opa jobs in San Diego

Senior AI Systems Engineer responsible for designing and operating secure, auditable identity and trust infrastructure for confidential AI workloads in regulated client environments. Requires deep expertise in workload identity (SPIRE/SPIFFE), secrets management (Vault/OpenBao), PKI, and hardware attestation technologies (TDX, SEV-SNP, SGX).…See more Must demonstrate ability to encode security and compliance controls directly into platform infrastructure across multi-tenant, multi-environment deployments (cloud, on-prem, edge, air-gapped) and produce audit-grade evidence for regulators.

This is a hands-on DevSecOps engineering role focused on designing and maintaining secure CI/CD pipelines, software supply-chain controls, and Kubernetes deployment standards. The engineer will work across Azure DevOps, Nexus, SonarQube, and container orchestration to integrate security and quality checks into build and release workflows, support platform engineering teams, and enable developers with documentation and automation.…See more Responsibilities include implementing SAST, SCA, dependency scanning, secrets management, artifact controls, and compliance alignments (NIST, CMMC, RMF, Zero Trust); troubleshooting pipeline and deployment failures; and creating runbooks and guardrails. The role requires 5+ years in DevOps/DevSecOps, hands-on Azure DevOps and Kubernetes experience, scripting proficiency, and an active Secret Clearance with eligibility for TS/SCI.

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.

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.

Design and build scalable, distributed data platform systems on AWS and Databricks, owning workspace architecture, governance, and lifecycle management. Implement infrastructure as code with Terraform, develop end-to-end data pipelines from ingestion to analytics and ML, and operate Amazon EKS clusters.…See more Define SLIs/SLOs for platform reliability, lead incident response and on-call rotations, implement security and compliance controls, and mentor engineers on platform standards. This senior staff role requires 8+ years building large-scale cloud platforms, 5+ years in Data Platform/DevOps/SRE roles, expert AWS knowledge, and deep hands-on experience with Databricks Lakehouse (Unity Catalog, Delta Lake, MLflow), Terraform, CI/CD pipelines, and Python/Bash scripting.

This Staff Platform Engineer role owns operational strategy and technical direction for enterprise GitLab (3,000+ users) and JFrog Artifactory platforms, leading cloud-native transformation and Kubernetes migrations. The position requires 7+ years of enterprise-scale platform operations, 5+ years each with self-managed GitLab and Artifactory in high-availability deployments, and 3+ years of deep Kubernetes expertise.…See more Responsibilities include designing multi-region active-active systems, establishing cloud-native best practices, mentoring team members, and influencing organizational standards for platform engineering and developer experience. Required expertise spans Linux kernel/networking, PostgreSQL high availability, AWS/Azure/GCP, Kubernetes operators, service mesh (Istio), infrastructure-as-code (Terraform), observability (Prometheus), and production automation in Python, Go, and Bash.