Top Senior Linux Jobs in San Diego, CA

Lead AI&T for spacecraft return vehicles: own integration and test strategy, lead engineers and technicians, develop and execute environmental and functional test campaigns, drive anomaly resolution, coordinate cross-discipline issues, maintain test documentation, and support flight readiness.

Lead and grow Engineering and DevOps as a hands-on VP: own roadmap and SDLC, set engineering standards, act as technical architect for APIs and database modernization, manage CI/CD and cloud infrastructure, drive security/SOC 2 readiness, recruit and mentor teams, and coordinate cross-functional delivery.

Lead production operations and incident management for customer-facing applications. Coordinate releases, drive P1/P2 incident response and RCAs, execute DR exercises, manage capacity and CMDB, support cloud platform operations (Kubernetes, Kafka, GCP/HCP), and lead automation and reliability improvements with engineering and vendor partners.

Lead large engineering teams to design, build, and deploy enterprise-scale software and AI-powered solutions; drive architecture, DevSecOps/CI-CD, cloud-native patterns, responsible AI, and stakeholder collaboration to improve healthcare delivery.

Design, build, and maintain scalable, reliable full‑stack systems. Contribute to API and architecture design, write testable code, debug complex issues, improve performance, automate deployments, and mentor junior engineers while collaborating with cross‑functional teams.

Design and deliver scalable, secure, and maintainable software systems. Contribute to architecture, build CI/CD pipelines, design distributed systems and APIs, mentor engineers, collaborate with product and design, and improve observability, performance, and operational reliability across teams.

Lead a small team (2-4) as a hands-on engineering manager, owning sprint delivery, team health, performance management, and incident response. Contribute to a TypeScript codebase, partner with Product and Design, uphold operational and compliance standards for money-touching products, and champion AI-forward automation, IaC, CI/CD, and observability to ship reliable software.

The role requires designing, building, and operating a secure OpenStack private cloud environment, focusing on Infrastructure as Code and automation to support scalable engineering workloads.

Lead design and build of scalable backend systems and data platforms; own architecture and production deployments; improve reliability, performance, and observability; mentor engineers and collaborate with Product, Data Science, SRE, and Security.

Lead architecture and engineering for global endpoint fleet across Windows and macOS. Design UEM infrastructure, automate provisioning (Autopilot, ABM), build scripts and API integrations, enforce security baselines (BitLocker, FileVault, EDR), integrate with identity providers, act as Tier 3/4 escalation, and mentor junior staff while driving roadmap and documentation.

Design and implement Android features from design through launch, optimize mobile UX and performance, perform code reviews, evaluate technical tradeoffs, and use AI tools to streamline development while maintaining security and production-quality code.

Design Engineer will rapidly prototype and iterate mobile products (primarily iOS), build tooling and internal systems, collaborate with designers, PMs, and engineers to drive product strategy, test with researchers, and ship polished experiences to hundreds of millions of users. Role involves presenting work to leadership and occasionally prototyping on web, AR, and AI platforms.

As a Software Engineer in Test, you'll build Python frameworks and C++ hooks to verify system correctness, accelerate CI/CD, and manage performance testing across equities.

The Senior Platform Infrastructure Engineer will design, develop, and maintain infrastructure software, collaborate with teams, and troubleshoot issues across trading systems.

Ensure stability and resilience of Runpod's distributed AI platform by defining SLIs/SLOs, leading incident response, building observability and reliability tooling, automating operational workflows, and partnering with engineering teams to reduce toil and improve production readiness.