Top Linux Jobs in San Diego, CA

Leads mechanical teams supporting U.S. government small boats and craft. Performs maintenance, repairs, troubleshooting, testing, prototyping, inspections, installations, and operations involving engines, pumps, piping, control systems, trailers, transporters, launch systems, and related equipment. Uses technical drawings to support repairs and parts identification while maintaining eligibility for Secret clearance and military facility access.

Build and maintain Gravitee’s API management and AI gateway platform across Java backend services, gateway runtime, management APIs, and TypeScript/Angular interfaces. Develop API security, policies, observability views, data models, automated tests, and production-ready features. Support customer escalations through L3/L4 pager duty, collaborate across international teams, and apply AI-assisted development practices. The role requires full-stack ownership from technical design through release and iteration.

Provides hands-on technical leadership across architecture, infrastructure, backend services, APIs, ML systems, and product development. Partners with the CTO on technical direction, leads design and code reviews, mentors engineers, improves reliability and scalability, and works with customers to translate requirements into solutions. The role requires substantial production software engineering experience, cloud infrastructure expertise, and the ability to guide a growing engineering team without direct management responsibility.

Build Mesh’s financial governance platform from the ground up, partnering with founders and customers to architect and ship backend infrastructure, AI agentic workflows, enterprise integrations, data pipelines, spreadsheet interpretation, evaluation systems, and auditability tooling. The role owns problems end-to-end, from customer discovery and product design through production deployment and iteration, while operating across AI systems, developer tooling, and enterprise software.

Architect and operate large-scale data pipelines that power startup, people, and investment intelligence. Own data quality, discover new data sources, and advance extraction and reconciliation through LLM-powered agentic workflows and evaluations. Work across backend systems, databases, search indices, and GraphQL APIs to deliver customer-facing data products and features, collaborating with GTM, Product, and Design.

Leads end-to-end system integration testing strategy and execution, including test planning, scenario and script review, functional and integration testing, defect triage, quality metrics, environment and test data readiness, stakeholder coordination, UAT support, and release recommendations. Mentors QA personnel and vendors, communicates risks and progress to leadership, and drives automation, shift-left testing, and continuous process improvement.

Own customer deployments from data access through trusted, outcome-driven systems. Responsibilities include exploring undocumented data warehouses, defining business ontologies, building agent-powered signals and workflows, validating outputs, diagnosing failures, measuring customer outcomes, and turning deployment learnings into reusable tooling. The role requires strong customer collaboration, technical judgment, SQL and dbt fluency, applied data science literacy, and comfort with ambiguity. This is a fully in-office position in New York City.

Design and implement high-performance algorithms for robotic guidance, inspection, 3D perception, and navigation in dynamic industrial environments. Build production-ready C++ software, optimize real-time embedded systems, and contribute throughout development from prototyping through deployment. Collaborate across teams to deliver commercial robotics solutions for manufacturing and maintenance applications.

Own end-to-end product development across backend and frontend, translating ambiguous product goals into technical plans and customer-facing features. Build APIs, workflows, data models, AI features, infrastructure, and product logic using modern full-stack technologies. Partner with product, design, customers, and the founding team while making technical and product tradeoffs. Work in person five days per week and occasionally travel to factories or team offsites.

Design and own foundational systems for enterprise AI agents, including distributed agent pipelines, automation editors, graph traversal and indexing systems, and frameworks for autonomous workflow execution. The role focuses on scalable, deterministic, auditable, multi-tenant-safe architecture across complex enterprise data environments. Founding Engineers will work as high-slope generalists, owning architecture, product development, production-quality code, and customer impact in an ambiguous, fast-moving environment.