eks jobs in San Diego

ServiceNow seeks a Staff Software Engineer (IC4) for their Data Platform Engineering organization to design, build, and operate cloud-native platform components and services on Kubernetes at scale. You will own well-scoped projects end-to-end, from design through production, collaborating with senior engineers and mentoring junior team members.…See more The role requires 8+ years of software development experience, 5+ years hands-on with Kubernetes, expertise in at least one major hyperscaler (AWS, Azure, GCP), and strong Go programming skills. You will focus on building operators, controllers, automation, and platform services that other teams depend on, with emphasis on reliability, scalability, operability, and infrastructure-as-code practices.

Senior Staff Software Engineer leading design and delivery of multi-tenant, distributed data platform services on Kubernetes at scale. You will mentor mid-level and junior engineers, architect highly available stateful workloads (databases, message queues, caches), and integrate AI into infrastructure and operational workflows.…See more The role requires 8+ years building production distributed systems, deep expertise in Kubernetes and at least one hyperscaler (AWS, Azure, GCP), and hands-on experience operating services like Postgres, Kafka, or Redis at scale with explicit HA, failover, and durability targets.

The DevOps Engineer owns the design, deployment, and operation of production infrastructure at scale across AWS and Kubernetes, with responsibility for CI/CD pipelines, observability, and incident response. The role requires hands-on expertise in AWS services (EC2, EKS, VPC, IAM, S3, RDS), Kubernetes cluster operations, Terraform-based infrastructure-as-code, and monitoring tools like Prometheus and Grafana.…See more You will automate operational workflows with Python, Go, or Bash, lead incident investigations, and partner with software engineers and SREs to improve release velocity and system reliability. 3–8 years of DevOps, SRE, or platform engineering experience is expected.

Senior Software Engineer role at Philips building full-stack ECG solutions for medical devices. Design, develop, and maintain robust applications using Java, Spring Boot, JavaScript, and Angular, implementing microservices architecture and APIs with GraphQL and RabbitMQ.…See more Lead deployment on AWS (EKS, RDS) with focus on CI/CD, security, and compliance with medical device standards (IEC 62304, HIPAA). Requires 5+ years software engineering experience, cloud expertise, and familiarity with regulated healthcare environments.

A Software Integration Engineer at SAIC will design, develop, and deploy a hybrid container/virtualization platform supporting enterprise-scale workloads across on-prem and cloud environments. The role encompasses infrastructure-as-code automation, Kubernetes cluster configuration, DevSecOps practices, and integration of core platform services (identity/SSO, PKI, DNS, logging/SIEM, monitoring, secrets management).…See more Responsibilities include automating verification/validation, establishing CI/CD pipelines and standard operating procedures, supporting GPU-enabled AI/ML workloads, and mentoring junior engineers on cloud-native best practices. The position requires 7–9+ years of experience with cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), virtualization (VMware, Hyper-V, KVM), infrastructure-as-code tools (Terraform, Ansible, Puppet), and DevSecOps toolchains (ArgoCD, GitLab, Jenkins).

VP-level Cloud Delivery Architect responsible for designing reliable, scalable, and secure AWS infrastructure solutions for LPL Financial. The role requires deep expertise in AWS services (Lambda, Glue, RDS, Step Functions, EC2, S3, ECS, EKS, etc.), infrastructure-as-code (Terraform), and cloud security/IAM to lead architecture design, perform systems analysis, and provide technical guidance to cross-functional teams.…See more Must balance fast-paced startup-like execution with formal change control, develop reference architectures, and mentor on best practices across on-premises and cloud environments.

Design and implement secure, scalable cloud infrastructure supporting enterprise data platforms, analytics workloads, and AI/ML environments. Lead cloud architecture strategy including service provider selection, deployment models, and migration techniques.…See more Evaluate emerging cloud and virtualization technologies, collaborate with data engineering and data science teams on enterprise data strategy alignment, and maintain expertise in cloud service delivery models, containers, automation, and infrastructure management.

The MLOps Engineer II designs, develops, and operates scalable machine learning infrastructure and deployment pipelines on AWS, working with data scientists and cloud engineers to productionize ML models. Responsibilities include building ML pipelines using SageMaker, Lambda, Step Functions, and S3; implementing CI/CD pipelines with GitHub and AWS tools; developing Infrastructure-as-Code using CloudFormation, Terraform, or AWS CDK; and ensuring production ML systems are reliable, secure, and cost-efficient.…See more The role requires strong Python coding skills, hands-on AWS experience, production ML deployment experience, and the ability to independently implement technical solutions. Candidates will also lead FinOps optimization, implement monitoring and alerting, ensure security and compliance, and mentor junior engineers.

Staff IT Cloud Engineer at Qualcomm responsible for designing, implementing, and operating enterprise cloud environments across AWS, OCI, and Azure. Establish CI/CD/GitOps operating models, manage Kubernetes platforms, drive cloud governance and FinOps practices, and mentor engineers on infrastructure modernization and platform reliability.…See more Requires 10+ years of cloud/DevOps experience with advanced Terraform, Kubernetes, and enterprise cloud platform expertise; strong hands-on background in AWS, OCI, or Azure with deep understanding of cloud networking, security, and observability.

Design and lead hybrid edge-to-cloud architectures integrating tactical edge, on-premises, and cloud environments across AWS GovCloud, Azure Government, and containerized platforms. Architect solutions compliant with DoD cloud standards (Impact Levels 4–6+), Zero Trust, RMF, and multi-classification security requirements.…See more Implement DevSecOps pipelines with CI/CD, Infrastructure as Code, automated security scanning, and secure deployment practices. Provide technical leadership to engineers, developers, cybersecurity personnel, and government stakeholders through architecture reviews, risk identification, and executive briefings.

The Site Reliability Engineer owns the reliability, scalability, and operational readiness of production services running on AWS and Kubernetes. Responsibilities include designing highly available infrastructure with Terraform and managed AWS services, building CI/CD pipelines with GitHub Actions and Argo CD, defining SLOs and implementing observability with Prometheus and Grafana, leading incident response, and automating operational work with Python, Go, or Bash.…See more The role requires 3–8 years of hands-on SRE or DevOps experience, production Kubernetes expertise, strong AWS and infrastructure-as-code knowledge, and proficiency with observability and deployment strategies.

ResMed seeks a full-stack software engineer with 5+ years of experience to own features across the entire development lifecycle—from design through production. You'll work with a micro-frontend React architecture, design and implement microservices, manage Kubernetes infrastructure, and extend automated testing frameworks.…See more The role spans frontend and backend development (Java/TypeScript preferred) plus DevOps and infrastructure tasks, with occasional production support.

Software Integration Engineer responsible for designing, developing, and deploying a hybrid container/virtualization platform-as-code solution supporting enterprise-scale workloads across on-prem and cloud environments. The role involves integrating core platform services (identity, PKI, DNS, logging, monitoring, secrets management), configuring container runtimes and networking, and developing infrastructure-as-code automation.…See more Requires 9+ years of experience (or equivalent with advanced degree) with cloud platforms, Kubernetes, virtualization, DevSecOps practices, CI/CD tooling, and automation frameworks, plus the ability to mentor junior engineers and collaborate across security, platform, and application teams on compliance, incident response, and AI/ML workload enablement.

Senior Software Engineer role building full-stack ECG and cardiac monitoring applications for medical devices. Design, develop, and maintain scalable microservices using Java/Spring Boot, JavaScript/Angular, and GraphQL, with deployment on AWS/Kubernetes (EKS).…See more Lead development following IEC 62304 medical device standards, HIPAA compliance, and CI/CD best practices. Requires 5+ years full-stack experience, deep expertise in Java and Angular, microservices architecture, AWS cloud technologies, and familiarity with regulated medical device software development.

Senior Software Engineer role at CoStar focused on designing and building production applications using C# and .NET on AWS cloud infrastructure. The position emphasizes leveraging Claude AI for code generation, refactoring, and analysis, while building and operating scalable, cloud-native solutions.…See more Requires strong AWS hands-on experience (EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, CloudWatch), API and backend service development, and solid software design principles. Preferred qualifications include Databricks experience, microservices/distributed systems knowledge, CI/CD and DevOps practices, and Infrastructure-as-Code tools like Terraform and CloudFormation.

CoStar seeks a Senior Software Engineer to design and build production applications using C# and .NET on AWS, with hands-on experience leveraging Claude for AI-assisted development. The role focuses on building scalable, cloud-native solutions and involves building APIs, backend services, system design, code reviews, and mentoring.…See more Required skills include strong C# and .NET expertise, hands-on AWS experience (EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, CloudWatch), Git workflows, and software design principles. Preferred qualifications include practical Claude experience, Databricks, microservices, CI/CD pipelines, and infrastructure-as-code tools like Terraform or CloudFormation.

Lead the design, development, and operation of Qualcomm's enterprise AI platform, supporting agentic AI, model lifecycle management, and multi-cloud ML/inference infrastructure. Own core platform services including identity/RBAC, secrets, service meshes, observability, vector stores, and model gateways across on-prem GPU clusters and managed cloud services.…See more Manage a ~10-engineer global team (platform, SRE, MLOps/LLMOps), drive incident response and continuous improvement, and partner with product and security teams on AI governance and high-impact use cases.

DevOps Engineer to build, maintain, and optimize AWS cloud infrastructure and CI/CD deployment systems, working with ECS, EKS, and EC2 workloads. The role requires hands-on experience with Infrastructure as Code (Terraform), containerization (Docker/Kubernetes), monitoring tools (Grafana), and CI/CD pipelines, with growing ownership of services and systems.…See more You'll troubleshoot infrastructure and application issues, collaborate with engineering teams on deployment workflows, and apply AI tooling to improve infrastructure automation and operational efficiency. The position reports to a DevOps Manager and is based in San Diego on a hybrid schedule.

Design, develop, and deploy a hybrid container/virtualization platform serving enterprise workloads across on-prem and cloud environments. Integrate core platform services (identity, PKI, DNS, logging, monitoring, secrets management) and support GPU-enabled AI/ML workloads.…See more Establish CI/CD pipelines, Infrastructure-as-Code automation, and standard operating procedures for configuration management, verification, and patch management. Lead cross-functional teams on containerization, DevSecOps, incident response, and ATO compliance efforts.

Design, develop, and deploy a hybrid container/virtualization platform supporting enterprise-scale workloads across on-prem and cloud environments. Own infrastructure automation, CI/CD integration, monitoring, security compliance, and platform service integration (identity, PKI, logging, secrets management).…See more Collaborate with cross-functional teams on incident response, vulnerability remediation, and mentorship of junior engineers in cloud-native and containerization best practices.

Senior Software Engineer on the Data Platform team will design, build, and operate cloud-native platform features and services with Kubernetes and hyperscaler expertise. The role requires 5+ years of software development experience (or equivalent), hands-on production software delivery, and proficiency in Go or another systems language.…See more You'll own features end-to-end from design through production, write tests and instrumentation, participate in on-call, and mentor junior engineers through code review and pairing.

Design, build, and operate an enterprise Kubernetes platform at scale across Qualcomm, establishing organizational standards for cluster operations, GitOps workflows with Argo CD, and security policies using Kyverno and Cilium. Own platform reliability, observability (Datadog, Prometheus/Grafana), and cost efficiency while serving as technical authority for security governance and multi-cloud strategy.…See more Lead cross-organizational teams without direct authority, mentor staff engineers, drive technology evaluation across the CNCF landscape, and participate in on-call incident response including 24/7 coverage.

Lead the design, development, and deployment of enterprise-scale Generative AI and LLM solutions across Azure and AWS environments. Define AI architecture frameworks, standards, and governance practices while architecting RAG systems, agentic AI, multi-agent systems, and vector database solutions.…See more Partner with business leaders and engineering teams to translate business requirements into scalable, secure, and responsible AI platforms. Mentor architects and data science teams while evaluating emerging AI technologies and driving innovation initiatives.

Qualcomm IT seeks a Kubernetes generalist to construct, deploy, manage, and troubleshoot high-performance bare-metal on-premises and cloud-based multi-tenant Kubernetes clusters using Rancher (RKE2, GKE, EKS, AKS). Day-to-day responsibilities include monitoring cluster performance and availability, developing platform automation scripts, and leading projects such as self-healing system implementation, Kubernetes version validation, multi-tenancy pattern integration (vcluster), and policy migration (Gatekeeper OPA to Validating Admission Policy).…See more Required skills include 2+ years Kubernetes administration, advanced proficiency in Kustomize/Helm, Docker/ContainerD, git/GitHub, intermediate Kubernetes networking (Cilium) and control-plane architecture knowledge, plus intermediate Python/Go and bash scripting. The role requires full-time onsite work in San Diego, CA.

Senior DevOps Build Engineer responsible for designing, building, and maintaining CI/CD pipelines that compile, test, package, and publish software across defense and government contract programs. The role owns build automation, release engineering, artifact management, and container registries end-to-end, while integrating security and compliance checks directly into the build process.…See more Requires 8+ years of hands-on experience with CI/CD tools (GitLab CI, GitHub Actions, Jenkins), strong scripting skills in Python and Bash, and proficiency with containerization, artifact management, and cloud platforms (AWS or Azure). The engineer will partner with development, security, and compliance teams to deliver self-service tooling and standardize builds across unclassified and controlled unclassified environments.