Top Linux Jobs in San Diego, CA

Serve as senior technical advisor for federal Health IT modernization: evaluate solution architectures, support systems integration and interoperability, guide cloud modernization, ensure security and compliance, develop standards, and lead technical governance and design reviews.

Assist with manufacturing engineering tasks, support projects, and learn practical applications in an engineering environment during the internship.

As a Senior DevOps Engineer, you'll architect reliable infrastructure for autonomous AI systems, ensuring 99.97% uptime while handling high-volume data processing and implementing secure, compliant systems for major retailers.

Design and operate cloud network infrastructure on Azure and AWS, build AI platforms, oversee infrastructure-as-code, and ensure security compliance.

The Senior QA Engineer will define the test strategy for modernization, build automation suites, ensure quality in CI, and conduct various testing types.

The Senior Cloud Data Ops Engineer will optimize and support mission-critical databases across SQL Server, Postgres, and Oracle in cloud environments, automating tasks and ensuring system reliability.

Build and maintain developer tooling and test infrastructure to streamline local development, AI-enabled developer workflows, and reliable end-to-end testing. Ship developer-facing automation, establish patterns and guardrails for responsible AI use, and improve developer experience across the engineering organization.

As an AI Platform Engineer, design and optimize the AI-native platform, develop scalable infrastructure, and collaborate with teams to solve complex AI deployment challenges.

The Software Engineering Lead will oversee the design and development of infrared camera software, manage resources, and mentor junior engineers while ensuring quality and effectiveness.

The Director of Engineering will lead and scale engineering teams, ensuring high-quality delivery while transitioning to an AI-first engineering culture. Responsibilities include managing teams, evolving engineering processes, and collaborating cross-functionally to drive predictable execution.