Top Linux Jobs in San Diego, CA

Leads the end-to-end content and data pipeline platform, covering ingestion, transformation, enrichment, metadata, rights-aware delivery, reliability, observability, and production operations. Manages and coaches engineers while remaining hands-on with architecture and code. Owns technical direction, roadmap, delivery commitments, vendor and licensing relationships, stakeholder alignment, incident response, and engineering quality standards for scholarly content delivered to AI/RAG systems and external customers.

Administers and improves on-premises and cloud infrastructure across corporate, research, laboratory, manufacturing, and regulated environments. Leads infrastructure designs, migrations, upgrades, deployments, patching, monitoring, vulnerability remediation, backup and disaster recovery activities. Troubleshoots complex systems issues, develops automation, maintains technical documentation, coordinates vendors, and partners with security, quality, application, and business teams to deliver reliable, compliant infrastructure solutions.

Design, build, deploy, and support production-grade integrations between the Blue Machines platform and client systems. Develop API, cloud, and AI/LLM integrations; collaborate with clients on deployment, debugging, and optimization; and automate, document, and monitor workflows. The role requires Python or Java backend experience, cloud expertise, web technologies, authentication protocols, AI/LLM familiarity, and strong problem-solving and communication skills.

Build secure, compliant embedded-finance platform products, primarily in Java. Develop scalable, performant, maintainable software; write robust unit and integration tests; understand customer needs; document solutions; and collaborate across company domains. The role also requires applying AI-powered development tools throughout the software lifecycle and may involve cloud, containerization, data, payment-platform, and AI-agent technologies.

Leads product development projects from design through production, coordinating customer requirements, tooling, molds, machinery, packaging, schedules, budgets, quality, and manufacturing readiness. Creates project plans and Gantt charts, resolves technical and scheduling issues, facilitates cross-functional collaboration, manages customer concerns, analyzes project data, and ensures compliance with health, safety, and legal requirements. The role partners with customers, sales, design, operations, suppliers, and vendors to deliver products successfully.

Provides administration, technical leadership, troubleshooting, planning, and lifecycle management for enterprise network and telecommunications infrastructure. Configures and upgrades routers, firewalls, switches, access points, cabling, and related systems across company sites. Leads infrastructure projects, vendor coordination, capacity planning, disaster recovery, documentation, and change management. Serves as a network subject matter expert, mentors staff, and supports cloud and virtualization environments.

Maintain and enhance process control applications for assigned units, develop and tune control strategies, support DCS/PLC/SIS design and maintenance, participate in PHA/LOPA and incident investigations, train operators, and support projects and alarm management to meet production, quality, safety, and energy goals.

Industrial Engineering Intern supporting engineering projects, process and data analysis, time studies, process mapping, cost-benefit evaluations, logistics reporting, facility layout, and continuous improvement initiatives. The role collaborates with operations and cross-functional teams to improve productivity, quality, costs, and process standards while gaining hands-on manufacturing engineering experience.

Lead CFD and engineering analysis for complex customer engagements. Define simulation strategies, make modeling and validation decisions, execute large-scale CFD campaigns, automate workflows, and build high-quality datasets. Partner with AI/ML, data, platform, product, and engineering teams to develop and deploy Physics AI models into customer workflows. Test platform capabilities, create reusable tools, and travel to customer sites for deployment, training, and technical reviews.

Oversee automotive engineering projects from proposal through completion, including planning schedules, budgets, staffing, tooling processes, design approvals, build integration, customer communication, reporting, and issue resolution. Coordinate project personnel, provide technical guidance, adjust plans as needed, and improve quality, delivery, cost, and safety. Travel nationally and internationally for service and installation.