Top Senior Linux Jobs in San Diego, CA

The role involves providing technical leadership, hands-on execution, and cross-team influence in software engineering, focusing on solutions for scaling and performance challenges while using AI tools.

Lead a team of Cloud and Site Reliability Engineers to ensure system reliability, performance, and security. Manage operational workload including on-call, incident response, and automation to reduce toil. Define observability, disaster recovery, and cost-optimization strategies. Collaborate across squads, recruit and mentor engineers, and align squad vision with the platform roadmap.

Own, build, and operate Ro's internal endpoint and VDI systems across macOS, Windows, ChromeOS. Implement IaC, automate workflows (Tines/Okta), deploy software idempotently, contribute to Zero Trust and security tooling (osquery, Santa), support escalations, and participate in on-call rotations while collaborating with IT, Security, and Risk teams.

Responsible for scaling the consumer finance platform, improving API performance, integrating with third-party APIs, and enhancing user experience for millions of users.

Lead and scale the iOS engineering team, own mobile technical vision and architecture, drive high-quality shipping and CI/CD, mentor and grow engineers, partner with Product and Design on roadmap, use data to measure impact, and foster a high-trust culture across a remote-first organization.

Lead the design, development, and operation of high-scale backend services in Go. Improve APIs, content delivery pipelines, media orchestration, reliability, performance, and resiliency across distributed systems. Partner with Product and engineering teams on architecture, technical planning, testing, observability, incident follow-up, and production support. Drive backend initiatives end to end and contribute to long-term platform strategy.

The Senior Backend Engineer will design, build, and scale AI-driven operations, manage the product lifecycle, and implement AI technologies while ensuring data security and system performance.

Architect and ship full-stack, AI-powered government software using the Palantir stack. Own technical design, implementation, reliability, and performance while translating agency requirements into production features. Lead technical direction, work within classification and data-handling constraints, engage federal stakeholders, and mentor engineers. The role requires building constituent assistants, intake flows, case-routing systems, and agency dashboards at significant scale.

Design, implement, and deploy ML inference engines on custom FPGA/ASIC hardware. Perform HW/SW co-design with traders and researchers, optimize neural networks for low latency, and build quantization/compression tools to translate ML frameworks to RTL for rapid production deployment.

As a Software Engineer, you'll build AI-driven product experiences for scientists, optimize user onboarding, and analyze data to drive growth and retention.