Top Linux Jobs in San Diego, CA

The Forward Deployed Engineer will lead customer deployments of the AI recruiting platform, configure workflows, integrate systems, and enhance AI-driven solutions while liaising with customers and internal teams.

The Test Automation Engineer will develop automation frameworks, integrate testing into CI/CD pipelines, analyze results, and collaborate on product requirements.

The role involves building and maintaining host provisioning stacks, evolving the orchestration engine, optimizing algorithms, and creating internal tools and CI pipelines. It focuses on improving internal developer experiences through effective system management and operational processes.

As a Fullstack Engineer at Cofounder, you will work on product development across the stack, focusing on user-facing features, integrations, and performance improvements.

The Engineering Director will oversee multi-discipline engineering for a steam turbine power plant, managing teams and ensuring successful project execution from design to implementation.

Windmill seeks a software engineer to help build an AI Management system, focusing on strong technical skills in Node.JS, Typescript, and Postgres.

Lead and own large product areas across Shepherd's full-stack platform (data collection, automated underwriting, policy admin). Ship end-to-end features, make architectural and product decisions, mentor engineers, collaborate with PM/CTO and underwriting/actuarial teams, and operate across frontend and backend domains.

Design, build, and maintain high-performance risk systems for Bullish Clearing. Ensure system resilience, enforce engineering excellence, and collaborate with global teams to evolve architecture.

As a founding software engineer, you will design and implement AI-powered systems for chip verification, collaborating with chip teams and deploying solutions to meet customer needs.

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.