gke jobs in San Diego

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.

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.

Lead the design and delivery of enterprise AI platforms and applications on Google Cloud, leveraging Vertex AI, Gemini, and cloud-native technologies. Design, fine-tune, and govern LLM solutions; build RAG and agentic systems; and define end-to-end architectures spanning data pipelines, feature engineering, model lifecycle, APIs, and MLOps/LLMOps.…See more Architect cloud-native applications on GKE, Cloud Run, and managed services while implementing security, governance, and production-grade monitoring for AI/ML systems at scale.

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.

Own and evolve infrastructure, deployment systems, and cloud environments powering Clinically AI's healthcare AI platform. Design and maintain GCP infrastructure with focus on GKE, Kubernetes, and secure multi-environment deployments; build Infrastructure-as-Code using Terraform and Helm charts; optimize CI/CD pipelines with GitHub Actions; implement observability, security best practices, and incident response.…See more Work closely with Backend, AI, and Product teams to support scalable infrastructure for services, AI pipelines, and high-throughput workloads.