Top Senior Linux Jobs in San Diego, CA

Own and expand end-to-end QA automation frameworks across API, UI, microservices, and integration layers. Develop JavaScript-based automated tests, integrate testing into CI/CD pipelines, collaborate with Engineering, Product, DevOps, and AWS teams, investigate failures, improve quality processes, and mentor junior QA engineers. The role requires strong automation, API testing, debugging, software testing strategy, and independent ownership skills.

Designs, implements, and operates large-scale software-defined and enterprise storage platforms across private and public clouds. The role supports Kubernetes, OpenStack, Linux, hypervisors, and mission-critical infrastructure; develops IaC, GitOps, CI/CD, observability, automation, and disaster recovery solutions; troubleshoots complex systems; and participates in on-call response, incident management, documentation, and technical mentorship.

Own and evolve AWS cloud infrastructure, CloudFormation, GitLab CI/CD pipelines, Datadog observability, security controls, automation, databases, and containerized workloads. Participate in on-call, incident response, troubleshooting, postmortems, cost optimization, and reliability improvements. Collaborate with software engineers to improve platform usability and mentor the team on operational excellence while supporting SOC 2 requirements and adopting AI-assisted engineering tools.

Owns the architecture and technical direction of a cloud-based IoT connectivity and device management platform. Responsibilities include designing distributed Go services, defining microservice and cloud-native patterns, guiding Docker and Kubernetes production deployments, improving CI/CD and observability, integrating security and identity technologies, mentoring engineers, and supporting reliability, performance, and production troubleshooting. The role requires deep experience with AWS, databases, distributed systems, application security, and IoT protocols.

Build and operate full-stack production features across a TypeScript monorepo, including database schemas, migrations, APIs, React interfaces, and platform infrastructure. Develop reliable AI-powered clinical tools with evaluations, monitoring, structured outputs, human review, and safe fallbacks. Improve observability, performance, data workflows, and system maintainability while collaborating closely with clinicians and company founders in a regulated healthcare environment.

Designs and maintains scalable automated testing frameworks and end-to-end test suites using modern automation tools. Integrates testing into CI/CD pipelines, reduces test flakiness, analyzes defects and performance issues, and guides risk-based testing strategies. Partners with Engineering and Product teams to embed quality throughout development, supports observability and troubleshooting, and promotes shift-left testing and continuous quality improvement.

Own end-to-end features across a TypeScript, Next.js, React, Prisma, PostgreSQL, and AWS stack. Build and operate LLM-powered healthcare experiences, including retrieval, structured extraction, tool use, evaluations, tracing, and observability. Advance AI-assisted development practices while maintaining code quality, testing, reliability, and security for sensitive health data. Collaborate with design, clinical, and partner-facing teams, review code, and mentor engineers.

Design, build, and operate scalable Python and Spring Boot applications, APIs, microservices, and distributed backend systems. Develop cloud-native and Generative AI solutions integrating LLMs, enterprise services, and business workflows. Deploy services with AWS, Docker, Kubernetes, and CI/CD platforms while ensuring resiliency, security, observability, and high availability. Troubleshoot production systems, participate in architecture and code reviews, write automated tests, and collaborate across engineering, product, and platform teams.

Manage enterprise endpoint patching, deployment, vulnerability remediation, and configuration for Windows, macOS, and endpoint applications. Administer and optimize Intune, MECM/SCCM, WSUS, and Patch My PC; automate deployment processes; monitor compliance and endpoint health; validate patches; collaborate with Information Security on vulnerability remediation; and troubleshoot endpoint management issues.

Lead process improvement and optimization initiatives for kraft pulp and paper manufacturing. Provide technical leadership to operations, maintenance, and technical teams; apply process modeling, DOE, SPC, statistical analysis, and root cause analysis. Oversee process changes, chemical evaluations, mill trials, instrumentation validation, quality improvement, operator training, and corrective actions. Mentor junior personnel and collaborate with customers, vendors, and corporate resources to improve safety, productivity, reliability, quality, and cost performance.