Top Senior Linux Jobs in San Diego, CA

Leads and develops engineering teams while remaining hands-on in production coding, architecture, design reviews, and technical decisions. Establishes engineering standards, owns system architecture, manages technical debt, partners with Product and Operations, and advances AI-native development practices through agent deployment and evaluation frameworks. The role also supports hiring, engineering culture, roadmap prioritization, and the delivery of healthcare technology systems.

Designs, integrates, configures, and sustains resilient network architectures for mobile DoD platforms, tactical communications, and unmanned systems. Responsibilities include mesh and MANET networking, routing and switching, tactical radio and RF integration, network diagnostics, cybersecurity controls, documentation, automation, and field testing. The role supports aerial, maritime, and ground autonomous platforms in contested and bandwidth-limited environments.

Plans, designs, evaluates, acquires, implements, and maintains Mercy’s voice and data network infrastructure. Ensures network availability, performance, security, and integrity while supporting existing systems and deploying new services. Performs cost analysis, vendor comparisons, troubleshooting, and solution development based on business requirements. The role is on-site at Mercy Fort Smith Hospital and Clinics.

Build and operate full-stack software for legal case analysis, including interfaces, data models, document-processing workflows, retrieval and LLM-powered features. Design systems that connect claims to evidence, preserve competing interpretations, evaluate AI outputs, incorporate attorney corrections, and protect case-sensitive information. Own major features from design through launch, make architectural tradeoffs, review code, and guide technical decisions while collaborating with lawyers, founders, and engineers.

Leads the architecture, implementation, security, and strategic direction of enterprise network infrastructure supporting DoD requirements. Solves complex networking and cybersecurity challenges, manages large-scale projects, resources, budgets, and timelines, and advises senior leadership and government stakeholders. Responsibilities include Cisco network administration, virtualization, Windows and Linux systems, vulnerability management, incident response, compliance, backup and recovery, documentation, automation, and technical mentoring.

Designs, improves, and oversees manufacturing processes, equipment, workflows, facility layouts, quality controls, production costs, and maintenance activities. Analyzes production data and requirements, develops work instructions, ensures regulatory compliance, and recommends improvements to optimize safety, efficiency, quality, and profitability.

Build AI platform infrastructure and developer tooling, including API gateways, model routing, integrations, observability, retrieval, caching, and model-serving systems. Develop APIs, microservices, SDKs, and internal tools that connect proprietary real estate data and AI models to production applications. Collaborate with ML engineers, contribute to architecture decisions, and own features through deployment and monitoring.

Evaluate border security and mission technologies, plan and execute technical demonstrations and field tests, translate operational needs into technical requirements, and develop engineering, acquisition, test, and program documentation. The role supports DHS CBP stakeholders by assessing emerging systems, analyzing performance data, preparing technical reports and decision briefings, and coordinating technical issues across engineering and operational teams.

Develop and own embedded vehicle-control software for autonomous and unmanned ground vehicles. Responsibilities include architecture, C/C++ development on microcontrollers and RTOS, peripheral integration, task scheduling, diagnostics, automated testing, CI/CD, platform bring-up, debugging, safety mechanisms, and autonomy-system interfaces. The role also leads design reviews, supports field deployment, and mentors engineers while helping transition robotic platforms from prototypes to production.

Develop and maintain Python-based blockchain components, smart contracts, APIs, microservices, credentialing systems, and node infrastructure for an educational platform. Integrate with LMS platforms, manage wallets and keys, support CI/CD, document the system, train staff, and ensure FERPA/GDPR-compliant data handling.