Top Linux Jobs in San Diego, CA

Lead development, testing, and release of control algorithms for vehicle body systems (doors, HVAC, lighting, HMI, safety, power distribution). Define functional requirements and communication interfaces, perform DFMEA/hazard assessments, create test environments, troubleshoot prototypes and field vehicles, develop diagnostics and manuals, maintain version control and PLM traceability, and drive continuous improvement to meet safety, regulatory, reliability, and performance goals.

Develop and maintain scalable trading applications, optimizing latency and performance for trading operations across financial markets.

Lead SDET work validating Synack's PTaaS platform by designing and maintaining automated test frameworks, writing integration and frontend tests (Playwright), debugging multi-tier web systems, improving CI, collaborating with engineers and customers to reproduce issues, and enhancing developer productivity with internal tools.

The Solution Architect will design tailored integration solutions, partner with clients for seamless transitions to headless commerce, conduct workshops, align client expectations, and adapt to various technical challenges, leveraging the company’s API capabilities.

Own end-to-end product features: define requirements from ambiguous problems, design UX, implement frontend and backend, write tests, operate production systems, and communicate progress and outcomes to stakeholders.

Lead DevOps strategy, enhance CI/CD pipelines, foster collaboration across teams, and mentor engineers to improve the cloud infrastructure and application delivery cycle.

The Senior QA Engineer is responsible for manual and automated testing of embedded systems, iOS/Android apps, and API servers, ensuring quality releases weekly.

Seeking a Software Engineer with 3+ years experience in software development, programming (Go, Java, C++, C#), and strong analytical skills.

The Enterprise Application Architect will document current architectures, drive FedRAMP compliance, design scalable systems, evaluate emerging technologies, and mentor senior developers.

The Quantitative Engineer will develop investment models, optimize portfolios, apply machine learning, and enhance financial workflows in a dynamic startup environment.