eks jobs in San Diego

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.

Zensar is seeking an experienced AI Architect to design, develop, and deploy enterprise-scale AI and Generative AI solutions. The role requires deep expertise in Large Language Models (Claude, Gemini, OpenAI), multi-cloud platforms (Azure, AWS), and enterprise architecture, with 10+ years in software/cloud architecture and 5+ years designing AI/ML solutions.…See more Responsibilities include defining AI strategy and architecture standards, designing end-to-end GenAI systems (RAG, agentic AI, multi-agent systems), architecting secure infrastructure across Azure and AWS, establishing governance and responsible AI frameworks, and leading adoption programs. The ideal candidate will mentor teams, evaluate emerging technologies, and translate business requirements into scalable, production-grade AI systems.

Senior DevOps Build Engineer responsible for designing and maintaining CI/CD pipelines, build automation, and artifact management systems across defense and government contract programs. The role owns end-to-end build and release engineering, standardizing compilation, packaging, versioning, and promotion across unclassified and controlled environments while integrating security and compliance checks into the build process.…See more Key responsibilities include pipeline design (GitLab CI, GitHub Actions, Jenkins), artifact repository management, build tooling development (Bash, Python, Bazel, Gradle), container image management, and infrastructure provisioning using Terraform. The position requires 8+ years of build/release engineering or DevOps experience, strong scripting skills, and U.S. citizenship with the ability to obtain a security clearance.

The AI Architect will lead the design, development, and deployment of enterprise-scale generative AI solutions across Azure and AWS, partnering with business and engineering leaders to define AI strategy and architecture standards. The role requires deep expertise in modern LLMs (Claude, Gemini, OpenAI), multi-cloud AI platforms, and enterprise architecture, with 10+ years in software/cloud architecture and 5+ years architecting AI/ML solutions.…See more Key responsibilities include designing end-to-end GenAI solutions leveraging RAG, agentic AI, and multi-agent systems; establishing cloud-native deployment patterns; and defining governance, compliance, and responsible AI frameworks. The ideal candidate will serve as a trusted technical advisor to executives, mentor engineering teams, and drive AI adoption through reusable frameworks and reference architectures.

Design, build, and operate cloud-native platform features and services with hands-on engineering focused on Kubernetes, distributed systems, and infrastructure automation. Deliver well-defined work iteratively from implementation through production, contributing to reliability, scalability, and operability through testing, instrumentation, and on-call participation.…See more Collaborate with senior engineers on platform standards while mentoring junior team members. Requires 5+ years of software development experience (or equivalent), production experience with Kubernetes, exposure to at least one major hyperscaler (AWS, Azure, GCP), and proficiency in Go or another systems language.