Top Linux Jobs in San Diego, CA

Design and deliver scalable, secure features using AI-assisted tools; write maintainable code and automated tests; ensure performance and observability; mentor junior engineers; collaborate in Agile teams and contribute to architectural decisions and modernization efforts.

Provide executive technical leadership to shape technical strategy and architecture across multiple businesses; act as final decision-maker on cross‑org architecture, partner with CTO, align engineering execution with business priorities, remove ambiguity, and raise technical decision quality.

Provide sustaining and project mechanical engineering support for theme park rides and shows: troubleshoot downtime, re-engineer mechanical/structural/hydraulic/pneumatic systems, manage vendor work, develop specifications and test procedures, maintain documentation, mentor junior engineers, and support installations and acceptance testing.

The role involves developing architectural strategies for NBCUniversal's digital advertising ecosystem, enhancing workflows, and leading cross-functional teams to implement ad features.

Lead design, build, and maintain scalable cloud-native infrastructure (AWS/GCP) using IaC (Terraform/Crossplane), container orchestration (Kubernetes), CI/CD (GitHub Actions/ArgoCD), observability, security best practices, on-call support, and mentor engineers.

The Software Engineer will develop and maintain backend services in Go for pricing algorithms, optimize SQL queries, and build web applications using React and TypeScript.

Lead design, implement, and test real-time embedded systems software for radar/sonar/electronic warfare signal processing. Collaborate with engineers and partners, support experiments and field testing, and potentially travel for customer meetings and data collections.

Develop and demonstrate signal processing and ML algorithms for radar and RF sensing/counter-sensing. Design models and simulations, integrate countermeasures, analyze test data, and evaluate systems in labs, over-the-air, and on government test ranges.

Design, develop, and test C++ software for complex radar systems, focusing on mission-critical applications and implementing development best practices.

Lead Monitoring & Operations Software Engineer responsible for designing and implementing monitoring, alerting, and automation to improve reliability. Lead multiple projects, mentor junior engineers, create runbooks/alarms, develop automation and tests, participate in on-call rotations, and document designs to support microservices and enterprise applications.

Oversee edge device management, automate deployment processes, and maintain infrastructure while collaborating with cross-functional teams and mentoring engineers.

Design and oversee implementation of Cohere Health solutions for Medicaid health plans. Translate customer needs into technical and functional requirements, partner with engineers and product teams, support pre-sales and implementation, maintain solution documentation, and ensure compliant, scalable prior authorization and interoperability solutions.

Design, build, and scale the data platform powering large-scale simulations: implement storage and management solutions, backups and recovery, optimize data processing pipelines, improve performance and reliability, and collaborate on cloud infrastructure and deployments.

The role involves supporting and diagnosing problems in a real-time environment, managing large-scale application deployments, and collaborating with teams to solve technical challenges.

The Site Reliability Engineer will support real-time systems, perform capacity planning, manage application migrations, and troubleshoot in a collaborative environment.

Build and ship client-facing frontend and backend features supporting scheduling, notifications, authentication, and post-booking flows. Implement A/B tests and experiments, own activation flows, perform defensive UI work, support debugging and triage, write maintainable production code, and collaborate with Product, Design, and Support to deliver scoped improvements.

Own and improve core marketplace systems end-to-end: backend services, data inputs, and experimentation infrastructure. Increase reliability, performance, observability, and personalization (matching, search, recommendations). Collaborate with Product and Data Science, diagnose data quality and performance issues, and enable robust A/B testing to optimize marketplace outcomes.