Top Linux Jobs in San Diego, CA

Lead delivery for the Nebula SaaS platform: run planning, sprint execution, release management, and reliability at scale. Drive cloud platform and architecture modernization, move AI features from prototype to production, hire and develop engineering leaders, and own budget, headcount, and cross-functional partnerships.

The Senior Backend Infrastructure Engineer will design and optimize scalable backend systems on GCP, improve infrastructure and security, and mentor engineers while collaborating closely with product teams.

Lead platform architecture, define reference architectures and golden paths, and treat internal platforms as products. Drive cloud-agnostic, scalable designs across CI/CD, Kubernetes/OpenShift, IaC and cloud providers. Embed DevSecOps and automation, mentor senior engineers, promote inner-sourcing, and prototype AI-assisted engineering to improve developer experience, reliability, and compliance.

As a Mechatronics Engineer, you'll integrate and build components for humanoid robots, focusing on mechanical and electronics engineering tasks.

The Systems Engineer will architect and implement solutions for queueing systems and state stores, improve throughput and latency, and collaborate with teams to enhance the user experience.

As a Software Engineer at Avoma, you will develop and maintain server-side applications, ensuring quality and performance while collaborating with various teams.

As a Backend Engineer, you'll design and implement secure APIs, build cloud-native products, optimize databases, and collaborate on enterprise security integration.

The Solution Engineer will design and implement data quality solutions, work directly with customers, and optimize integrations within their data ecosystems, utilizing Python and modern tools while communicating technical concepts effectively.

As a Software Engineer at Chestnut, you will build and scale their AI-native platform by developing Go services, React UIs, and automation layers while collaborating closely with product and design teams.

Monitor and maintain trading systems, diagnose and resolve production issues, manage deployments and automation for Linux/Windows applications, collaborate with trading and risk teams, and build tools to improve reliability and reduce operational effort.