Top Linux Jobs in San Diego, CA

Full‑stack product engineer role with backend emphasis: build scalable Node.js services, develop React + TypeScript UIs (React Router v7), design APIs (tRPC/OpenAPI), optimize PostgreSQL queries and data pipelines, improve observability and infrastructure, write well‑tested code, and contribute to architecture and engineering practices in a fintech product.

Build and own backend services, APIs, data pipelines, infrastructure, and ML systems powering an AI-native video platform. Solve distributed systems, scaling, concurrency, and performance challenges; deploy and operate generative AI models; integrate third-party providers; and improve product quality through instrumentation and experimentation. Partner cross-functionally to deliver reliable production systems and end-to-end projects in a fast-paced startup environment.

Define architecture and technical direction for Catalyst’s distributed data platform, including messaging, state management, reconciliation, streaming, storage, CI/CD, and Kubernetes operations. Build Go and Python frameworks, improve reliability and SLOs, lead incident response, maintain secure dependency and artifact delivery, and develop infrastructure automation. Collaborate across teams and with customers, review designs and code, establish engineering standards, and travel internationally up to 25% to support mission-critical deployments.

Designs, implements, supports, and optimizes MES and ERP-connected manufacturing systems. Develops digital manufacturing processes, requirements, specifications, test plans, documentation, training, and user acceptance testing. Provides advanced end-user support, resolves system issues, performs root-cause analysis, and coordinates change management. Analyzes production data and business processes to improve safety, quality, productivity, and cost efficiency while managing cross-functional implementation projects and supporting continuous improvement initiatives.

Work on data collection, automation, and data processing pipelines; build scheduling tooling, data cleaning/normalization, monitoring dashboards, and assist with DevOps. Mostly Python codebase with some Typescript and Golang. Office presence in downtown San Francisco a few times per week.

Build and own full-stack AI applications, data APIs, dashboards, and cloud-native services. Develop Python and Node.js backends, React frontends, AI/ML integrations, RAG pipelines, authentication, API management, testing, CI/CD, and performance improvements. Collaborate with AI/ML engineers, data scientists, product, and design teams to deliver scalable, reliable, intuitive, and responsible AI experiences.

Develop web applications across varied technology stacks, participate in application planning and implementation, design user-focused solutions, interact with clients, and maintain quality, security, and bug-free code. The role uses PHP and React for the current project and encourages learning across frontend, backend, cloud infrastructure, databases, CI/CD, and containerization.

Build and scale high-performance iOS and Android apps with Expo/React Native. Implement native integrations, smooth UIs and animations, automated tests, performance fixes, and collaborate with backend, design, and product teams using AI-assisted workflows.

Lead and mentor network and system engineers to design, implement, and maintain OT and IT infrastructure across sites. Manage Windows servers, SQL databases, virtualization, networking, firewalls, SCADA/OT systems, security initiatives, lifecycle management, and 24x7 support while enforcing infrastructure standards and supporting automation and cloud/virtualized control systems.

Entry-level engineering development program participant supporting capital projects, operations, project management, asset integrity, reliability, and maintenance prioritization. The role includes preparing engineering documentation, reviewing drawings, supporting project lifecycles, analyzing performance data, tracking schedules and KPIs, and collaborating with engineers and stakeholders. Participants rotate through multiple organizational areas over two to three years while receiving mentorship and technical training.