Top Linux Jobs in San Diego, CA

Leads and develops a software engineering team building high-uptime sports analytics and broadcast platforms. Provides architectural direction, guides technical decisions, manages technical debt, participates in code and design reviews, and drives reliability, security, observability, and data quality. Partners with Product and cross-functional teams to prioritize work, manage delivery commitments, resolve incidents, and balance feature development with platform investment.

Design and deliver advanced aerospace vehicle systems from concept through flight. Own technical projects and subsystems, perform multidisciplinary engineering trades, define requirements and verification plans, lead prototyping and qualification, support manufacturing and suppliers, and participate in testing, mission preparation, flight operations, and post-flight analysis.

Develop software using C# and Oracle or SQL databases, including PL/SQL or T-SQL. Preferred experience includes web services, WCF, Web API, and Silverlight. The interview process includes an initial phone interview followed by an in-person interview in Miamisburg, Ohio, or Jacksonville, Florida, depending on the candidate’s location.

Leads and develops a software engineering team building high-availability sports analytics and broadcast systems. Responsibilities include people management, coaching, performance reviews, architecture, technical debt reduction, design and code reviews, reliability, observability, incident follow-through, Agile delivery, and collaboration with Product, Design, DevOps, and Architecture. The manager remains technically engaged while ensuring data accuracy, system uptime, delivery commitments, and engineering quality.

Leads Site Reliability Engineering and Corporate IT, defining enterprise technology strategy, platform reliability, infrastructure, IT services, security compliance, and FedRAMP readiness. Oversees incident management, observability, automation, cloud operations, identity, networking, vendor relationships, budgets, and distributed technical teams while partnering with executives, Engineering, Security, Product, and customers.

Build custom software and AI solutions for financial firms. Engineers work directly with client engineering teams and subject-matter experts to understand problems, design tailored systems, and ship reliable applications across varied projects. The role requires strong ownership, adaptability across domains, attention to software quality, and the ability to communicate effectively with clients.

Own the design, prototyping, testing, and validation of precision mechanical systems for automated process cells. Responsibilities include developing motion systems, fixtures, robotic handoffs, feed and clamping mechanisms, electrical test interfaces, and reliable high-cycle production equipment. The role requires rapid bench prototyping, empirical diagnostics, tolerance analysis, and close integration with electrical and software engineers. This is a fully onsite founding role in San Francisco requiring six-day workweeks.

Build and operate low-latency, reliable platform infrastructure for AI model evaluation, including APIs, AI gateways, streaming systems, serving layers, observability, authentication, rate limiting, usage metering, and audit logging. Integrate multiple LLM providers, handle failures and response normalization, support enterprise requirements, and contribute across backend evaluation and leaderboard platforms. This hands-on role requires strong Go expertise and experience with distributed systems or developer-facing infrastructure.

Leads the Data Platform and Infrastructure team, owning strategy, architecture, execution, and organizational development. Responsibilities include managing and mentoring engineers, guiding data ingestion and platform design, establishing APIs, SLAs, governance, security, monitoring, disaster recovery, and cost optimization. The role partners with Product, Data, Finance, Security, and Analytics teams to enable reporting, experimentation, machine learning, and data products while scaling reliable infrastructure and developing future technical leaders.

Build and operate backend platform capabilities including REST APIs, SDKs, agent runtimes, multi-tenant ingestion, and GPU job orchestration. Design resilient services for cloud, customer VPC, on-premises, and edge deployments. Own observability, reliability, SLOs, debugging, and on-call operations while translating AI research into production infrastructure. Senior engineers also drive architecture and engineering standards.