Devops engineer jobs in Renton, WA

The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers. This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have. You can learn more about Neuron ***************************************************************************************** *********************************************** ************************************* ********************************************************************************************* Key job responsibilities This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: * Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators. * Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment. * Build infrastructure to systematically analyze and onboard multiple models with diverse architecture. * Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models * Analyze and optimize system-level performance across multiple generations of Neuron hardware * Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks * Implement optimizations such as fusion, sharding, tiling, and scheduling * Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines. * Work directly with customers to enable and optimize their ML models on AWS accelerators * Collaborate across teams to develop innovative optimization techniques A day in the life You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you're always working on the most important initiative. About the team The Inference Enablement and Acceleration team fosters a builder's culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience - Bachelor's degree in computer science or equivalent - 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on optimizations for improving the model execution. - Software development experience in C++, Python (experience in at least one language is required). - Strong understanding of system performance, memory management, and parallel computing principles. - Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems. PREFERRED QUALIFICATIONS- Familiarity with PyTorch, JIT compilation, and AOT tracing. - Familiarity with CUDA kernels or equivalent ML or low-level kernels. - Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited. - Familiar with syntax and tile-level semantics similar to Triton. - Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments. - Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing. 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 $151,300/year in our lowest geographic market up to $261,500/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.

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. A Packaging Technical Program Manager is responsible for managing the complete packaging lifecycle of Leo customer terminal programs, driving execution of packaging to support product launches and sustaining packaging programs. This role involves managing organizational packaging roadmaps including OP1/OP2 narrative contributions and owning organizational goals as a senior technology program owner accountable for overall strategy and cross-functional team coordination. Key responsibilities include defining the packaging vision and tenets; setting objectives and analyzing data to drive quantified improvements; influencing resource allocation; and creating comprehensive packaging plans with global workback schedules for structural development, testing, and builds (pack outs). The position requires deep understanding of packaging systems, their limitations, scaling factors, and architectural decisions, while coordinating schedule creation with inter-disciplinary teams to ensure packaging structure and artwork development and approval are completed on time, along with providing Bill of Material (BOM) support and managing Print On Demand (POD) labeling design and production. To ensure business and technical stakeholder needs are aligned, you drive mindful discussions that lead to crisp decisions while providing context (past, current, and future) for design direction and long-term perspective. You partner with Industrial Design, customers, and engineering teams to determine a cohesive design language for packaging across the portfolio. You use your technical judgment to question proposals and test assumptions, including whether solutions need to be built at all. You make strategic trade-offs between competing priorities such as time, effort, and feature scope. You create plans with clear, measurable success criteria and clearly communicate progress and outcomes. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Key job responsibilities You identify and bridge gaps between teams, processes, and system architectures. You help teams reduce exposure to classic failure modes such as insufficient requirements documentation, ineffective cross-team collaboration, and long-term impacts from third-party technology dependencies. You solve problems and proactively identify and mitigate risks before they become roadblocks. You demonstrate good judgment in how and when to escalate without damaging relationships. You are data-driven, regularly reviewing metrics and proactively seeking new and improved data mechanisms for visibility. You ensure your program stays aligned with organizational objectives. You understand technical program management and engineering best practices, using this knowledge to assess development processes, test plans, and operations/maintenance requirements. You work with teams to improve concurrent project delivery while streamlining or eliminating excess process. You influence teams to decouple from dependencies and eliminate architecture problems that stifle innovation. You are an excellent communicator who writes effective narratives (Amazon 6-pager) and presents them effectively to Directors and VPs. You deliver the right outcomes with limited guidance. When confronted with discordant views, you find the best path forward and build consensus to influence others. You actively recruit and develop others through mentoring and providing constructive feedback A day in the life Every day brings new challenges to Leo. In the morning, you may be working on the technology roadmap for the next five years and in the afternoon diving deep on a technical issue delaying a build. The ability to set priorities using high value judgement is a must in the role as you will have independence on focus on what you deem critical to the organization. About the team Amazon Leo is focused on providing broadband access to underserved customers across the world. We are passionate about accomplishing this mission as quickly as possible without sacrificing quality or performance. We are constantly solving new problems and embrace people who thrive in a startup like environment and have an entrepreneurial mindset. BASIC QUALIFICATIONS- 5+ years of technical product or program management experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules - 7+ years of relevant work experience in the packaging and/or program management field - BA/BS degree in Packaging, Engineering, UX Program Management, or related studies PREFERRED QUALIFICATIONS- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules - Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership - Experience communicating technical details verbally and in writing - Packaging Engineering, UX Program Management, or direct packaging development experience - 8+ Experience in Aviation, Mobility or Consumer Electronics Program Management - Knowledge or experience in global packaging development and manufacturing. - Experience with label design, label design programs, implementing, utilizing and/or sustaining Print-On-Demand (POD) labeling processes. - Strong interpersonal skills; ability to work closely with people at all levels of the organization to facilitate the implementation of packaging programs including structure, artwork, factory build readiness and escalations. 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 $133,900/year in our lowest geographic market up to $231,400/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.

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Boeing Defense, Space & Security (BDS) is seeking an Advanced Information Technologist - Cloud DevOps Engineer (Level 2) to join the Solutions team supporting the Data Analytics Engineering & Integration organization in Ridley Park, PA; Seattle, WA; Arlington, VA; San Diego, CA; Long Beach, CA; Mesa, AZ; or Hazelwood, MO. You will enable secure, repeatable, and observable delivery of cloud‐native AWS applications, APIs, and DBaaS‐backed solutions by building and operating CI/CD, Infrastructure‐as‐Code, policy‐as‐code, and monitoring platforms while partnering closely with senior Cloud DevOps engineers, other team members, and cross‐functional platform, data, and application teams. Role summary As a Level 2 Cloud DevOps Engineer on the Solutions team you will be hands‐on delivering automation and operational tooling that supports application delivery, dataset handoffs, and DBaaS lifecycle integration. You will implement and maintain CI/CD pipelines, IaC, secrets and key management, centralized policy enforcement (RBAC+ABAC), observability, and runbooks to ensure secure, compliant, and reliable deployments for applications that serve downstream data consumers. Key responsibilities Build, maintain, and improve CI/CD pipelines for applications, APIs, and DB lifecycle changes (GitLab CI or equivalent); automate builds, tests, policy checks, and safe rollback strategies. Author and operate Infrastructure‐as‐Code (Terraform/CloudFormation) for application infra, networking, environment promotion, and DBaaS provisioning. Manage secrets and key lifecycle: integrate Secrets Manager, KMS, and secure vault patterns into pipelines and runtime services. Instrument and maintain observability: metrics, logs, distributed tracing, dashboards, and alerts (CloudWatch, Prometheus, Grafana, tracing) to support SLOs and incident detection. Implement and automate authorization models: support RBAC and ABAC attributes, integrate centralized policy engines (e.g., OPA/IAM conditions/Foundry policies), and include policy checks in CI/CD. Support containerized and serverless deployments (Docker, EKS/ECS, Lambda); manage Helm/manifest automation and container build pipelines. Automate DBaaS tasks in pipelines: provisioning, backups/DR, patching, schema promotion, and lifecycle actions for RDS/Aurora or equivalent. Maintain and author runbooks, incident playbooks, and operational run procedures; participate in on‐call rotations and escalate complex incidents to Level 4/5 engineers. Collaborate with Full Stack, Data, and Platform engineers to enable secure dataset handoffs, app integrations, and enforce ITAR/EAR/GovCloud constraints in deployment flows. Contribute to cost optimization: autoscaling strategies, right‐sizing, and pipeline improvements to reduce cost‐to‐serve. Continuously review and recommend improvements to deployment reliability, security posture, and developer experience. Work arrangement & clearance Hybrid: 1 day per week onsite at a listed location (hiring team discretion). This position requires U.S. Citizenship and the ability to obtain an interim and/or final U.S. Secret Clearance post‐start. Applicable and appropriate educational/certification credentials from an accredited institution and/or equivalent experience is required. Basic qualifications (required) 2+ years hands‐on experience in cloud DevOps or cloud platform engineering, preferably on AWS. Experience building CI/CD pipelines (GitLab CI/CD or similar) and authoring IaC with Terraform or CloudFormation. Familiarity with container workflows and orchestration (Docker and EKS/ECS) and/or serverless (AWS Lambda). Practical experience with secrets management and KMS integration. Working knowledge of monitoring and observability tooling (CloudWatch, Prometheus, Grafana, tracing). Familiarity with RBAC and exposure to attribute‐based or policy‐driven controls (ABAC/OPA/IAM conditions). Proficiency with scripting/automation (Python, Bash, or equivalent). Strong collaboration skills and experience working with senior engineers and cross‐functional teams. Bachelor's degree in Computer Science, Engineering, or equivalent experience. Preferred qualifications (desired) Experience automating DBaaS provisioning and lifecycle (RDS/Aurora) and embedding backup/DR in pipelines. Experience with policy-as-code (OPA) and entitlement/workflow automation for dataset access. Experience operating in AWS GovCloud or regulated environments and practical knowledge of ITAR/EAR requirements. Familiarity with Palantir Foundry integrations or enterprise data platforms. Certifications such as AWS Associate/Specialty, CKA, or relevant DevOps certifications. Experience in aviation, defense, or other regulated industries and working in large matrixed organizations. Relocation: Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense. Drug-Free Workplace: Boeing is a Drug-Free Workplace where post-offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria are met as outlined in our policies. Shift: This position is for 1st shift Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $85,000 - $123,050 Applications for this position will be accepted until Dec. 01, 2025 Export Control Requirements: This position must meet export control compliance requirements. To meet export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.15 is required. "U.S. Person" includes U.S. Citizen, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Read the overview of this opportunity to understand what skills, including and relevant soft skills and software package proficiencies, are required. Education Bachelor's Degree or Equivalent Required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. xevrcyc Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

Title: Beyond Trust Engineer - PAM Job Type: Temporary Assignment Work Type: Hybrid Duration: 6 Months Payrate: $ 70.00 - 70.00/hr. TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. The below job opportunity is to one of Our clients Who is a fashion specialty retailer founded on a simple idea: offer each customer the best possible service, quality, value, and selection. We are looking for an individual to provide specialized Information Technology support for our strategic business partners within the client Corporate Center. Job Description: As a PAM Platform Engineer on Client's Identity & Access Management team, you'll be a key technical specialist responsible for designing, implementing, and maintaining our enterprise-wide Privileged Access Management infrastructure using BeyondTrust. You'll lead the rollout of BeyondTrust and support ongoing management of our privileged access solutions, including password management, endpoint privilege management, and session management capabilities across our retail technology ecosystem. A day in the life: PAM Platform Leadership: Serve as the primary technical expert for privileged access management solutions, including architecture, deployment, configuration, and optimization of password vaults and endpoint privilege management systems Enterprise PAM Implementation: Design and execute large-scale PAM deployments across Windows, mac OS, and Linux environments, ensuring seamless integration with existing infrastructure Policy Development & Management: Create and maintain privilege elevation policies, credential rotation schedules, access request workflows, and governance rules aligned with security and compliance requirements Integration & Automation: Integrate PAM solutions with ITSM platforms, SIEM tools, vulnerability scanners, directory services, and other security infrastructure to create comprehensive privileged access workflows Troubleshooting & Support: Provide expert-level technical support for PAM platform issues, performance optimization, privileged account onboarding, and user access requests Security & Compliance: Ensure PAM implementations meet PCI DSS, and other requirements through proper audit trails, session recording and monitoring, and privileged account governance Documentation & Training: Develop technical documentation, procedures, and training materials for internal teams and end users Continuous Improvement: Monitor platform performance, evaluate new features, and implement best practices to enhance security posture and operational efficiency Skills: 4-6+ years of hands-on experience implementing and managing enterprise PAM platforms such as CyberArk, BeyondTrust, Delinea (Thycotic) in large-scale environments Vendor certifications in one or more major PAM platforms (CyberArk Certified Delivery Engineer, BeyondTrust Certified Implementation Engineer, Delinea certified professional, etc.) preferred Deep expertise in privileged account discovery, credential management, password rotation, session management, and access request workflows using enterprise PAM solutions Strong understanding of Windows Server administration, Active Directory, Group Policy, and PowerShell scripting Experience with Linux/Unix system administration and shell scripting for cross-platform PAM deployments Knowledge of networking fundamentals including protocols, ports, certificates, load balancing, and security hardening Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes) Understanding of identity and access protocols (SAML, OIDC, OAuth, SCIM, LDAP) and their integration with PAM solutions Technical Skills: PAM Platforms: Experience with major vendors (CyberArk Privileged Access Security, BeyondTrust Password Safe/EPM, Delinea Secret Server/Privilege Manager, Ping Identity PingOne Protect) Operating Systems: Windows Server (2016/2019/2022), Windows 10/11, mac OS, RHEL, Ubuntu, SUSE Databases: SQL Server, MySQL, PostgreSQL, Oracle for PAM backend configuration Virtualization: VMware vSphere, Hyper-V, cloud-based virtual machines Scripting: PowerShell, Bash, Python for automation and integration tasks Security Tools: Integration experience with vulnerability scanners, endpoint detection tools, and identity governance platforms Preferred Qualifications: Experience with multiple PAM vendors and platform migration/integration projects Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code (Terraform, Ansible) Familiarity with ITSM integration (ServiceNow, Jira) for ticket-driven privileged access workflows Experience with SIEM integration and security monitoring platforms (Splunk, QRadar, etc.) Understanding of zero trust architecture and least privilege access principles Experience with secrets management platforms (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault) Previous experience in retail technology environments or large-scale enterprise deployments Industry certifications such as CISSP, CISM, or relevant cloud security certifications. Education: Bachelors or relevant exp. TekWissen Group is an equal opportunity employer supporting workforce Diversity.

Job Title: Systems Engineer IV Contract: 6 Months Pay Rate: $92.20,hr, W2 Benefits: Medical, Dental, Vision and Weekly Pay This role demands strong technical expertise in infrastructure and network architecture, coupled with excellent communication and collaboration skills to ensure successful project delivery. You will serve as the primary point of contact for designated projects, coordinating internal resources and leveraging support from supervisory and technical teams when necessary. Key responsibilities include overseeing client-related activities, managing support tickets, and collaborating with cross-functional partners to ensure timely and successful delivery of project milestones and support requests. Engineer Responsibilities: Build, scale, and secure environments within *** enterprise infrastructure, which is a heterogeneous environment encompassing a broad range of operating systems (Windows, Windows Server, virtualization platforms, and Linux) and applications. Apply modern engineering methodologies such as Infrastructure-as-Code, container orchestration, and software-defined storage. Implement systems that are scalable, automated, monitored, and well-documented, and provide training to others for operational tasks. Identify and leverage the scale and complexity of *** larger production infrastructure to solve problems for enterprise customers. Participate in incident root cause analysis across multiple infrastructure layers (compute, storage, network) and implement critical solutions while upholding best standards to maintain high reliability of managed systems. Minimum Qualifications: 5+ years of experience in systems engineering. 5+ years of experience automating the management of infrastructure and services. 5+ years of experience working with monitoring and configuration management tools such as Chef, Ansible, Puppet, PowerShell DSC, etc. 5+ years of experience coding in an object-oriented or functional language such as Python, Ruby, PHP, Rust, Go, and PowerShell scripting (developing advanced functions & modules). Thorough understanding of Windows/Windows Server operating system internals and Linux. Demonstrated experience in completing tasks and small/medium features with minimal guidance. Experience installing and configuring Kubernetes, Docker, OpenCue, and Slurm. Prior experience with Linux operating systems and their internals. Preferred Qualifications: BS or MS in Computer Science, Engineering, or a related technical discipline. Prior experience supporting configuration management in a multi-region environment. Prior experience building services, PaaS, or internal clouds. Prior experience with APIs to streamline administration, management, and monitoring of services. Must-Have Skills: At least 5 Years in Enterprise Environment - Production Level Experience Compute with Kubernetes and/or Slurm Thorough understanding of Windows/Windows Server/RHEL operating system internals and Prior experience with Linux operating systems and their internals. 5+ years of experience coding in an object-oriented or functional language such as Python, Ruby, PHP, Rust, Go, and PowerShell scripting (developing advanced functions & modules). (Additionally, qualified candidates should be comfortable with repetitive tasks, be able to lift 30 lbs, have reliable transportation and type 50 WPM) Nice to Have Skills: Prior experience supporting configuration management in a multi-region environment. Prior experience building services, PaaS, or internal clouds. Prior experience with APIs to streamline administration, management, and monitoring of services. Chef is highly preferred Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation. #TMN

Responsibilities Provide F-F support and mentoring for site users on Palantir Applications including: Quiver, Contour, Workshop, Object Explorer, Pipeline Builder, Automate, AIP Logic, AIP Agent Studio, etc. ad-hoc mentoring sessions with users Regular Office Hours for drop-in sessions (weekly) Regular Lunch n Learn (or similar) sessions (monthly) Coordinate with central teams on onsite training and hackathons Build and run campaign on targeted Palantir Applications to develop deep expertise at site (eg Workshop, AIP) Issue management: responsible for tracking and following up on site-specific Palantir support tickets through to resolution. Site testing: participate in Beta/Early Access testing for centrally developed Palantir Applications (or site applications promoted to central managed). Data quality management and governance: responsible for tracking and following up on Palantir Ontology/Dataset related issues raised at site but not addressed by regular Palantir support ticket. Liaise with central team for data editing permissions and data quality metrics/KPIs. Develop ‘site Palantir skills development plan' for the site; 12 month roadmap of departments/users for targeted skills development campaign. Includes understanding of current platform utilization and agree targets with site LT. R&D - develop documented and re-usable examples of how specific Palantir Applications could be useful for the site with actual data; site users can follow to build their own applications. Experience Expertise in key Palantir Applications including: Quiver, Contour, Workshop, Object Explorer, Pipeline Builder, Automate, AIP Logic and AIP Agent Studio. Expertise in the Palantir ecosystem: understanding role of Ontology, Datasets, code repositories and how permissions are managed in the platform. Knowledgeable in best practices for building and scaling applications developed in Palantir Foundry, including code repositories and branching. Useful: programming (Python and/or typescript, SQL) Useful: knowledge of the refining/downstream business Excellent soft skills - working with end-users and teaching small groups on technology

About the Role: We're building a large-scale synthetic data generation engine to produce realistic observability datasets - metrics, logs, and traces - to support AI/ML training and benchmarking. You will design, implement, and scale pipelines that simulate complex production environments and emit controllable, parameterized telemetry data. 🧠 What You'll Do \t•\tDesign and implement generators for metrics (CPU, latency, throughput) and logs (structured/unstructured). \t•\tBuild configurable pipelines to control data rate, shape, and anomaly injection. \t•\tDevelop reproducible workload simulations and system behaviors (microservices, failures, recoveries). \t•\tIntegrate synthetic data storage with Prometheus, ClickHouse, or Elasticsearch. \t•\tCollaborate with ML researchers to evaluate realism and coverage of generated datasets. \t•\tOptimize for scale and reproducibility using Docker containers. ✅ Who You Are \t•\tStrong programming skills in Python. \t•\tFamiliarity with observability tools (Grafana, Prometheus, ELK, OpenTelemetry). \t•\tSolid understanding of distributed systems metrics and log structures. \t•\tExperience building data pipelines or synthetic data generators. \t•\t(Bonus) Knowledge of anomaly detection, time-series analysis, or generative ML models. 💸 Pay $50 - 75/hr depending on experience Remote, flexible hours Project timeline: 5-6 weeks

Apple is seeking a highly skilled Release Platform Engineer to join their Information Intelligence teams, which focus on cutting -edge technology related to algorithmic search, machine learning, natural language processing, and artificial intelligence. In this role, you will be responsible for designing, implementing, and maintaining software release pipelines for Apple's search products, emphasizing automation, scalability, and reliability. Key qualifications include proficiency in Python programming, experience in release engineering or DevOps roles, familiarity with AWS services, CI/CD tools, containerization, and orchestration tools, strong problem -solving skills, and excellent communication and teamwork abilities. Your role will involve building and maintaining release platform tools and pipelines, streamlining release processes, and enhancing automation to accelerate validation and shipping of releases. The position offers competitive compensation within a base pay range of $131,500 to $243,300 per year, along with a comprehensive benefits package, stock options, educational reimbursement, and potential bonuses or commissions. Apple values diversity and inclusion and is an Equal Employment Opportunity Employer.

**What DevOps Engineer Contributes to Cardinal Health** The Senior DevOps engineer reports to the DevOps manager. The engineer works closely with software engineers, QA teams and other DevOps engineers to manage the project knowledge base and implement solutions for Cardinal's software platforms. The engineer carries out builds, deployments, and automated testing operations through automated pipelines. The engineer maintains the pipelines, integrates new automated steps, and suggests improvements. **Responsibilities** + Ensure the quality and completeness of pipelines. + Develop new pipelines. + Support, maintain, and document pipelines functionality. + Assist the manager with project planning and estimation. + Perform deployments. + Integrate new tools into the pipelines. + Manages our cloud resources. + Perform other duties as needed or assigned. **Qualifications** + Minimum 3 years' developing CI/CD/CT solutions on **Azure DevOps** . + Minimum 2 years' **Experience with Harness platform** and tool integration on Feature flags, CI/CD and monitoring is required. + 8-12 years of experience, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Experience with build automation, continuous integration, and source code branching strategies (Azure DevOps, Git and GitHub). + Understanding of web technologies (HTML, JavaScript, CSS, Angular). + Familiarity with Azure Cloud and GCP Technologies. + Exposure to Agile software development practices. + Desired: Knowledge of healthcare systems. + Experience with Test Driven Development (TDD) is a major plus. + Administering Azure DevOps, GitHub, Harness, End 2 End Build and release engineering, cloud computing, DevOps Implementation. + Experience in provisioning infra/maintain through Terraform (Azure/GCP and confluent Kafka). + Troubleshoot and identity performance, connectivity and other issues for application hosted in Azure platform or GCP. + Skilled in implementing cost saving measures ensuring proper utilization of available resources. + Experience in Azure and GCP Kubernetes services. + Strong knowledge on azure networking, storage, Webapp, VM, Azure AD. + Experience with managing infrastructure on GCP. **Anticipated salary range:** $123,499 - $158,670 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 01/23/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Hi, Greetings Hope you are doing great! I would like to update you on an urgent open position with our esteemed client. Please go through the Job Description. Send me your updated resume and expected rate for the below position. Role: Test Engineer - DevOps Engineer , .Net, AWS Duration: Full TIme Location: Seattle, WA Qualifications Basic • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. • At least 1 year of experience with Information Technology Preferred · At least 1 year of QA experience in creating, modifying or designing Automation frameworks, Continuous Integration and Continuous Development (CI / CD) · At least 1 year of experience in .Net C#. · Must have experience in AWS Cloud technologies and automation within - AWS CLI or Cloud Formation · Knowledgeable in writing code to test code · Knowledge of Test Automation · Experience scripting PowerShell and Infrastructure Automation · Have Database knowledge - SQL and NoSQL. · Good knowledge in Retail domain · Experience and desire to work in a Global delivery environment · Analytical and Communication skills · Experience and desire to work in a Global delivery environmen Qualifications • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description About the Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We're looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere . About the role We are looking for an experienced and detail-oriented Lead Platform Engineer to join our growing Edge team. This is a critical role where you will leverage deep technical expertise in cloud infrastructure and Kubernetes while valuing mentorship, collaboration, and open communication. You will be responsible for the overall architecture, design, automation, optimization, and operation of our Kubernetes-based platform, supporting our Galleon mobile data centers and cloud integration. You will work on building and managing resilient, secure, and scalable Kubernetes environments across diverse edge locations and cloud infrastructure, ensuring the reliability of our distributed computing platform. Location. This role is office-based at our Bellevue, Washington office. What You'll Do (Key Responsibilities) Architect and Lead the design, deployment, configuration, and management of highly available Kubernetes clusters on-prem (Galleon data centers) and cloud (AWS, Azure, GCP) environments. This includes designing the cluster layout, resource allocation, and storage configurations. Mentor and Guide team members in administering, maintaining, and monitoring the health, performance, and capacity of Kubernetes clusters and underlying infrastructure. Implement and manage Kubernetes networking solutions (CNI plugins, Ingress controllers) and storage solutions (PV/PVC, Storage Classes, CSI drivers). Design, deploy, configure, and manage Microsoft Azure Local and HCI environments. Maintain and monitor containerized platform services running within the clusters and robust monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, ELK stack). Drive Infrastructure-as-Code (IaC) initiatives using tools like Terraform, Ansible, Helm, and potentially Kubernetes Operators, promoting automation, repeatability, and reliability. Support and troubleshoot complex issues related to the Kubernetes platform, containerized services, networking, and infrastructure. Implement and enforce Kubernetes security best practices (RBAC, Network Policies, Secrets Management, Security Contexts, Image Scanning). Automate cluster operations, deployment pipelines (CI/CD integration), and infrastructure provisioning using Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible). Lead the optimization of Kubernetes clusters for performance, scalability, and resource utilization, particularly in edge environments. Develop and maintain comprehensive documentation for cluster architecture, configurations, operational procedures, and runbooks. Work in collaboration with software engineering, DevOps, security teams, and product managers to ensure seamless integration, deployment, and secure operation of applications on Kubernetes. Lead the evaluation and integration of new technologies from the Kubernetes ecosystem. Contribute to the operational excellence of the platform, including participating in on-call rotations, incident management, and building self-healing capabilities. Required Qualifications At least 12+ years of experience in DevSecOps/SRE and platform engineering, with a significant focus on building and managing complex production environments. Minimum of 5 years of hands-on experience designing, deploying, and administering production Kubernetes clusters, with experience specifically in on-premises and bare-metal deployments. Deep expertise in Linux administration and troubleshooting, demonstrated through at least 5+ years of hands-on experience managing complex Linux environments. Deep understanding of Kubernetes architecture, core components, operational best practices, and lifecycle management. Strong understanding and proven experience with Infrastructure as Code (IaC) solutions, particularly Terraform and/or Ansible. Proficiency in scripting languages (e.g., Python, Bash) for automation. Experience configuring and managing monitoring/logging tools (e.g., Prometheus, Grafana, ELK Stack). Solid understanding of Linux operating system, networking fundamentals (TCP/IP, DNS, Load Balancing, Firewalls, VPNs) and container networking (CNI). Strong understanding of Kubernetes security concepts and implementation (RBAC, Network Policies, Secrets). Ability to work independently and collaborate effectively with others to debug and solve problems. A bachelor's degree in computer science, Engineering, Information Technology, a related technical field, or equivalent practical experience. Preferred Qualifications Experience with Red Hat OpenShift Container Platform. Experience deploying and maintaining CI/CD solutions for DevSecOps, such as GitLab CI or Jenkins. Strong development experience using Docker, docker-compose, and/or Kubernetes. Experience developing Ansible playbooks for process automation. Kubernetes certifications (CKA, CKS, CKAD). Experience with Kubernetes operators and Custom Resource Definitions (CRDs). Experience with service mesh technologies like Istio or Linkerd. Experience managing Kubernetes in edge computing or resource-constrained environments. Why Join? Be part of a team building the future of distributed computing and AI, impacting our innovative Galleon data center deployments and their integration with Atlas. Work with the latest technologies in edge computing, mobile data centers, AI infrastructure, Kubernetes, and cloud integration. We are a rapidly growing company with ample opportunities for advancement. Collaborate with talented and passionate individuals dedicated to pushing boundaries. Compensation For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications. In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request). Benefits Competitive base salary and equity Medical, dental, and vision (subsidized cost) Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA) Retirement plan options, including 401(k) and Roth 401(k) Unlimited paid time off (PTO) 15 paid company holidays per year #LI-ST1 #LI-Onsite #525 Compensation$180,000-$225,000 USD You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time. Unsolicited Resumes and Candidates Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.

Our Opportunity: Advertising is a critical component of the ecommerce ecosystem and provides a critical revenue stream to the company. The Chewy Sponsored Ads team is focused on delivering data-driven, performance-based marketing solutions. We empower brands to connect with their audiences through innovative ad tech, intelligent automation, and compelling creative experiences. Join us and help shape the future of advertising technology. As a Software Engineer II, you will be an integral part of our engineering team, contributing to the development of scalable, high-performance systems that power our digital advertising platforms. You'll work across the stack with modern technologies, collaborate with cross-functional teams, and help drive innovations in areas like real-time bidding, user segmentation, data pipelines, and campaign optimization. Sponsored Ads crafts an outcome where everybody wins ecosystem for shoppers, brand owners and Chewy. Shoppers (pet Parents) are offered a range of alternate options to help them choose better and learn about new products, new brands, new promotions, and different price points. Brand owners and advertisers get to showcase their product offerings in the front row for their target audience (improvet owners) and improve their reach. Come be part of the Sponsored Ads team's impactful journey at Chewy! What You'll Do: Design, develop, test, and maintain robust software systems in a high-traffic, low-latency environment Contribute to architectural decisions and technical designs for new and existing systems Collaborate closely with product managers, data scientists, and DevOps teams to deliver features that align with business goals Write clean, maintainable code and participate in code reviews to ensure standard processes and high quality Work on large-scale data systems used for audience targeting, analytics, and personalization Debug and resolve production issues, continuously improving system reliability and performance Mentor junior engineers and provide technical guidance within the team What You'll Need: Bachelor of Science or Master's degree or equivalent experience in Computer Science, Engineering, Information Systems or related field. 3-5 years of professional software engineering experience Strong proficiency in one or more programming languages (e.g., Java, Python, Go, TypeScript) Experience with cloud services (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes) Familiarity with large-scale distributed systems, message queues (Kafka, RabbitMQ), and streaming data processing. Knowledge of databases (SQL and NoSQL) and data modeling. Understanding of RESTful APIs and microservices architecture. Strong problem-solving skills and attention to detail. Experience in ad tech, martech platforms is a plus. Preferred Qualifications: Hands-on experience with programmatic advertising systems (DSPs, SSPs, DMPs) Exposure to real-time bidding (RTB) protocols or ad exchange integrations Familiarity with the AWS ecosystem (e.g., EC2, S3, Lambda, DynamoDB, EMR, Athena, etc.) Knowledge of privacy frameworks (GDPR, CCPA) and how they impact data handling Background in machine learning or predictive modeling in the ad space! The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate's relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. Base Salary Range$120,500-$193,500 USD Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact **************. To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. NVIDIA has a rapidly expanding ecosystem of data center platform & node designs. From single node HGX/DGX systems all the way up to large multi-node NVLink domain rack architectures. These designs have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. Each bringing together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. NVIDIA NVLink Fusion will enable industry-leading AI scale-up and scale-out performance with NVIDIA technology plus semi-custom ASICs or CPUs. NVIDIA's robust partner ecosystem enables hyperscalers to build an ASIC hybrid AI infrastructure with NVIDIA NVLink, rack-scale architecture. We're searching for a highly motived, technical architect to champion work across NVIDIA's Software, Architecture, Networking and Systems engineering teams in defining the architecture for NVLink Fusion. Ensuring we have seamless integration of partner ASICs/CPUs into our rack-scale architecture. Establishing the necessary abstraction layers, guidance/documentation and SW engagement models to make both NVIDIA & its partners successful. What you'll be doing: * Define NVLink Fusion architecture, leveraging industry leading NVIDIA scale-up and scale out technologies as a foundation * Establish appropriate software abstraction layers & reference software required for NVLink Fusion partners to extend NVIDIA's rack-scale architecture. * Work directly with major customers to understand their requirements and work to align their roadmap with NVIDIA's roadmap. * Work with business partners and vendors to shape their products to meet NVIDIA's needs. * Mentor architects and engineering teams to grow them into future leaders. * Make key technical decisions even when faced with ambiguity, and mitigate execution risks by following left shift strategy to accelerate time to market. What we need to see: * BS or MS degree in Computer Engineering, Computer Science, or related degree or equivalent experience. * 16+ years in the area of System architecture and design * Deep experience in designing architecture for scalable and performant server systems, particularly at the SW/HW interface. * Previous experience working with complex system software for accelerators such as GPUs, DPUs, or FPGAs * Expertise in out-of-band and in-band management architectures. * Knowledge of device management protocols such as MCTP, PLDM and RDE. * Knowledge of system management protocols such as Redfish and IPMI. * Demonstrable experience in implementing left shift strategy to de-risk program execution. Excellent written and verbal communication skills. Ways to stand out from the crowd: * Knowledge of cloud and cluster level deployment and management systems. * Participation and contributions in standards bodies such as OCP and DMTF. * Familiarity with CXL, UCIE and other C2C technology architectures. Knowledge in storage and networking technologies. We are widely considered to be one of the technology world's most desirable employers, and as a result have some of the most forward-thinking and hardworking people in the world working for us. So if you're clever, creative, and driven, we'd love to have you join the team. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 308,000 USD - 471,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 4, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Title: Automation Release Engineer Openings: 1 Type: Full-time Hire CLIENT is an innovative developer and world-class publisher of a diverse portfolio of casual game franchises. We serve millions of players every day and are dedicated to providing players with the opportunity to play, connect, compete and discover anywhere and on any device. We are dedicated to enhancing life through exceptional play. Automation is the Mission The CLIENT CentralTech team is looking for an Automation Release Engineer to bring automation to our release pipeline. Our ultimate goal is to automate as much as possible from the moment a commit is made into a source repository to when a game is uploaded to an app store. This job will require an ability to research and evaluate existing technologies, as well as strong software engineering skills to implement a solution that will help us achieve our goals. You will be part of a small team, so the ability to work independently and efficiently, with a flexible approach to solving problems is a must. Responsibilities Own current and to be developed software and tooling used to automate the build, release and publishing of mobile games for iOS and Android Work with engineering teams and mobile client operations to architect, standardize, and automate build and release processes in cloud projects, with a focus on CI/CD Evaluate and research automation solutions, including existing internal frameworks Help maintain legacy build and release pipelines with an eye toward migrating/deprecating services as necessary. Enhance CLIENT documentation around build and release processes Qualifications Architect level software engineering experience A growth mindset and willingness to learn new skills Excellent communications skills Flexible in what you do and a willingness to try new things Detail-oriented, motivated, results driven, and a self-starter who can work without supervision Experience with CI/CD systems like Jenkins, GitHub Actions etc Experience with containerization environments Experience with “Infrastructure As Code” Experience with modern source control Experience with cloud platforms Experience with scripting/coding, Python/Ruby/Java preferred Strong Architecture and Design skills A team player who is able to accept feedback and gather requirements from multiple sources Preferred Qualifications Familiarity with artifact storage/management systems such as Nexus Sonatype or JFrog Familiarity with networking concepts, especially in cloud environments. Experience working in an Agile methodology project environment. Experience designing and building test automation tools/systems using open source test automation tools Experience with mobile app automation tools such as Appium and Headspin Experience working on a development team that practices Agile/scrum methodologies

Who we are In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter - to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry's, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. What you'll do Lead the development, architecture, and maintenance of real-time streaming pipelines with Apache Flink, Kafka, and related tools to ensure low-latency, reliable data delivery. Implement data quality strategies, including dynamic filtering, checkpointing, and auto-healing for robust, consistent pipelines. Support and operate real-time data infrastructure, internal tooling, and monitoring systems for pipeline health and performance. Collaborate cross-functionally with product, engineering, and analytics teams to address data needs and feature requests. Establish and promote best practices in streaming data engineering, data governance, and cloud platforms while optimizing data models for streaming analytics. What we're looking for Exposure to streaming data frameworks/tools (e.g., Apache Kafka, Apache Flink, Google Data Flow, etc.) Bachelor's degree in Computer Science, Engineering, or a related field (or relevant practical experience). Experience in programming languages (Java, Python, or Scala) and their application in distributed computing systems. Experience with SQL and relational data modeling concepts. Strong problem-solving skills with a collaborative, proactive attitude. Good communication skills; ability to explain technical concepts to team members. Why join us Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030. Changing the restaurant industry: You'll be part of a team that helps restaurants succeed in online food delivery. Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you'll work closely with other teams to ensure our customer's success. What else you need to know This role is based in our Seattle office. As a company driven by innovation and continuous change, close collaboration is essential. We're constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That's why all of our office-based teams work onsite, five days a week. The base salary range for this role is $167,000 - $230,000 Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options). Company-paid life and disability insurance (short- and long-term). Voluntary insurance: accident, critical illness, hospital indemnity. Optional supplemental life insurance for self, spouse, and children. Pet insurance discount. 401(k). Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Ready to join us as we serve those who serve others? #LI-Onsite

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Product Engineering is a unified team responsible for the engineering of Disney Entertainment & ESPN digital and streaming products and platforms. This includes product engineering, media engineering, quality assurance, engineering behind personalization, commerce, lifecycle, and identity. Summary: Disney+ is the Disney-branded streaming service featuring an incomparable collection of content from its brands and franchises recognized and respected all over the world including Star Wars, Marvel, Pixar, Disney, and NatGeo. Our combined Hulu and Disney team is looking for hardworking team players, who will thrive upon the legacy of Disney and Hulu, embrace unconventional thinking, and who are passionate about contributing to The Walt Disney Company's direct-to-consumer (DTC) experience. We are making major enhancements to our multi-region, multi-tenant core image service platform to enable all of our brands to have the same dynamic experience. You can be a part of building a unified image service platform that will encapsulate the very best of Hulu and Disney. This position might be right for you if: * You want to help us build a core image manipulation and delivery platform that impacts every fan of our products * You're a curious and efficient engineer who wants to feel empowered to help define the direction of development and work side-by-side with some of the brightest minds in our organization * You enjoy working with other brilliant engineers in a challenging but supportive environment, learning from others and sharing your expertise with them Responsibilities: * Design core, backend software components for the Image Service Platform * Collaborate with other Image Service engineers and external engineering teams to evaluate and design appropriate solutions to effectively meet Product requirements * Build and manage code in AWS using CloudFormation or Terraform * Evaluate new or existing technologies and products for implementation, considering costs, usability, compatibility and scalability * Create technical documentation and runbooks for reference and reporting purposes * Use a mix of technologies including Scala, Java, Python, Kafka, Kinesis, DynamoDB, MySQL and an array of AWS native services * Collaborate with other team members (including product owners, TPMs, and other stakeholders) to achieve product and business requirements * Conduct design and code reviews * Analyze and improve efficiency, scalability, and stability of various system resources Basic Qualifications: * BS, BA, or advanced degree in computer science, engineering, or its equivalent * 3+ years of experience building internet-scale API or services applications * Experience in a Scala and alternative JVM application development environments (Java/Kotlin) * Familiarity with the AWS environment, including ECS (Docker), S3, EC2, Lambda, CloudWatch * Familiarity with infrastructure as code such as Terraform, CloudFormation * Understanding of software development fundamentals * Familiarity with writing unit, integration and functional tests * Familiarity integrating with service APIs and/or SDKs * Understanding of agile processes software team with version control & project management tools (e.g. Github, SVN, Jira, Basecamp) * Creative and inventive problem solving * Strong interpersonal and communication skills, and a team-focused approach towards software development. Preferred Qualifications: * Experience in Java, Python * Knowledge of these database solutions, DynamoDB, MySQL/Aurora, Redis Elasticache, MongoDB, Cassandra * Experience building scalable, fault-tolerant, high-uptime systems #DISNEYTECH The hiring range for this position in Seattle, WA and New York, NY is $123,000 to $165,000 per year; in Santa Monica, CA and Glendale, CA is $117,500 to $157,500; and in San Francisco is $128,700 to $172,500 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. About Disney Entertainment and ESPN Product & Technology: At Disney Entertainment and ESPN Product & Technology, we're blending imagination and innovation to reimagine the ways people experience and engage with the world's most beloved stories and products. Our work is wide-ranging and deeply sophisticated. We create amazing experiences, transform the future of media, and build products and platforms that enable the connection between people everywhere and the stories and sports they love. Disney's ability to marry world-class technology with one-of-a-kind creativity makes us unique. It is at the heart of our past, present, and future. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Streaming Technology LLC, which is part of a business we call Disney Entertainment and ESPN Product & Technology. Disney Streaming Technology LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Duration : 12 Months (Could go beyond) Job Description: You will be responsible for programming web services to call and interface with the QIE interface engine; setting up QIE channels to talk to EMR and PM systems and customizing and configuring them. Works independently and contributes to the immediate team and to other teams across business. You will also contribute to design discussions. Essential Responsibilities: In this role, you will: • Work with Product Line Leaders (PLLs) to understand product requirements & vision • Translate requirements / vision into prioritized list of user stories and deliver to required timelines and quality standards • Work with product line leaders and architects to develop software • Drive world-class quality in the development and support of products • Communicate effectively both within immediate team and with PLLs • Apply principles of SDLC and methodologies like Lean/Agile/XP, CI, Software and Product Security, Scalability, Documentation Practices, and Testing Techniques • Write code that meets standards and delivers desired functionality using the technology selected for the project • Understand performance parameters and assess application performance • Work on core data structures and implement them using technology chosen • Proactively share information across the team, to the right audience with the appropriate level of detail and timeliness Qualifications Basic Qualifications: • Familiar with Qvera Interface Engine (QIE) • Experience to create and deploy a QIE interface • Understand mapping concept and SOAP/REST web services • Fluent in JavaScript • Developing/debugging the web services, XML • Knowledge of HL7 would be beneficial. • Knowledge of CRON expressions • Experience with Windows • Experience with JBoss/ Tomcat webservers • Strong oral and written communication skills • SQL or Oracle experience Additional Information To know more about this position, please contact: Himanshu Prajapat ********************************** ************

LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. Job Description Location: The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Overview: As a Distinguished Engineer- at LinkedIn, you will architect and lead the next generation of AI solutions that power LinkedIn's search experiences by employing the latest techniques - from LLMs to broader innovative AI methods - at scale. You will design strategies for holistic optimization of LinkedIn's ecosystem across all consumer product surfaces to create a cohesive, highly personalized experience for our members. LinkedIn relies on innovative AI research and applications that you will help us build. As a key leader in the organization, you will lead research, design algorithms, build software, anticipate and influence the state of the art in the industry, and leverage and create open-source software in the process. Responsibilities: * Set Technical Vision: Shape the future of LinkedIn Search by combining AI, LLMs, and systems innovation to deliver highly relevant and personalized member experiences. * Architect for Scale: Build scalable, high-availability infrastructure to handle billions of queries reliably and efficiently. * Drive Product Strategy: Partner closely with product, design, and AI teams to align technical investments with member and business needs. * Foster a High-Performance Culture: Champion engineering best practices, quality, operational rigor, and innovation across the team. * Cross-Functional Leadership: Influence and collaborate across multiple teams and stakeholders to drive complex, high-impact initiatives forward. * Stay Ahead of Trends: Monitor emerging technologies and industry trends to ensure LinkedIn Search remains an industry leader. Qualifications Basic Qualifications: * PhD in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience * 10+ years of relevant work experience Experience leading technical projects with multiple stakeholders Preferred Qualifications: * 10+ years experience in building engaging AI-powered consumer products at scale, with at least 5 of those years in a technical- leadership position * Experience in designing and optimizing search and recommender systems that create highly personalized experiences for LinkedIn's members and scale to solve complex business problems * Experience in leading large scale development projects from concept to multiple releases in production * Experience of technical leadership guiding and mentoring engineering and operations talent * Experience leading high-impact, cross-company initiatives Suggested Skills: * Mentoring * Technical Leadership * Machine Learning You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all- levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $248,000 to $406,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

Team: Pricing Services Key Skills: Golang, SQL, TypeScript/Javascript, React About the Team The Pricing Services team is responsible for developing and maintaining the systems that support Opendoor's pricing engine. The team builds backend services in Go that implement pricing algorithms and expose APIs for both internal and external consumers. These services process and analyze large volumes of data stored in PostgreSQL databases. The team also develops internal web applications using React and TypeScript for pricing operations, analytics, and workflow management. Development is organized around cross-functional projects that require coordination with engineering, data science, and product management. Work involves end-to-end ownership, from system design and implementation to code review and operational support. All systems are deployed on Linux and rely on a stack that includes Go, PostgreSQL, TypeScript, React, Kafka for streaming, Redis for caching, BPMN for workflow, and gRPC for service communication. The ideal candidate will bring strong experience in Golang, SQL, and TypeScript/Javascript, as well as proficiency with React. What You'll Do Implement and maintain backend pricing algorithms and services in Go Write and optimize SQL queries for large data sets in PostgreSQL Build and update React-based UIs using TypeScript Integrate pricing services with Opendoor's main platform Participate in code reviews, technical discussions, and troubleshooting What You'll Need 1+ years Fullstack software development (production experience) 1+ years Golang (backend/API development) 1+ years SQL (query optimization, database design) 1+ years TypeScript (application logic, React components) 1+ years React (UI development) Nice to Have Kafka (streaming/event-driven systems) BPMN (workflow/process automation) gRPC (microservices communication) Environment: Go, PostgreSQL, TypeScript, React, Kafka, Redis, BPMN, gRPC, Linux Compensation The base pay range for this position is $143,400-$196,900 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees. About us…. Powering life's progress, one move at a time Since 2014, we've been reinventing life's most important transaction with a new, simple way to buy and sell a home. The traditional real estate process is broken, and our mission is clear: build a digital, end-to-end experience that makes buying and selling a home simple and certain. We're a team of problem solvers, innovators, and operators building the largest, most trusted platform for residential real estate. Whether it's starting a family, taking a new job, or making a life change, we help people move forward with confidence. This work isn't easy, and it's not for everyone. But if you want to be part of a team that's tilting the world in favor of people who want to sell, buy, or own a home then you'll find purpose here. Opendoor Values Openness We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. We collect, use, and disclose applicant personal information as described in our personnel privacy policies. To learn more, you can find the policy details for California residents here and for Canada residents here. We are committed to assisting members of the military community in utilizing their skills at Opendoor. U.S. candidates are able to review your military job classification at MyNextMove.org and apply for positions that align with your expertise. At Opendoor, we are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at ********************************.