Top Remote Linux Jobs in San Diego, CA

Build AI development workflows, agent orchestration systems, collaborative tooling, generative creative pipelines, SDKs, and infrastructure that help teams rapidly prototype and productionize educational experiences. The role spans infrastructure, product, and creative tooling, with responsibility for autonomous agents, asynchronous workflows, multimodal asset generation, reusable engineering primitives, and technical support for a small collaborative team.

Lead the design and delivery of a core software platform area, such as data systems, cloud infrastructure, or internal and customer-facing tools. Provide technical direction, review designs and code, mentor engineers, establish scalable and reliable architecture, and manage the full development lifecycle through production. Collaborate with autonomy and robotics teams on data interfaces, uphold security and reliability standards, and support hiring and roadmap planning.

Owns end-to-end solution delivery, including stakeholder engagement, requirements gathering, architecture design, AI-native development, iteration, and production deployment. The role independently delivers moderately complex solutions, identifies system and workflow improvements, and contributes to team standards. Candidates need 2–4 years of experience in solutions, technical, product, or systems roles and a proven record of delivering AI-built solutions.

Leads two infrastructure and engineering systems squads, owning roadmap, prioritization, delivery, operational health, hiring, mentoring, and vendor budgets. Ships production code, manages on-call performance, oversees audits and automation, and partners across engineering and business functions. Requires substantial software engineering and people-management experience, hands-on production development across cloud or application technologies, strong CI/CD and observability knowledge, security awareness, and experience directing AI agents in production workflows.

Leads the Americas engineering organization, setting strategy, standards, governance, and talent development. Oversees product, application, project, manufacturing, and service engineering for engineered-to-order industrial equipment. Supports customer proposals, technical reviews, manufacturing issue resolution, field escalations, innovation, engineering automation, and continuous improvement across refining, petrochemical, chemical, LNG, and energy-transition markets.

Support mechanical engineering team in CAD modeling, FEA, tolerance analysis, and prototype validation for rack- and row-based data center infrastructure. Create manufacturing-ready drawings, support BOM and lab testing, and collaborate with cross-functional teams throughout new product development.

Leads global Microsoft 365 strategy, platform engineering, architecture, governance, reliability, security, lifecycle management, migrations, Copilot enablement, integrations, and commercial oversight. Manages distributed teams and partners while establishing product ownership, support models, enterprise controls, service performance standards, and modernization plans. Requires executive judgment, Microsoft 365 technical depth, global transformation experience, licensing expertise, and leadership in complex regulated environments.

Lead modernization and scaling of YipitData’s AWS cloud infrastructure, Kubernetes platform, Terraform ecosystem, SRE, DevOps, and developer experience. Manage a global player-coach team, establish reliability and disaster-recovery practices, improve platform adoption and engineering velocity, create sustainable 24/7 operations, and optimize cloud costs while maintaining reliability.

Inspects, examines, and tests electrical and mechanical MEP components during mission-critical construction projects. Records test results, verifies equipment condition, reviews QA/QC plans and procedures, coordinates inspection activities, and prepares reports. The role requires strong communication, organization, problem-solving, leadership, and the ability to work from a home office while traveling frequently to project sites and performing strenuous physical tasks.

Leads GAF’s Automation & Controls organization, overseeing team operations, capital planning, budgets, manufacturing systems, engineering practices, project delivery, documentation, safety, and continuous improvement. The role partners with engineering, IT, operations, vendors, and manufacturing facilities to modernize controls systems and optimize production across multiple locations. It manages direct reports and requires extensive manufacturing and automation leadership experience, with 60% travel.