction. Conduct Steady-State Analysis: Load flow / Voltage Drop; Short Circuit / Equipment Evaluation; Protection & Coordination; Arc Flash Hazard Analysis; Grounding Study Support generator and UPS vendor coordination for paralleling, synchronization, and control system stability. Generate FMU models for multi-domain simulations Establish modeling standards, libraries, QA, version control; automate cases, sweeps, and reporting. Review vendor black-box models; document assumptions and deliver clear, actionable reports. Ensure compliance with internal security, data handling, and licensing policies for tools and models. Collaborate with cross-functional teams (mechanical, controls, commissioning, etc.) to ensure electrical system stability under dynamic load profiles. Author study reports and technical memos for design review and operational readiness. Minimum Requirements BS in Electrical Engineering (power systems or power electronics); 3-5+ years EMT studies. Proficiency in one or more: PSCAD/EMTDC, EMTP-RV, PowerFactory (EMT), ATP-EMTP, Simulink/Simscape. Experience modeling UPS/inverters and synchronous generators; transformer saturation/inrush. Knowledge of protection basics, grounding, harmonics, converter controls (PLL, current/voltage loops). Ability to interpret one-lines, settings, control block diagrams, and test data. Scripting for automation/data analysis (Python, MATLAB, or similar). Familiarity with standards: IEEE 519, IEEE 1453/IEC 61000-4-15, IEC 61000 series, NEC/NFPA 70 or IEC 60364, IEEE C37. Preferred Qualifications PhD/MS in Power Systems/Power Electronics or equivalent experience. Professional Engineer (PE) license or eligibility (Electrical, Power discipline) Data center design/operations (UPS topologies, STS transfers, generator paralleling, coordination). Familiarity with AI/GPU rack power modeling, DC bus design, and bipolar bus applications. Real-time/HIL (RTDS, OPAL-RT/HYPERSIM, Typhoon HIL) and hybrid RMS-EMT workflows. Advanced harmonic/resonance mitigation (active/tuned filters, STATCOM/SVC). Protection engineering for converter-rich systems and low-fault-current scenarios. Experience with Git-based model governance and reproducible reporting. Understanding of battery energy storage systems (BESS) and lithium-ion UPS topologies. Knowledge of Microgrid architectures, and Distributed Energy Resources (DER); including their control strategies, operational modes (grid-forming, grid-following, islanded, and parallel operation), and integration with critical data center electrical infrastructure. Knowledge of NEC 700/701/708 critical power distribution requirements. Experience working with OEM data (Eaton, Schneider, ABB, Vertiv, Cummins, MTU). Vendor model acquisition/validation under NDA; understanding of licensing/IP.

Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Come help organizations be their best, while you reach new heights with a team that has your back. Meet the Team: Our Distinguished Engineer team drives architecture and technical direction for Splunk's $3.5B platform, ingesting petabytes of data for over 95% of the Fortune 100. As a tight-knit group of DEs reporting to the VP of Architecture, we operate autonomously while coordinating closely on practical, durable solutions that evolve the platform for future requirements. Each DE owns cross-organizational domains that shift fluidly as needs arise. Work alongside exceptionally smart engineers who value rigorous thinking and friendly collaboration-this is where the technical future gets defined! Impact: Architect and operationalize Spark at scale as a core component of Cisco Data Fabric, enabling customers to access and analyze exponentially more data across diverse organizational sources. Build resilient, always-on infrastructure with automatic retry logic, fault tolerance, and seamless integration across myriad data sources and formats including Parquet, Iceberg, and modern table formats. Design the operational backbone-monitoring, observability, error handling, and horizontal scalability-that enables hundreds of engineers to build features confidently on solid foundations. Establish architectural patterns and support mechanisms that ensure high availability while maintaining performance at petabyte scale. Success is measured by customer adoption of data fabric capabilities and operational reliability metrics-uptime, ingestion performance, and incident reduction-that directly impact customer value. Minimum Qualifications: * Bachelor's in Computer Science (or equivalent) with 15+ years of related experience; or Master's with 12+ years; or PhD with 8+ years or equivalent experience * Designed and deployed production Spark deployments at scale in cloud environments * Experience with modern data formats including Parquet, Iceberg, and related table/columnar formats * Production experience with AWS cloud platform * Led technical decisions and architectural direction across engineering organizations of 50+ engineers Preferred Qualifications: * Production experience with Azure and/or GCP cloud platforms * Experience integrating with diverse data platforms such as Snowflake, Pinot, Databricks, Trino, or similar systems * Extensive Kubernetes experience in production environments * Proven track record mentoring and growing engineers, with strong collaboration skills across sponsors, design, product management, and engineering teams Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $267,600.00 to $339,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $273,200.00 - $442,600.00 Non-Metro New York state & Washington state: $267,600.00 - $390,300.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Come help organizations be their best, while you reach new heights with a team that has your back. Meet the Team Our Distinguished Engineer team drives architecture and technical direction for Splunk's $3.5B platform, ingesting petabytes of data for over 95% of the Fortune 100. As a tight-knit group of DEs reporting to the VP of Architecture, we operate autonomously while coordinating closely on practical, durable solutions that evolve the platform for future requirements. Each DE owns cross-organizational domains that shift fluidly as needs arise. Work alongside exceptionally smart engineers who value rigorous thinking and friendly collaboration-this is where the technical future gets defined! Impact: Architect and operationalize AI infrastructure as a core component of Cisco Data Fabric, enabling engineering teams to integrate AI capabilities across the world's largest, most diverse data sets. Design MLOps platforms that solve complex lifecycle challenges-managing embedding model migrations, version compatibility, and continuous model updates-while ensuring operational excellence through monitoring, governance, and serving at petabyte scale. Identify and drive new opportunities for leveraging AI across the stack, establishing consistent architectural patterns for agent prompts, tool integration, and model orchestration. Build data pipelines and operational frameworks that enable hundreds of engineers to confidently deploy both LLMs and traditional ML models into production. Success is measured by customer adoption and usage of AI-powered features, alongside operational metrics-model performance, inference latency, and deployment velocity-that directly impact customer value. Minimum Qualifications: * Bachelor's in Computer Science (or equivalent) with 15+ years of related experience; or Master's with 12+ years; or PhD with 8+ years or equivalent experience * Designed and deployed AI/ML infrastructure and features in production cloud environments * Experience with major AI services including OpenAI, Anthropic, HuggingFace, AWS Bedrock, Azure OpenAI Service, or similar platforms * Production experience with AWS, Azure, or GCP cloud platform * Led technical decisions and architectural direction across engineering organizations of 50+ engineers Preferred Qualifications: * Experience with LLM-specific infrastructure including agent frameworks, prompt management, and tool integration * Model serving at scale with experience in inference optimization and performance monitoring * Designed and deployed AI/ML infrastructure for on-premises environments * Experience with major ML frameworks (TensorFlow, PyTorch, etc.) and model formats * Proven track record mentoring and growing engineers, with strong collaboration skills Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $267,600.00 to $339,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $273,200.00 - $442,600.00 Non-Metro New York state & Washington state: $267,600.00 - $390,300.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Come help organizations be their best, while you reach new heights with a team that has your back. **Meet the Team** Our Distinguished Engineer team drives architecture and technical direction for Splunk's $3.5B platform, ingesting petabytes of data for over 95% of the Fortune 100. As a tight-knit group of DEs reporting to the VP of Architecture, we operate autonomously while coordinating closely on practical, durable solutions that evolve the platform for future requirements. Each DE owns cross-organizational domains that shift fluidly as needs arise. Work alongside exceptionally smart engineers who value rigorous thinking and friendly collaboration-this is where the technical future gets defined! **Impact:** Architect and operationalize AI infrastructure as a core component of Cisco Data Fabric, enabling engineering teams to integrate AI capabilities across the world's largest, most diverse data sets. Design MLOps platforms that solve complex lifecycle challenges-managing embedding model migrations, version compatibility, and continuous model updates-while ensuring operational excellence through monitoring, governance, and serving at petabyte scale. Identify and drive new opportunities for leveraging AI across the stack, establishing consistent architectural patterns for agent prompts, tool integration, and model orchestration. Build data pipelines and operational frameworks that enable hundreds of engineers to confidently deploy both LLMs and traditional ML models into production. Success is measured by customer adoption and usage of AI-powered features, alongside operational metrics-model performance, inference latency, and deployment velocity-that directly impact customer value. **Minimum Qualifications:** + Bachelor's in Computer Science (or equivalent) with 15+ years of related experience; or Master's with 12+ years; or PhD with 8+ years or equivalent experience + Designed and deployed AI/ML infrastructure and features in production cloud environments + Experience with major AI services including OpenAI, Anthropic, HuggingFace, AWS Bedrock, Azure OpenAI Service, or similar platforms + Production experience with AWS, Azure, or GCP cloud platform + Led technical decisions and architectural direction across engineering organizations of 50+ engineers **Preferred Qualifications:** + Experience with LLM-specific infrastructure including agent frameworks, prompt management, and tool integration + Model serving at scale with experience in inference optimization and performance monitoring + Designed and deployed AI/ML infrastructure for on-premises environments + Experience with major ML frameworks (TensorFlow, PyTorch, etc.) and model formats + Proven track record mentoring and growing engineers, with strong collaboration skills **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $267,600.00 to $339,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $273,200.00 - $442,600.00 Non-Metro New York state & Washington state: $267,600.00 - $390,300.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Come help organizations be their best, while you reach new heights with a team that has your back. **Meet the Team:** Our Distinguished Engineer team drives architecture and technical direction for Splunk's $3.5B platform, ingesting petabytes of data for over 95% of the Fortune 100. As a tight-knit group of DEs reporting to the VP of Architecture, we operate autonomously while coordinating closely on practical, durable solutions that evolve the platform for future requirements. Each DE owns cross-organizational domains that shift fluidly as needs arise. Work alongside exceptionally smart engineers who value rigorous thinking and friendly collaboration-this is where the technical future gets defined! **Impact:** Architect and operationalize Spark at scale as a core component of Cisco Data Fabric, enabling customers to access and analyze exponentially more data across diverse organizational sources. Build resilient, always-on infrastructure with automatic retry logic, fault tolerance, and seamless integration across myriad data sources and formats including Parquet, Iceberg, and modern table formats. Design the operational backbone-monitoring, observability, error handling, and horizontal scalability-that enables hundreds of engineers to build features confidently on solid foundations. Establish architectural patterns and support mechanisms that ensure high availability while maintaining performance at petabyte scale. Success is measured by customer adoption of data fabric capabilities and operational reliability metrics-uptime, ingestion performance, and incident reduction-that directly impact customer value. **Minimum Qualifications:** + Bachelor's in Computer Science (or equivalent) with 15+ years of related experience; or Master's with 12+ years; or PhD with 8+ years or equivalent experience + Designed and deployed production Spark deployments at scale in cloud environments + Experience with modern data formats including Parquet, Iceberg, and related table/columnar formats + Production experience with AWS cloud platform + Led technical decisions and architectural direction across engineering organizations of 50+ engineers **Preferred Qualifications:** + Production experience with Azure and/or GCP cloud platforms + Experience integrating with diverse data platforms such as Snowflake, Pinot, Databricks, Trino, or similar systems + Extensive Kubernetes experience in production environments + Proven track record mentoring and growing engineers, with strong collaboration skills across sponsors, design, product management, and engineering teams **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** The starting salary range posted for this position is $267,600.00 to $339,400.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $273,200.00 - $442,600.00 Non-Metro New York state & Washington state: $267,600.00 - $390,300.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

The Site Operations team is responsible for the delivery of data center compute and storage at Meta, enabling our family of apps and services to support a growing global community. We are seeking a forward-thinking individual skilled across multiple disciplines to lead global initiatives on this team. The mission of this role is to identify and tackle the biggest technical and operational challenges and opportunities before SiteOps. The Infrastructure Engineer is expected to personally advance our highest impact initiatives, and to work with others to closure through the right working groups and delegates. The scope of the role is Infra-wide; the DC Infra Engineer is expected to work with the data center teams, Core Systems, CEA, PE, and hardware engineering to architect and implement adaptable solutions that transform our infrastructure in dimensions including performance, efficiency, quality, and resiliency. Areas of emphasis include next gen platforms, tools, and technologies; the interplay between our platforms and data centers; and the underlying architecture of our infrastructure including physical vs logical layer trade-offs. **Required Skills:** Global Infrastructure Engineer Responsibilities: 1. Represent Site Operations in leading work to define and architect new solutions on global initiatives, working with stakeholders across Infra Data Centers & Infrastructure teams 2. Assemble and lead teams to address complex engineering challenges, requiring technical expertise as well as a broad understanding of Meta's overall infrastructure 3. Address issues that can be ambiguous and global in nature, requiring leadership and collaboration across time zones, teams, and technical domains 4. Act as key SME and mentor in the design, operation, and troubleshooting of tools, technologies, and processes utilized within Site Operations 5. Understand and assess risks and challenges associated with emerging new hardware, data center and software technologies, and define & implement effective mitigations for these 6. Employ a holistic understanding of the full infrastructure stack to lead solutions that appropriately balance physical and logical layer 7. Act as a global communication and advisory point of contact for the design, implementation and delivery of projects that affect our global data center and server fleet and facilitate resolution of issues drawing on local expertise and global support partners 8. Leverage data-driven methodologies to understand a problem at the onset, define a plan, and measure progress throughout a project 9. Provide data supplied narratives and ensure a focus on continuous improvement 10. Build and support, trusted, cross-functional connections with teams across the globe and serve as an advocate for the Site Operations Team with key stakeholders, influencing policies and procedures to improve global data center operations 11. Approximately 20% - 30% travel **Minimum Qualifications:** Minimum Qualifications: 12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 13. Knowledge of the full stack of infrastructure, with experience building or operating logical infrastructure on top of a complex, distributed physical infrastructure 14. Proven communication skills and experience working in a highly distributed environment, across teams/department boundaries 15. 10+ years of technical experience, in a large-scale data center or IT Infrastructure environment, or equivalent experience building platforms and systems for large scale compute 16. Experience building globally scalable solutions and translating global strategic initiatives into local executable projects 17. Knowledge of the interdependencies of data center functions and technologies including electrical, cooling, structured cabling, security, network, server and storage systems 18. Experience building, operating, and scaling with Linux or Unix Operating systems 19. Experience communicating the results of analysis and insights to cross functional teams and influencing the strategy of these teams 20. Experience with Data Center Design and Expansion **Preferred Qualifications:** Preferred Qualifications: 21. Extensive knowledge of storage and AI/ML related services and the hardware that supports them 22. Coding or scripting experience such as Bash, PHP, Python, SQL, or Perl 23. Experience in providing technical guidance to external vendors and partners. Knowledge and experience with virtualization, containerization, distributed systems, fault tolerance, and incident management 24. Experience with high level data center design, operations, basic electrical/mechanical infrastructure, and scaling physical infrastructure **Public Compensation:** $208,000/year to $289,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

The Site Operations team is responsible for the delivery of data center compute and storage at Meta, enabling our family of apps and services to support a growing global community. We are seeking a forward-thinking individual skilled across multiple disciplines to lead global initiatives on this team. The mission of this role is to identify and tackle the biggest technical and operational challenges and opportunities before SiteOps. The Infrastructure Engineer is expected to personally advance our highest impact initiatives, and to work with others to closure through the right working groups and delegates. The scope of the role is Infra-wide; the DC Infra Engineer is expected to work with the data center teams, Core Systems, CEA, PE, and hardware engineering to architect and implement adaptable solutions that transform our infrastructure in dimensions including performance, efficiency, quality, and resiliency. Areas of emphasis include next gen platforms, tools, and technologies; the interplay between our platforms and data centers; and the underlying architecture of our infrastructure including physical vs logical layer trade-offs. Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * Knowledge of the full stack of infrastructure, with experience building or operating logical infrastructure on top of a complex, distributed physical infrastructure * Proven communication skills and experience working in a highly distributed environment, across teams/department boundaries * 10+ years of technical experience, in a large-scale data center or IT Infrastructure environment, or equivalent experience building platforms and systems for large scale compute * Experience building globally scalable solutions and translating global strategic initiatives into local executable projects * Knowledge of the interdependencies of data center functions and technologies including electrical, cooling, structured cabling, security, network, server and storage systems * Experience building, operating, and scaling with Linux or Unix Operating systems * Experience communicating the results of analysis and insights to cross functional teams and influencing the strategy of these teams * Experience with Data Center Design and Expansion Preferred Qualifications * Extensive knowledge of storage and AI/ML related services and the hardware that supports them * Coding or scripting experience such as Bash, PHP, Python, SQL, or Perl * Experience in providing technical guidance to external vendors and partners. Knowledge and experience with virtualization, containerization, distributed systems, fault tolerance, and incident management * Experience with high level data center design, operations, basic electrical/mechanical infrastructure, and scaling physical infrastructure Responsibilities * Represent Site Operations in leading work to define and architect new solutions on global initiatives, working with stakeholders across Infra Data Centers & Infrastructure teams * Assemble and lead teams to address complex engineering challenges, requiring technical expertise as well as a broad understanding of Meta's overall infrastructure * Address issues that can be ambiguous and global in nature, requiring leadership and collaboration across time zones, teams, and technical domains * Act as key SME and mentor in the design, operation, and troubleshooting of tools, technologies, and processes utilized within Site Operations * Understand and assess risks and challenges associated with emerging new hardware, data center and software technologies, and define & implement effective mitigations for these * Employ a holistic understanding of the full infrastructure stack to lead solutions that appropriately balance physical and logical layer * Act as a global communication and advisory point of contact for the design, implementation and delivery of projects that affect our global data center and server fleet and facilitate resolution of issues drawing on local expertise and global support partners * Leverage data-driven methodologies to understand a problem at the onset, define a plan, and measure progress throughout a project * Provide data supplied narratives and ensure a focus on continuous improvement * Build and support, trusted, cross-functional connections with teams across the globe and serve as an advocate for the Site Operations Team with key stakeholders, influencing policies and procedures to improve global data center operations * Approximately 20% - 30% travel About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

**Introduction** IBM Infrastructure is a catalyst that makes the world work better because our clients demand it. Heterogeneous environments, the explosion of data, digital automation, and cybersecurity threats require hybrid cloud infrastructure that only IBM can provide. Your ability to be creative, a forward-thinker and to focus on innovation that matters, is all support by our growth minded culture as we continue to drive career development across our teams. Collaboration is key to IBM Infrastructure success, as we bring together different business units and teams that balance their priorities in a way that best serves our client's needs. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. **Your role and responsibilities** We are seeking a motivated and technically skilled early-career professional to join our AI and Data Science development team. As a Junior Developer, you will contribute to the design, development, and implementation of AI solutions and look for ways to effienciently collect, clean, analyze, and visualize data to support business decisions that support real-world applications across enterprise systems. This role is ideal for someone with a strong foundation in machine learning and software engineering who is eager to grow in a collaborative, innovation-driven environment. You will work with Senior Developers to build models helping to create predictive models, generate insights and help optimize company performance. **Required technical and professional expertise** - Proficiency in Python and experience with libraries such as NumPy, pandas, scikit-learn. - Solid understanding of machine learning algorithms and model evaluation techniques. - Experience with Git and collaborative development workflows. - Ability to work with structured and unstructured data, including preprocessing and transformation. - Familiarity with software engineering principles and debugging practices. - Strong analytical and problem-solving skills. **Preferred technical and professional experience** - Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). - Exposure to model deployment using Docker, REST APIs, or cloud platforms (AWS, Azure, GCP). - Understanding of MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines). - Knowledge of distributed systems, storage architectures (e.g., IBM Storage Scale), and performance optimization. - Familiarity with Linux environments and container orchestration (e.g., Kubernetes, OpenShift). - Awareness of ethical AI principles, including fairness, transparency, and bias mitigation. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction** IBM Infrastructure is a catalyst that makes the world work better because our clients demand it. Heterogeneous environments, the explosion of data, digital automation, and cybersecurity threats require hybrid cloud infrastructure that only IBM can provide. Your ability to be creative, a forward-thinker and to focus on innovation that matters, is all support by our growth minded culture as we continue to drive career development across our teams. Collaboration is key to IBM Infrastructure success, as we bring together different business units and teams that balance their priorities in a way that best serves our client's needs. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. **Your role and responsibilities** We are seeking a motivated and technically skilled early-career professional to join our AI and Data Science development team. As a Junior Developer, you will contribute to the design, development, and implementation of AI solutions and look for ways to effienciently collect, clean, analyze, and visualize data to support business decisions that support real-world applications across enterprise systems. This role is ideal for someone with a strong foundation in machine learning and software engineering who is eager to grow in a collaborative, innovation-driven environment. You will work with Senior Developers to build models helping to create predictive models, generate insights and help optimize company performance. **Required technical and professional expertise** - Proficiency in Python and experience with libraries such as NumPy, pandas, scikit-learn. - Solid understanding of machine learning algorithms and model evaluation techniques. - Experience with Git and collaborative development workflows. - Ability to work with structured and unstructured data, including preprocessing and transformation. - Familiarity with software engineering principles and debugging practices. - Strong analytical and problem-solving skills. **Preferred technical and professional experience** - Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). - Exposure to model deployment using Docker, REST APIs, or cloud platforms (AWS, Azure, GCP). - Understanding of MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines). - Knowledge of distributed systems, storage architectures (e.g., IBM Storage Scale), and performance optimization. - Familiarity with Linux environments and container orchestration (e.g., Kubernetes, OpenShift). - Awareness of ethical AI principles, including fairness, transparency, and bias mitigation. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction** IBM Infrastructure is a catalyst that makes the world work better because our clients demand it. Heterogeneous environments, the explosion of data, digital automation, and cybersecurity threats require hybrid cloud infrastructure that only IBM can provide. Your ability to be creative, a forward-thinker and to focus on innovation that matters, is all support by our growth minded culture as we continue to drive career development across our teams. Collaboration is key to IBM Infrastructure success, as we bring together different business units and teams that balance their priorities in a way that best serves our client's needs. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. **Your role and responsibilities** We are seeking a motivated and technically skilled early-career professional to join our AI and Data Science development team. As a Junior Developer, you will contribute to the design, development, and implementation of AI solutions and look for ways to effienciently collect, clean, analyze, and visualize data to support business decisions that support real-world applications across enterprise systems. This role is ideal for someone with a strong foundation in machine learning and software engineering who is eager to grow in a collaborative, innovation-driven environment. You will work with Senior Developers to build models helping to create predictive models, generate insights and help optimize company performance. **Required technical and professional expertise** - Proficiency in Python and experience with libraries such as NumPy, pandas, scikit-learn. - Solid understanding of machine learning algorithms and model evaluation techniques. - Experience with Git and collaborative development workflows. - Ability to work with structured and unstructured data, including preprocessing and transformation. - Familiarity with software engineering principles and debugging practices. - Strong analytical and problem-solving skills. **Preferred technical and professional experience** - Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). - Exposure to model deployment using Docker, REST APIs, or cloud platforms (AWS, Azure, GCP). - Understanding of MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines). - Knowledge of distributed systems, storage architectures (e.g., IBM Storage Scale), and performance optimization. - Familiarity with Linux environments and container orchestration (e.g., Kubernetes, OpenShift). - Awareness of ethical AI principles, including fairness, transparency, and bias mitigation. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Introduction** IBM Infrastructure is a catalyst that makes the world work better because our clients demand it. Heterogeneous environments, the explosion of data, digital automation, and cybersecurity threats require hybrid cloud infrastructure that only IBM can provide. Your ability to be creative, a forward-thinker and to focus on innovation that matters, is all support by our growth minded culture as we continue to drive career development across our teams. Collaboration is key to IBM Infrastructure success, as we bring together different business units and teams that balance their priorities in a way that best serves our client's needs. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. **Your role and responsibilities** We are seeking a motivated and technically skilled early-career professional to join our AI and Data Science development team. As a Junior Developer, you will contribute to the design, development, and implementation of AI solutions and look for ways to effienciently collect, clean, analyze, and visualize data to support business decisions that support real-world applications across enterprise systems. This role is ideal for someone with a strong foundation in machine learning and software engineering who is eager to grow in a collaborative, innovation-driven environment. You will work with Senior Developers to build models helping to create predictive models, generate insights and help optimize company performance. **Required technical and professional expertise** - Proficiency in Python and experience with libraries such as NumPy, pandas, scikit-learn. - Solid understanding of machine learning algorithms and model evaluation techniques. - Experience with Git and collaborative development workflows. - Ability to work with structured and unstructured data, including preprocessing and transformation. - Familiarity with software engineering principles and debugging practices. - Strong analytical and problem-solving skills. **Preferred technical and professional experience** - Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). - Exposure to model deployment using Docker, REST APIs, or cloud platforms (AWS, Azure, GCP). - Understanding of MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines). - Knowledge of distributed systems, storage architectures (e.g., IBM Storage Scale), and performance optimization. - Familiarity with Linux environments and container orchestration (e.g., Kubernetes, OpenShift). - Awareness of ethical AI principles, including fairness, transparency, and bias mitigation. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

The Site Operations team is responsible for the delivery of data center compute and storage at Meta, enabling our family of apps and services to support a growing global community. We are seeking a forward-thinking individual skilled across multiple disciplines to lead global initiatives on this team. The mission of this role is to identify and tackle the biggest technical and operational challenges and opportunities before SiteOps. The Infrastructure Engineer is expected to personally advance our highest impact initiatives, and to work with others to closure through the right working groups and delegates. The scope of the role is Infra-wide; the DC Infra Engineer is expected to work with the data center teams, Core Systems, CEA, PE, and hardware engineering to architect and implement adaptable solutions that transform our infrastructure in dimensions including performance, efficiency, quality, and resiliency. Areas of emphasis include next gen platforms, tools, and technologies; the interplay between our platforms and data centers; and the underlying architecture of our infrastructure including physical vs logical layer trade-offs. Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * Knowledge of the full stack of infrastructure, with experience building or operating logical infrastructure on top of a complex, distributed physical infrastructure * Proven communication skills and experience working in a highly distributed environment, across teams/department boundaries * 10+ years of technical experience, in a large-scale data center or IT Infrastructure environment, or equivalent experience building platforms and systems for large scale compute * Experience building globally scalable solutions and translating global strategic initiatives into local executable projects * Knowledge of the interdependencies of data center functions and technologies including electrical, cooling, structured cabling, security, network, server and storage systems * Experience building, operating, and scaling with Linux or Unix Operating systems * Experience communicating the results of analysis and insights to cross functional teams and influencing the strategy of these teams * Experience with Data Center Design and Expansion Preferred Qualifications * Extensive knowledge of storage and AI/ML related services and the hardware that supports them * Coding or scripting experience such as Bash, PHP, Python, SQL, or Perl * Experience in providing technical guidance to external vendors and partners. Knowledge and experience with virtualization, containerization, distributed systems, fault tolerance, and incident management * Experience with high level data center design, operations, basic electrical/mechanical infrastructure, and scaling physical infrastructure Responsibilities * Represent Site Operations in leading work to define and architect new solutions on global initiatives, working with stakeholders across Infra Data Centers & Infrastructure teams * Assemble and lead teams to address complex engineering challenges, requiring technical expertise as well as a broad understanding of Meta's overall infrastructure * Address issues that can be ambiguous and global in nature, requiring leadership and collaboration across time zones, teams, and technical domains * Act as key SME and mentor in the design, operation, and troubleshooting of tools, technologies, and processes utilized within Site Operations * Understand and assess risks and challenges associated with emerging new hardware, data center and software technologies, and define & implement effective mitigations for these * Employ a holistic understanding of the full infrastructure stack to lead solutions that appropriately balance physical and logical layer * Act as a global communication and advisory point of contact for the design, implementation and delivery of projects that affect our global data center and server fleet and facilitate resolution of issues drawing on local expertise and global support partners * Leverage data-driven methodologies to understand a problem at the onset, define a plan, and measure progress throughout a project * Provide data supplied narratives and ensure a focus on continuous improvement * Build and support, trusted, cross-functional connections with teams across the globe and serve as an advocate for the Site Operations Team with key stakeholders, influencing policies and procedures to improve global data center operations * Approximately 20% - 30% travel About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

The Site Operations team is responsible for the delivery of data center compute and storage at Meta, enabling our family of apps and services to support a growing global community. We are seeking a forward-thinking individual skilled across multiple disciplines to lead global initiatives on this team. The mission of this role is to identify and tackle the biggest technical and operational challenges and opportunities before SiteOps. The Infrastructure Engineer is expected to personally advance our highest impact initiatives, and to work with others to closure through the right working groups and delegates. The scope of the role is Infra-wide; the DC Infra Engineer is expected to work with the data center teams, Core Systems, CEA, PE, and hardware engineering to architect and implement adaptable solutions that transform our infrastructure in dimensions including performance, efficiency, quality, and resiliency. Areas of emphasis include next gen platforms, tools, and technologies; the interplay between our platforms and data centers; and the underlying architecture of our infrastructure including physical vs logical layer trade-offs. Minimum Qualifications * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * Knowledge of the full stack of infrastructure, with experience building or operating logical infrastructure on top of a complex, distributed physical infrastructure * Proven communication skills and experience working in a highly distributed environment, across teams/department boundaries * 10+ years of technical experience, in a large-scale data center or IT Infrastructure environment, or equivalent experience building platforms and systems for large scale compute * Experience building globally scalable solutions and translating global strategic initiatives into local executable projects * Knowledge of the interdependencies of data center functions and technologies including electrical, cooling, structured cabling, security, network, server and storage systems * Experience building, operating, and scaling with Linux or Unix Operating systems * Experience communicating the results of analysis and insights to cross functional teams and influencing the strategy of these teams * Experience with Data Center Design and Expansion Preferred Qualifications * Extensive knowledge of storage and AI/ML related services and the hardware that supports them * Coding or scripting experience such as Bash, PHP, Python, SQL, or Perl * Experience in providing technical guidance to external vendors and partners. Knowledge and experience with virtualization, containerization, distributed systems, fault tolerance, and incident management * Experience with high level data center design, operations, basic electrical/mechanical infrastructure, and scaling physical infrastructure Responsibilities * Represent Site Operations in leading work to define and architect new solutions on global initiatives, working with stakeholders across Infra Data Centers & Infrastructure teams * Assemble and lead teams to address complex engineering challenges, requiring technical expertise as well as a broad understanding of Meta's overall infrastructure * Address issues that can be ambiguous and global in nature, requiring leadership and collaboration across time zones, teams, and technical domains * Act as key SME and mentor in the design, operation, and troubleshooting of tools, technologies, and processes utilized within Site Operations * Understand and assess risks and challenges associated with emerging new hardware, data center and software technologies, and define & implement effective mitigations for these * Employ a holistic understanding of the full infrastructure stack to lead solutions that appropriately balance physical and logical layer * Act as a global communication and advisory point of contact for the design, implementation and delivery of projects that affect our global data center and server fleet and facilitate resolution of issues drawing on local expertise and global support partners * Leverage data-driven methodologies to understand a problem at the onset, define a plan, and measure progress throughout a project * Provide data supplied narratives and ensure a focus on continuous improvement * Build and support, trusted, cross-functional connections with teams across the globe and serve as an advocate for the Site Operations Team with key stakeholders, influencing policies and procedures to improve global data center operations * Approximately 20% - 30% travel About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Meta is seeking a forward thinking, experienced Data Center Systems Engineer to join the Data Center Site Operations team. Our data centers, and the tens of thousands of servers installed in them, are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. Meta is at the leading edge of the global data center industry both in terms of how data centers are designed and operated. This person should enjoy working in a fast-paced environment where adaptability and flexibility will be key to their success. We seek a forward-thinking IT professional with experience utilizing multiple varied software tools to identify automation solutions intended to address complex operational issues. This role is cross-functional and considers the technical needs of frontline users to identify and automate diagnostic tooling which enables quality and efficient delivery of production servers. They should have demonstrated experience of performing data analysis to drive decisions on the top priorities to automate repairs on servers in a hyperscale environment. An engineer who can drive solutions with code, through collaboration, clear and timely communication with global teams. **Required Skills:** Global Systems Engineer Responsibilities: 1. Deliver maximum server fleet up-time and utilization rates, by leveraging data to understand hardware failure conditions and root cause. Identify trends and systemic issues in the fleet and drive resolution 2. Collaborate with stakeholders and subject matter experts to interpret business and operational needs, articulate success criteria in partnership with engineering and field based operations teams 3. Build cross functional relationships and have the capacity to influence policies and procedures to improve global data center operations 4. Mentor team members to evaluate and identify better ways to resolve issues and define updates to tools and processes 5. Write and review code, develop documentation, and debug the hardest problems, live, on some of the largest and most complex systems in the world 6. Participate in defining diagnostic tooling requirements with multiple cross-functional support teams 7. Execute validation and verification activities for the new product integration, including system level testing 8. Through consistent collaboration with cross-functional tooling teams, help determine root cause and provide input into their development process, with an operations central view of how open issues are affecting the fleet 9. Capacity to travel up to 25% required **Minimum Qualifications:** Minimum Qualifications: 10. Engineering degree or commensurate experience 11. 7+ years of experience in systems infrastructure operations or related field 12. Experience in configuration and maintenance of applications such as web servers, load balancers, relational databases, storage systems and messaging systems 13. Experience coding in higher-level languages (e.g., Python, PHP, C++, or Java) 14. Experience learning software, frameworks and APIs 15. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 16. Experienced with Linux systems **Public Compensation:** $144,000/year to $204,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Meta is seeking a forward thinking, experienced Data Center Systems Engineer to join the Data Center Site Operations team. Our data centers, and the tens of thousands of servers installed in them, are the foundation upon which our rapidly scaling infrastructure efficiently operates and upon which our innovative services are delivered. Meta is at the leading edge of the global data center industry both in terms of how data centers are designed and operated. This person should enjoy working in a fast-paced environment where adaptability and flexibility will be key to their success. We seek a forward-thinking IT professional with experience utilizing multiple varied software tools to identify automation solutions intended to address complex operational issues. This role is cross-functional and considers the technical needs of frontline users to identify and automate diagnostic tooling which enables quality and efficient delivery of production servers. They should have demonstrated experience of performing data analysis to drive decisions on the top priorities to automate repairs on servers in a hyperscale environment. An engineer who can drive solutions with code, through collaboration, clear and timely communication with global teams. Minimum Qualifications * Engineering degree or commensurate experience * 7+ years of experience in systems infrastructure operations or related field * Experience in configuration and maintenance of applications such as web servers, load balancers, relational databases, storage systems and messaging systems * Experience coding in higher-level languages (e.g., Python, PHP, C++, or Java) * Experience learning software, frameworks and APIs * Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * Experienced with Linux systems Responsibilities * Deliver maximum server fleet up-time and utilization rates, by leveraging data to understand hardware failure conditions and root cause. Identify trends and systemic issues in the fleet and drive resolution * Collaborate with stakeholders and subject matter experts to interpret business and operational needs, articulate success criteria in partnership with engineering and field based operations teams * Build cross functional relationships and have the capacity to influence policies and procedures to improve global data center operations * Mentor team members to evaluate and identify better ways to resolve issues and define updates to tools and processes * Write and review code, develop documentation, and debug the hardest problems, live, on some of the largest and most complex systems in the world * Participate in defining diagnostic tooling requirements with multiple cross-functional support teams * Execute validation and verification activities for the new product integration, including system level testing * Through consistent collaboration with cross-functional tooling teams, help determine root cause and provide input into their development process, with an operations central view of how open issues are affecting the fleet * Capacity to travel up to 25% required About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

**Introduction** At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. **Your role and responsibilities** Hakkoda is a modern data consultancy that empowers data driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics and data science. We are renowned for bringing our clients deep expertise, being easy to work with, and being an amazing place to work! We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone's input and efforts are valued. We hire outstanding individuals and give them the opportunity to thrive in a collaborative atmosphere that values learning, growth, and hard work. Our team is distributed across North America, Latin America, and Europe. If you have the desire to be a part of an exciting, challenging, and rapidly-growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you!. Overview: We are seeking a Senior AI Engineer with a strong track record of developing and deploying AI solutions, particularly in the domain of large language models (LLMs), agents, and retrieval-augmented generation (RAG) pipelines. This role will involve close collaboration with clients to architect, build, and deliver real-world solutions using platforms such as Snowflake, AWS, and Google Cloud. The ideal candidate combines technical depth with a pragmatic, delivery-oriented mindset and has excellent communication skills to lead client engagements and cross-functional teams. Responsibilities: * Solution Architecture: Lead the design and development of LLM-based solutions including RAG pipelines, agent workflows, and generative AI applications. * Multi-Platform Implementation: Develop and deploy AI solutions across Snowflake, AWS, Google Cloud, Databricks, and other enterprise environments. * Client-Facing Delivery: Work directly with clients to understand business needs, propose architectures, and implement solutions that deliver measurable value. * Model Development & Optimization: Fine-tune models, build embedding workflows, implement vector search, and monitor performance in production environments. * Workflow Automation & Integration: Architect AI systems that integrate with cloud-based data pipelines and enterprise tools, ensuring reliability and scalability. * Mentorship & Collaboration: Provide technical leadership, mentor junior engineers, and contribute to the growth of Hakkoda's AI practice. Innovation & Research: Stay informed on emerging AI technologies and bring innovative capabilities into production use As of April 2025, Hakkoda has been acquired by IBM and will be integrated in the IBM organization. Your recruitment process will be managed by IBM. IBM will be the hiring entity. This role can be performed from anywhere in the US. **Required technical and professional expertise** * Education: Bachelor's degree in Computer Science, Data Science, AI, or a related field. * Experience: * Minimum of 5-7 years of experience in AI engineering, machine learning, or related fields. * Demonstrated experience working in a professional services or consulting environment with client-facing responsibilities. * Must-Have Skills and Experience * Proven experience developing and deploying LLM-powered applications into production * Strong background in RAG architecture, vector search, and embedding pipelines * Familiarity with agent frameworks such as LangChain, LlamaIndex, or CrewAI * Expertise in Python, with sound software engineering practices * Experience working with Snowflake, including Cortex and UDFs for AI integration * Hands-on experience deploying AI solutions on multiple cloud platforms (especially AWS and GCP) * Strong client-facing skills, with the ability to lead technical discussions and present to stakeholders * Demonstrated ability to scope, build, and deliver full AI solutions-not just prototypes * Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences, including clients. * Strong leadership skills, with a track record of successfully managing projects and mentoring junior team members. * Problem-solving expertise with a creative approach to overcoming client challenges and delivering results under tight timelines. **Preferred technical and professional experience** * Experience with LLMOps tools (PromptLayer, LangSmith, Weights & Biases, etc.) * Understanding of AI cost optimization and production reliability concerns * Prior experience with consulting or professional services engagements * Experience building AI solutions with synthetic or simulated data * Contributions to open-source AI projects or active involvement in AI communities * Extensive experience with industry-specific AI applications, such as healthcare, finance, supply chain, or retail/CPG. * Advanced proficiency in natural language processing (NLP) and computer vision technologies. * Master's or Ph.D. preferred IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Introduction As someone who is genuinely passionate about shaping our client's future, you make use of your strong understanding of Digital Engineering technology, the client's business needs and their culture to articulate end-to-end technology, process, business capability, and cultural roadmaps. You are the type of individual who cultivates trusted relationships with the client and partners to contribute to an environment that unites people and technology to solve real client problems and bridge gap between strategy and execution. You will be responsible for engaging with clients understanding their current process landscape and aiding them on transformation journey with collaboratively creating business process models, process analysis, technology enabled process improvement/redesign, requirements definition and data modelling, to influence the functional design so that it satisfies the real business needs. You will lead and facilitate workshops to uncover current state pain points, improvements and rationalisations. Also, work closely with architects, delivery teams, the client, and partners to design future state solutions. You will also contribute to Capability modelling as well as make use of Process Modelling (including Process reengineering) and User Stories to articulate the benefits and value of what is being developed/deployed. You can perform rapid analysis and decomposition of complex business information into functional and non-functional requirements and articulate them in context of the solution and business process. You are capable of creating an inventory of customer process pain points, gaps, improvements and articulating these in context of the solution delivery. Working alongside our talented and widely experienced consultants, you'll have the opportunity to determine innovative solutions which overcome complex business challenges. You will have opportunity to grow professionally and mentor others to grow their skills and capabilities. Daily, you'll transform Digital Engineering's performance and deliver real business improvements for our clients. Whether it's strategy and transformation or implementation programmes, your advice will help our clients to operate more efficiently and effectively. What's more, you'll be pivotal in helping to drive forward some of the most exciting products currently in development in the UK. Your role and responsibilities * Collaborating with clients, architects and delivery teams to determine business-specific application needs. * Lead workshops for complex projects and facilitate real requirements articulation. * Lead the articulation of business need to the technical teams, and the technical solutions to the business/client teams to ensure business value is realised. * Demonstrating application prototypes and integrating user feedback. * Identifying application integration requirements, maintenance needs, upgrades, and data migration. * Lead business articulation (process, requirements) aspects and support the Project Manager to meet business needs, governance approvals and delivery timescales. * Building business processes models, procedures, and standards for large complex projects encompassing multiple workstreams. * Creating traceability models between Requirements, Process, Technical Solutions, Delivery Roadmaps, Test and Training. * Integrating trends in application architecture in application development projects. * Identify and develop opportunities, both with the client and with IBM commercial teams. * Identify opportunities to eliminate complexity, simplify end-to-end workflows, automate manual tasks and deploy AI across operations. * You will be responsible for mentoring junior colleagues, guiding and encouraging the use of best practise techniques. Required education None Preferred education Bachelor's Degree Required technical and professional expertise The ideal candidate will be employed in a major engineering organisation or in a leading consulting or digital technology firm. Our preference is that they will have experience of operating in similar Senior roles within the sector. * Knowledge of Engineering and/or Manufacturing business processes and domains. * Knowledge of PLM applications (such as Teamcenter or 3DEXPERIENCE). * Strong consulting skills gained within a professional consulting group or working in industry. * Strong facilitation skills across multiple disciplines and hierarchy. * Evidence of leading and contributing to large complex projects. * A high level of personal belief and passion for the client's success. * Build and manage trusted relationships with client stakeholders at all levels so IBM is viewed as a preferred provider of consulting services and grow 'footprint' * Proven ability to build new and maintain existing professional networks. * Establish and maintain your skills and personal eminence in the market. * Continually develop expertise and knowledge of client issues based on accumulated experience. * Take ownership of client pain points and facilitate them into solutions. * Strong organisation skills with the ability to manage competing priorities for large complex and/or multiple projects. * Be able to create and present required governance artifacts to pass client 'gates'/milestones. Preferred technical and professional experience * Strong consulting skills gained within a professional consulting group or working in industry. * Engineering or Industrial background is preferable. * Leadership skills (provide guidance, delegation, communication (written/verbal) and encourage ideas and input). * PLM skills and experience. Ideally experience in delivering Siemens Teamcenter, 3DEXPERIENCE, Windchill or equivalent is desired. * Applied skills in Business Process Modelling and Architecture aligned to APQC or similar for large complex projects. * Applied skills in Use Case Modelling (UML, SysML) and/or User Story definition * Contribute to capability models that allow relationships to Process Classification Frameworks enabling prioritisation and value to be understood. * Communicate articulately and effectively, with appropriate level of detail but retaining key messages, at all levels of business. * Strong Business Analysis Skills (uniting Requirements, Process, Tech Solutions, Cultural Change). * Ability to think creatively and strategically with a focus to achieving outcomes. * Exceptional interpersonal skills with the ability to communicate, partner and collaborate across functions, geographies, and hierarchy. * Knowledge of enterprise Architecture Principals like Zachman or TOGAF is desirable. ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS IBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.