Infrastructure engineer jobs in Olympia, WA - 565 jobs

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. AWS Infrastructure Services (AIS) is looking for a Senior Manager - AWS Infrastructure Demand Planning to lead the AIS Demand and S&OP team. Our team is responsible for AWS Infrastructure supply and demand strategy for AWS's global GenAI and non-GenAI infrastructure footprint spanning 105 availability zones, 33 geographical regions and serving over 245 countries and territories. The team drives compute and datacenter supply planning, infrastructure capacity delivery and GenAI supportability to ensure scalable cloud services for millions of AWS customers. In other words, we're the people who keep the cloud running. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. As the Senior Manager of AWS Infrastructure Demand Planning, you will be responsible for leading teams that drive the S&OP (Sales and Operations Planning) process for AWS and ensure that AWS Demand is aligned with Supply. You will work closely with AWS Services, Material Planning, Data Center planning and the Capacity Delivery teams to build quarterly S&OP plans that drive short-term and long-term AWS Supply and Demand strategy. You will also be responsible for the demand signal that is provided to AIS, with a focus on ensuring that the signal is aligned with the financial plan, sales and growth projections, agreed upon demand levers, transitions, NPI roadmaps, and prior commits and plan of records. You will drive related software automation plans specific to capturing and reporting on the demand signals. The AIS Demand and S&OP Team is responsible for the 13-103 week Demand Plan of Record (POR) for Server material planning and the 0-10 year Demand POR for Data Center planning. You are an experienced leader who will have demonstrated leading large cross-functional and cross-organizational projects. An ability to take large, technically complex projects and break them down into manageable pieces, develop actionable plans and successfully deliver them are expected. This role is inherently cross-functional and requires the ability to think big and collaborate with others as you work closely with teams across AWS Infrastructure and AWS Service teams (EC2, S3, EBS). The shifting power and permitting constraints and critical nature of the role requires someone who maintains momentum, clarity of vision and adaptability while communicating effectively across a diverse set of customers, partners and leadership. The Sr. Manager must effectively distinguish between one/two way door decisions. Decisions driven by the Sr. Manager create significant impact to the AWS Infrastructure organization and all of our customers, so excellent judgement (based on domain and technical expertise) is required in managing complex problems, tough trade-offs, proposals and escalations. Communication with executive audiences is a regular occurrence. High judgment, negotiation skills, ability to influence without authority, analytical talent, technical aptitude, and leadership to collaborate with a diverse set of stakeholders across multiple time zones, manage capital budgets, eliminate non-value-add activity, design solutions, remove roadblocks, and find creative ways to accelerate project delivery are therefore essential for success in this role. Key job responsibilities - Drive the S&OP process for AWS Infrastructure and influence AWS' Supply and Demand strategy. - Guide automation teams on implementing the systems required for the various elements of the demand planning process, while also directly managing/dialing in new programs until such a time as it makes sense to automate. - Create product strategy and feature road map via Amazon Working Backwards documents. - Provide thought-leadership to Amazon leadership and business partners, delivering solutions to strategic problems. - Communicate performance against goals and objectives through narratives and business reviews. - Lead broader initiatives, as assigned, to further advance the effectiveness of the organization. - Manage a product management and technical program management organization. About the team *Why AWS* Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. *Diverse Experiences* Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. *Work/Life Balance* We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. *Inclusive Team Culture* Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. *Mentorship and Career Growth* We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications - Bachelor's degree or equivalent in a related technical field - Experience owning program strategy, end to end delivery, and communicating results to senior leadership - Experience in modeling complex business scenarios - 10+ years of relevant experience in positions that require supply and demand planning including ability to manage large volume of data to support other functions that plan sourcing, production, and delivery requirements - 6+ years of team management experience Preferred Qualifications - Strong analytical and quantitative skills with the ability to use data and metrics to back up assumptions, evaluate outcomes, and challenge conventional wisdom - Demonstrated ability to influence with or without formal authority - Excellent written and verbal communication skills for both technical and non-technical audiences Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $175,200/year in our lowest geographic market up to $302,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

A leading technology company in Seattle seeks an experienced Machine Learning Engineer to develop and deploy cutting-edge AI models. This role emphasizes building robust ML infrastructure and automating pipelines for data and model management. Ideal candidates will have over four years of experience in machine learning and proficiency in programming languages like Java or Python. The position offers a competitive salary, comprehensive benefits, and opportunities for professional growth. #J-18808-Ljbffr

A leading technology firm in Seattle is looking for a Principal Member of Technical Staff to support system design, debug and engage with customers on their AMD Instinct™ product line. This role involves leading hands-on validation efforts, optimizing Rack-Scale AI solutions, and influencing product roadmaps. The ideal candidate will have extensive experience in system architecture and debugging, along with relevant academic credentials. The position offers opportunities to mentor and drive technical excellence in a collaborative team environment. #J-18808-Ljbffr

A leading advisory firm in Seattle is seeking a motivated Lead Consultant for Advisory Services to support infrastructure projects. This role involves managing project teams, driving process improvements, and building client relationships while contributing to significant initiatives in transit, rail, and power sectors. The ideal candidate will possess a Bachelor's degree and 7-10 years relevant experience. A strong communicator with interpersonal skills is essential for success in this dynamic environment. Competitive salary range offered, with a comprehensive benefits package. #J-18808-Ljbffr

A leading global hedge fund in Seattle is seeking a Quantitative Developer to build critical trading infrastructure. You will collaborate with quantitative researchers and senior portfolio managers to optimize systems for trading strategies across global futures and equities. Candidates should have strong skills in React/Typescript and Python, paired with a Master's or PhD in a relevant field. This position offers significant career growth and impact in a dynamic environment. #J-18808-Ljbffr

A leading aerospace company in Seattle is looking for a performance integration engineer to support lunar mission projects. This role involves defining and tracking pointing requirements, integrating analysis, and collaborating with various teams. The ideal candidate has over 6 years in flight dynamics, proficiency in MATLAB/Python, and experience with performance verification. This position offers competitive benefits and requires on-site work alongside a collaborative team. #J-18808-Ljbffr

A tech-focused organization is looking for a Forward Deployed Engineer to lead complex AI deployments with government clients. You will be responsible for managing technical delivery, embedding within client teams, and utilizing advanced AI technologies to solve critical challenges. Ideal candidates will have 5+ years of experience in engineering, a TS/SCI clearance, and a strong ability to communicate effectively while navigating fast-paced environments. This position allows for hybrid work with significant travel requirements. #J-18808-Ljbffr

A leading search AI company is looking for a Consulting Engineer - Search to help customers realize the value of their solutions. You will collaborate with various teams to deliver scalable architectures that enhance application performance and user experiences. The ideal candidate has over 5 years of experience in Enterprise Search technologies and excellent client interaction skills. This role is based in Seattle, WA, and offers flexible working arrangements. #J-18808-Ljbffr

About the company Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions - turning production data into better AI with every release. About the role We are looking to hire a solutions engineer to partner with our sales team to navigate every part of the sales process. In this role, you'll working closely with technical stakeholders at companies ranging from small startups to massive enterprises. Our primary users are software engineers and PMs at world-class tech companies who are working to leverage GenAI. What you'll do Partner with our sales team to articulate the overall Braintrust value proposition, vision, and strategy to customers Own the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility Deliver product and technical presentations to potential and existing customers Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material Ideal candidate credentials 5+ years of experience as a sales engineer or in solutions consulting Ability to connect a customer's specific problems to Braintrust's solutions Proficiency in Typescript and Python Has written prompts / tinkered with GPT models and apps Benefits include Medical, dental, and vision insurance Daily lunch, snacks, and beverages Flexible time off < Competitive salary and equity AI Stipend Equal opportunity Braintrust is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. #J-18808-Ljbffr

Our client is seeking a highly skilled engineer to join the cloud and data center infrastructure team with at least 10 years of systems development, deployment, and related operations experience . The candidate must have experience with distributed systems, open source development, agile development methods, CI/CD, and devops. Qualifications Responsibilities: · System integration and distributed system debugging · Research and selection of distributed systems components · CI/CID pipeline development and integration · Test automation development work (unit, functional, integration, e2e) · Contribution and participation in open source projects · Distributed systems design/code/test/deploy · Scalability and reliability engineering, testing, and analysis · Reports and presentations Mandatory Skills: · Must have deep experience in one or more of the following subject areas: o Virtualization and virtualization management (Openstack, etc) o Cloud storage systems (block and object) o Networking and SDN o Containerization (Docker, Kubernetes, etc) o Security and AAA in a private cloud o Data pipelines and analytics, log collection and analysis · Must have extensive experience and excellent expertise in Linux-based high-performance, highly-available systems development. · Required Degree: Bachelors or higher in Computer Science, Engineering, or related Discipline. · Must have excellent written and communication skills and capable of writing and delivering both presentations and technical papers. · Practical experience contributing to an open source project. · Practical design, development and deployment experience with evolving existing designs towards large scale deployments. · Deep working knowledge of commonly used tools and frameworks utilized by the open source community. · B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is desired. · Practical experience with the Go programming language is desired. · Practical experience building systems on a public cloud infrastructure (AWS, GCE, etc.) is desired. · Practical experience building public cloud infrastructure is highly desired. Additional Information All your information will be kept confidential according to EEO guidelines Salary Range: $ 160,000 - $ 220,000 Type of Employment: Exempt Required Degree: Bachelors or higher in Computer Science, Engineering, or related Discipline.

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.

Galvanick protects the industrial world against cyber attacks. Our threat detection platform defends the modern world against criminals and nation-states that target Operational Technology (OT) systems and networks. This is a chance to work in a startup environment with driven individuals committed to solving cybersecurity's big problems. We are backed by Founders Fund, Village Global, MaC Venture Capital, and others. About the Role We are seeking a talented individual to join our team as an Infrastructure Engineer. In this role, you will play a crucial role in building out our internal tooling and pipelines, with the goal of improving developer experience and enabling faster product iteration. You will be hands-on with Kubernetes, deploying, managing and scaling both cloud and on-prem clusters. A core focus of this role is maintaining and evolving our existing observability stack to ensure system reliability and performance visibility as we scale. You will leverage automation and orchestration to optimize delivery practices and costs. If you are passionate about building robust internal systems, improving developer experience, and ensuring the smooth operation of our infrastructure, we would love to hear from you. What You Will Do * Design, deploy, and maintain Kubernetes clusters across cloud and on-premise environments, ensuring high availability and scalability. * Build and maintain our observability platform using Prometheus, Grafana, and Alertmanager to provide comprehensive metrics collection, visualization, and alerting. * Define and track SLIs/SLOs, create actionable dashboards, and implement alerting strategies to proactively detect issues such as sensor failures or data gaps. * Embrace automation and leverage infrastructure management tools (e.g., Terraform, Ansible, CDK) to improve deployment pipelines and eliminate recurring issues. * Develop and maintain internal tooling to enhance the efficiency and productivity of our development processes. Design and implement CI/CD pipelines that streamline our workflows. * Conduct regular maintenance and troubleshooting activities, ensuring the reliability of our systems and equipment. Who You Are * Strong experience managing Kubernetes clusters in production environments, including deployment strategies, networking, storage, and troubleshooting. * Experience with Kubernetes operators, Helm charts, and GitOps workflows (e.g., ArgoCD, Flux). * Hands-on expertise with the Prometheus and Grafana monitoring stack, including PromQL, custom exporters, and dashboard creation. * Experience with logging and tracing tools (e.g., Loki, OpenTelemetry, Jaeger). * Proficient in CI/CD automation, software development lifecycle, and cloud computing platforms (e.g., AWS, GCP, Azure, GitHub Actions). * Experience administering role-based access control (RBAC) and attribute-based access control (ABAC). * Comfortable integrating with and managing IAM systems and tools such as Keycloak, Okta, and others. * Proficient in scripting and programming languages to implement deployment automation and testing (e.g., Python, Go). Bonus Points * Familiarity with service mesh technologies (e.g., Istio, Linkerd). * Familiarity with managed Kubernetes cloud platforms such as EKS, GKE, AKS, or Rancher. * Familiarity with workflow orchestration tools such as Airflow. Knowledge of security frameworks, compliance, and regulatory standards (e.g., SOC2, GDPR, FedRAMP). * You enjoy solving problems and are naturally curious about the technologies and tools you use. * Comfortable taking risks and owning the accountability for managing them. You have a bias for action. * Startup experience and an understanding of zero to one ideas. You enjoy attacking complex and novel problems. * You hold strong opinions on the best Italian cuisine in the Seattle area. You are able to clearly and reasonably explain pros/cons of various top destinations. Benefits We provide top-of-the-line medical/dental/vision for employees and dependents, and have additional benefits designed to optimize every team member's vitality, health, and wellness. Our compensation reflects the cost of labor across various geographic markets. The base pay for this position ranges from $100,000/year in our lowest geographic market up to $180,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Galvanick is an early stage startup and base salary is only one component of our compensation package. Depending on the position offered, equity may be provided as part of the compensation package, in addition to medical, financial, and/or other benefits. Location The Galvanick team is based in Seattle. Given that we are an early-stage startup working on an exceptionally hard problem, we expect new team members to be in office. We are happy to cover relocation expenses. ITAR Requirements To conform to US Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a US citizen, lawful permanent resident of the US, protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the US Department of State. Learn more about the ITAR here.

About the JobAlignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure. PositionSenior Python Full-Stack Engineer - AI Data & InfrastructureType: Contract, Remote Commitment: 20-40 hours/week Compensation: Competitive, hourly (based on experience) Role Responsibilities- Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows- Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control- Improve reliability, performance, and safety across existing Python codebases- Collaborate with data, research, and engineering teams to support model training and evaluation workflows- Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes- Participate in synchronous reviews to iterate on system design and implementation decisions QualificationsMust-Have- Native or fluent English speaker- Full-stack developer experience with a strong systems programming background- 3-5+ years of professional experience writing production Python. - Experience building evaluation harnesses for ML models, integrating with inference frameworks. - Strong background in observability and metrics collection to monitor system reliability and model performance. - Clear written and verbal communication skills. - Ability to commit 20-40 hours per week. Preferred- Prior experience with data annotation, data quality, or evaluation systems- Familiarity with AI/ML workflows, model training, or benchmarking pipelines- Experience with distributed systems or developer tooling Application Process- Submit your resume- Complete a short technical screening- Project matching and onboarding

• Exposure in managing Azure cloud end -to -end infrastructure, including Azure, networking, provisioning, management, and implementation features (multi -tenancy, virtualization, automation, orchestration, elastic scalability). • Hands on experience in Azure Automation scripts such as Azure Arm template Terraform, Windows PowerShell. • Experience working in large Azure environments, spanning multiple subscriptions, creating and maintaining runbooks, Storage account creation, Key Vault, RBAC and Policy, Experience with CICD pipelines, automation tools, and cloud -native architecture. • Understanding of Azure networking concepts, including virtual networks, ExpressRoute, and application gateways, L2 and L3 Support for Azure Networking ExpressRoute Support. Azure Cloud Infrastructure Operations (L2L3 Support) • Experience in Designing, deploying, and managing Kubernetes clusters on Azure, including configuring networking, storage, and security. • Strong understanding of Kubernetes concepts, including pods, deployments, services, and networking. • Proficiency in Azure Kubernetes Service (AKS) and its related services. • Strong technical knowledge of cloud offerings in Azure in areas related to security, DevOps, operations, monitoring, alerting, storage, and computing. • Troubleshoot and resolve issues related to Azure infrastructure, working with development and operations teams to ensure smooth operation of cloud -based systems. Requirements • Proficiency in scripting languages like PowerShell and Azure CLI for automation and management tasks. • Conduct root cause analysis (RCA) and implement corrective measures. • Manage Azure monitoring tools like Azure Monitor, Log Analytics, and Application Insights for proactive issue detection. • Provisioning Automation of Azure Resources. Vulnerability Monitoring and Remediation, Exposure to Azure IaaS PaaS Services Regards,

Here at Ten4, there's a core focus on Creative Services and Gaming. By only recruiting for Digital Professionals we can give the best attention and satisfaction to both the clients and the candidates. Being a niche company provides the ability to source top notch candidates and to make the best connections possible. Ten4 works with some of the best ad agencies, start-ups, production studios, and video game shops on the West Coast. Job Description 7+ years of software development experience at a major Tech company, gaming studio, video streaming service, or VR/AR project/company Engineer with experience in C/C++ and C# Experience with the Unreal 4 engine is a must! Unity is a major plus Passion for interactive experiences, games, and VR/AR Experience in VR/AR is a major plus Computer Science Degree and an MS Degree preferred Qualifications Developers and Engineers who want to solve challenging Virtual Reality problems Inventive and innovative and excited about staying ahead of the technology trends Self motivated and interested in working in a start-up environment Team player who knows when to take charge and when to ask for help Interested in maximizing developmental output by removing technical roadblocks Additional Information Paying well for a start-up and equity offered for hired individuals! Will provide a small relocation for people in North America with current work authorization and/or able to get a TN Visa.

Application deadline: Jan 21, 2026 The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. It is expected to work from one of the above locations (or customer sites) at least 1+ days in a week. This is not a remote position. You are expected to be in the office or with customers as needed. Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective migration strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences - AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? - Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent work experience - 3+ years of architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc. experience - 3+ years of in design/implementation/operations/consulting with distributed applications experience - 3+ years of agile software development methodology experience - Current, active US Government Security Clearance of TS/SCI with Polygraph Preferred Qualifications - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred - Experience with automation and scripting (e.g., Terraform, Python) - Knowledge of security and compliance standards (e.g., HIPAA, GDPR) - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences - 5+ years of experience in infrastructure architecture, database architecture, networking, and technology/software sales consulting - Professional experience architecting, deploying, and operating solutions on AWS, including migrating or transforming legacy customer solutions to the cloud and managing highly available data center operations with an understanding of federal government security requirements Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. For salaried roles, your Amazon package will include listed sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ***************************************************** . Colorado $131,300 - $177,600 annually National $118,200 - $204,300 annually

About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. About the role Forward Deployed Engineers (FDEs) lead complex deployments of frontier models in production. You will embed with our most strategic government and public sector customers-where model performance matters, delivery is urgent, and ambiguity is the default. You'll map their problems, structure delivery, and ship fast. This includes scoping, sequencing, and building full-stack solutions that create measurable value, while driving clarity across internal and external teams. You will work directly with defense, intelligence, and federal stakeholders as their technical thought partner, guiding adoption, maximizing mission impact, and ensuring successful deployments at scale. Along the way, you'll identify reusable patterns, codify best practices, and share field signal that influences OpenAI's roadmap. This role is based in Washington DC, Seattle or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required, including on-site work with customers. In this role you will Own technical delivery across multiple government deployments, from first prototype to stable production. Deeply embed with public sector customers to design and build novel applications powered by OpenAI models. Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications. Prototype and build full-stack systems using Python, JavaScript, or comparable stacks that deliver real mission impact. Proactively guide customers on maximizing business and operational value from their applications. Forge and manage relationships with customer leadership and stakeholders, ensuring successful deployment and scale. Scope work, sequence delivery, and remove blockers early-making trade-offs between scope, speed, and quality. Contribute directly in the code when clarity or momentum depends on it. Codify working patterns into tools, playbooks, or building blocks others can use. Share field feedback with Research and Product to influence model and product development. Keep teams moving through clarity, judgment, and consistent follow-through. You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience, ideally in customer-facing or government environments. Active TS/SCI clearance or equivalent Have scoped and delivered complex systems in fast-moving or ambiguous contexts. Write and review production-grade code across frontend and backend, using Python, JavaScript, or similar stacks. Are familiar with cloud deployment models (Azure, AWS), Kubernetes, Terraform, and related infrastructure. Have experience building or deploying systems powered by LLMs or generative models, and understand how model behavior affects product experience. Simplify complexity, make fast, sound decisions under pressure, and communicate clearly across technical and non-technical audiences. Spot risks early, adjust without slowing down, and model calm judgment when stakes are high. Are humble, collaborative, and eager to help others with empathy. Operate with high horsepower, thrive in dynamic environments, and can ruthlessly prioritize across multiple projects. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Aff… Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr

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.

About the JobAlignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure. PositionSenior Rust Full-Stack Engineer - AI Data & InfrastructureType: Contract, Remote Commitment: 20-40 hours/week Compensation: Competitive, hourly (based on experience) Role Responsibilities- Design, build, and optimize high-performance systems in Rust supporting AI data pipelines and evaluation workflows- Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control- Improve reliability, performance, and safety across existing Rust codebases- Collaborate with data, research, and engineering teams to support model training and evaluation workflows- Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes- Participate in synchronous reviews to iterate on system design and implementation decisions QualificationsMust-Have- Native or fluent English speaker- 5+ years of professional experience writing production Rust. - Expertise in data parallelism and concurrency patterns to maximize CPU saturation. - Deep understanding of memory layout, SIMD optimizations, and minimizing heap allocations to identify and fix performance bottlenecks. - Clear written and verbal communication skills. - Ability to commit 20-40 hours per week. Preferred- Prior experience with data annotation, data quality, or evaluation systems- Familiarity with AI/ML workflows, model training, or benchmarking pipelines- Experience with distributed systems or developer tooling Application Process- Submit your resume- Complete a short technical screening- Project matching and onboarding