Top Senior Linux Jobs in San Diego, CA

Lead automation projects for design, implementation, testing, commissioning, validation support, and closeout in a GMP-regulated manufacturing environment. Coordinate system integration, PLC and BMS/Zenon/EMS modifications and migrations, manage schedules, risks, outages, and stakeholder/vendor coordination while ensuring compliance with safety, quality, and site procedures.

Own QA strategy and release readiness for a healthcare AI platform. Responsibilities include authoring risk-based test plans, designing exhaustive functional and negative test cases, building Python-based API and UI automation, validating integrations and data, maintaining CI/CD regression suites, triaging flaky tests, and producing audit-ready verification and validation documentation for medical-device regulatory submissions. The role also champions testability and quality practices across engineering.

Leads the architecture, development, testing, integration, and verification of modular software for open mission systems. Provides technical direction, mentors software and systems engineers, supports customer engagements and demonstrations, contributes to proposals, and improves system performance, scalability, and stability. The role involves Agile software lifecycle activities, hardware/software integration, secure development practices, and up to 20% travel to customer sites and conferences in support of defense technology solutions.

Develops, implements, supports, and improves manufacturing processes, tooling, programming, and testing. Resolves production and quality issues, improves first-pass yield and efficiency, supports capital equipment projects, coordinates engineering activities, and maintains process documentation. The role interfaces with production, project engineering, customers, and internal departments while ensuring compliance with ISO procedures, ESD policies, and company quality standards in an electronics manufacturing environment.

Develop and maintain software in an agile, test-driven environment using pair programming. Lead technical decisions involving application and data model design, mentor engineers, collaborate cross-functionally with product and design, and ensure application stability and performance. Participate in on-call support and improve system reliability. Use AI developer tools to accelerate development and improve code quality.

Build and lead imaging software infrastructure spanning microscope acquisition, image processing, high-throughput ML pipelines, data visualization, quality control, and laboratory automation. Scale research prototypes into reliable systems processing millions of images daily while ensuring data integrity, lineage, reproducibility, and observability. Partner with laboratory, ML, and microscopy scientists to translate research needs into production software, own architectural decisions, document systems, and mentor engineers.

Manage and optimize large-scale database systems across AWS and SQL Server environments. Responsibilities include deploying database services, monitoring health and performance, configuring high-availability failover, managing replication and load balancing, maintaining production servers and SSIS packages, resolving performance issues, building monitoring and alerting processes, and supporting disaster recovery architecture. The role collaborates with data development, software engineering, and database administration teams to ensure reliable 24/7 operations.

Design, build, and operate a hybrid marketing web platform spanning Sitecore and modern headless technologies. Develop accessible React and Next.js front ends, Node.js APIs, GraphQL services, BFF layers, and integrations. Manage global websites, bot mitigation, CDN operations, databases, Docker environments, monitoring, performance, security, and production troubleshooting. Translate Figma designs into production code, define non-functional requirements, use AI-assisted development tools, and collaborate in Agile teams through Azure DevOps.

Build and deploy AI-driven automations, agents, integrations, and workflows for logistics clients. Conduct operational discovery, integrate with TMS, WMS, and ERP systems, tune prompts and voice or transcription models, debug production issues, and translate recurring customer needs into reusable platform capabilities. The role requires rapid software delivery, direct collaboration with nontechnical stakeholders, and travel to client engagements and the Chicago office.

Designs high-performance AI ASICs, including microarchitecture specifications, complex RTL, CPU and third-party IP integration, and low-power implementations. Collaborates with physical design and verification teams on timing, power, coverage closure, and implementation issues. Performs diagnostic and post-silicon validation and supports software bring-up in the lab. The role also contributes to specification reviews, vendor engagement, and exploration of accelerator architectures for AI workloads.