Top Linux Jobs in San Diego, CA

Supports the design, implementation, installation, and commissioning of automated material handling systems. Responsibilities include mechanical design, feasibility assessments, vendor collaboration, project coordination, technical support, documentation, on-site testing and training, troubleshooting, and root cause analysis. The role works across projects involving components, conveyors, robotics, and other automated machinery, with travel required for installations and customer support.

Develop and maintain Microsoft SharePoint Online and Power Platform solutions, including Power Apps, Power Automate workflows, and Power BI integrations. Responsibilities include designing SharePoint sites, lists, libraries, views, and workflows; assessing automation opportunities; supporting users; advising on development best practices; researching emerging technologies; and promoting cloud solution adoption across social service programs.

Leads and mentors application engineers while designing Java and Spring Boot microservices. Oversees application modernization, VM-to-container migration, GCP and GKE deployments, Kubernetes troubleshooting, CI/CD, testing, database integration, observability, and distributed systems. Coordinates technical dependencies across a large application portfolio and collaborates with platform, DevOps, security, and architecture teams. Uses AI-assisted engineering tools to accelerate development, modernization, testing, documentation, and automation.

Leads a 10+ person engineering organization developing AI-powered revenue cycle management products for dental practices. Sets technical vision, architectural standards, engineering processes, staffing plans, and cross-functional priorities while supporting 0-to-1 product development and platform scaling. The role requires hands-on technical credibility, experience with LLM products, cloud infrastructure, full-stack development, agile practices, hiring, mentorship, and communication with senior leadership.

Manage and supervise a small electrical engineering team to design low-power, compact data-acquisition and embedded recording hardware. Plan and run product development projects, coordinate cross-functional teams for DFM/DFT, maintain NPI and release documentation, review designs through production handoff, and support ECO processes.

Build and scale full-stack software for an AI-native cybersecurity platform. Responsibilities include developing backend services and APIs, creating frontend applications, collaborating on product features, writing tested code, participating in reviews, troubleshooting across the stack, and improving engineering processes. The role requires 3–5 years of software engineering experience and experience with backend, frontend, databases, and cloud technologies. Docker, Kubernetes, CI/CD, AI/ML, and startup experience are preferred.

Build and scale optimization and backend systems for public transportation planning and scheduling products. Own features from concept through production, improve system performance and reliability, and collaborate with designers, data scientists, algorithm researchers, product managers, transit planners, schedulers, and customers. Contribute to engineering architecture, best practices, productivity tools, and code quality while applying software engineering to optimization, geospatial computation, machine learning, and AI.

Leads end-to-end development of RF components and systems, including requirements, schematic and PCB layout, bring-up, measurement, production, testing, and system integration. Automates RF measurement and data processing, supports new product introduction and design-for-manufacturing, debugs complex electrical systems, and mentors engineers. The role requires expertise in RF fundamentals, link budgets, analog/mixed-signal design, wideband architectures, and antenna and receiver design, with onsite work in El Segundo and eligibility for a security clearance.

Maintain and improve product reliability, performance, uptime, and scalability. Build monitoring dashboards, alerts, runbooks, deployment tooling, and scalable architecture solutions. Troubleshoot issues across the technology stack, collaborate with application engineering teams, support cloud and containerized systems, and participate in on-call coverage.

Design, scale, and maintain robust software systems for AI-powered physical machines. Define coding standards and technology choices, work across the stack, collaborate on novel technical challenges, and mentor new hires. The role may involve AI/ML, hardware integration, systems programming, networking, Linux, and high-performance computing in a fast-paced startup environment.