Top Linux Jobs in San Diego, CA

Owns and improves hybrid infrastructure across VMware, Windows, Linux, Azure, identity, patching, backups, disaster recovery, and security remediation. The role automates provisioning and maintenance with PowerShell, Bash, and Python; supports regulated IT controls, audit readiness, Microsoft 365, managed file transfer, and network infrastructure. This senior individual contributor also participates in on-call support, BCP/DR exercises, vulnerability remediation, and infrastructure modernization.

Own the architecture and technical roadmap for Uber’s Michelangelo ML control plane. Design and scale APIs, Kubernetes-native resource models, reconciliation and storage layers using etcd and MySQL. Lead reliability, disaster recovery, multi-cluster and multi-region operations, observability, performance optimization, and safe upgrades. Mentor engineers, establish technical standards, review designs and code, reduce technical debt, and guide large-scale platform initiatives across global ML, infrastructure, product, and operations teams.

Build and lead full-stack applications using React, Node.js, and REST services. Design APIs and databases, optimize frontend performance, uphold testing and CI/CD practices, and improve observability, scalability, security, and maintainability. Collaborate with product, design, data science, medical, and security teams. Mentor engineers, document technical decisions, and advance secure AI-assisted development workflows.

Provides instrumentation and electrical reliability engineering support for a chemical production facility. Responsibilities include troubleshooting equipment failures, root cause analysis, maintenance and reliability programs, process hazard analyses, capital project support, MOC approvals, preventive maintenance reviews, vendor evaluation, and technician guidance. Supports equipment up to 480V, including instruments, analyzers, motors, MCCs, VFDs, wiring, power panels, and burners. Participates in turnarounds, startups, and non-routine maintenance activities.

Build and operate infrastructure for evaluating coding agents and language models. Own end-to-end features across data models, APIs, background workers, and user interfaces; run sandboxed agent trials; develop scoring and task-quality systems; integrate models and benchmarks; optimize performance, concurrency, migrations, and reliability; and review code. The role requires independent ownership of production backend systems and hands-on LLM evaluation experience.

Develop cloud security platform and product services using Golang and Python in a high-traffic environment. Own features from requirements through release, build modular infrastructure, integrate components, solve technical challenges, and collaborate with cloud, product, data science, and DevOps teams. The role also involves designing threat detection solutions, working with distributed systems and NoSQL databases, mentoring junior engineers, and promoting engineering best practices.

Build and operate AI worker products across customer experiences, agent workflows, integrations, and distributed systems. Lead complex initiatives from customer discovery through production, improve agent performance and reliability, shape model and infrastructure strategy, and mentor engineers. The role requires strong product engineering, systems thinking, technical communication, and hands-on expertise with TypeScript, React, Node.js, PostgreSQL, AWS, and Kubernetes. This is an onsite role in New York City five days per week.

Performs CFD simulations and multiphase hydrodynamic analyses for marine engines, propulsion systems, drives, and vessels. Collaborates with design and test engineers on trade studies, instrumentation, validation, and product improvements. Coordinates work across onsite and offshore teams, documents findings, presents recommendations, and develops improved analysis methods. Requires mechanical engineering fundamentals in fluid mechanics, thermodynamics, heat transfer, numerical methods, and at least two years of commercial CFD software experience.

Designs and maintains automated API, UI, integration, security, and performance tests for AI-powered systems. Validates REST/GraphQL services, data pipelines, distributed integrations, AI-generated outputs, scalability, security, and end-to-end workflows. Integrates testing into CI/CD pipelines, uses AI-assisted testing tools, identifies defects and root causes, and collaborates with Engineering, QA, Product, and Operations in an Agile environment.

Designs and verifies analog and mixed-signal circuits for AI hardware, from SPICE simulations through top-level algorithm modeling in Python and SystemVerilog. Owns interface specifications, cross-functional co-verification, calibration and test algorithms, and chip-level concerns including EM/IR, ESD, and power distribution. Relevant work includes ADC/DAC, PLL, SERDES, sensing, digital controllers, and high-reliability or automotive systems.