Top Linux Jobs in San Diego, CA

Administer and optimize centralized MSP platforms, including RMM, PSA, backup, endpoint protection, and patch management systems. Standardize configurations and workflows across clients, develop scripts and automation, monitor platform performance, troubleshoot complex tooling issues, maintain documentation, and implement scalable improvements that enhance service delivery and operational efficiency.

Supports process and pressure safety engineering for chemical manufacturing operations. Designs, evaluates, and revalidates emergency relief systems, including pressure safety valves, rupture disks, and venting systems. Participates in management of change, process hazard analyses, turnarounds, HSE initiatives, and business unit support. Applies chemical engineering, fluid flow, two-phase flow, PHA/HAZOP, and industry code knowledge to resolve pressure safety concerns and improve production workflows.

Build and operate secure, scalable cloud platforms, automation, infrastructure-as-code, CI/CD pipelines, observability, and developer self-service capabilities. Support AI, machine learning, data, and generative AI workloads through deployment automation, monitoring, governance, and lifecycle tooling. Partner with engineering, security, infrastructure, and data teams to improve reliability, developer experience, compliance, and operational readiness while mentoring engineers and contributing to technical design decisions.

Designs embedded, analog, digital, and electromechanical systems, including circuit designs, software, test fixtures, and LabVIEW solutions. Leads design reviews, project execution, failure analysis, test development, component selection, proposals, and CAD/CAE efforts. Collaborates with customers, suppliers, purchasing, production, and quality teams while supporting manufacturing and ensuring compliance with engineering and documentation requirements.

Staff and Principal Software Engineers will own large technical domains end to end, making architecture decisions, building scalable backend systems, improving reliability and performance, and collaborating with product, leadership, and customers. Responsibilities include mentoring engineers, driving cross-team technical decisions, and shipping production solutions. Potential areas include AI telemetry, billing ingestion, cloud data infrastructure, integrations, identity, cost optimization, and customer-facing applications.

Develop and maintain AI-assisted automated testing frameworks across web, mobile, backend, API, data, and AI applications. Use AI tools to generate tests, analyze code, debug failures, improve coverage, and validate model outputs. Build testing strategies for LLM, RAG, agentic, and generative AI workflows, including hallucination, bias, safety, and accuracy evaluations. Integrate testing into CI/CD pipelines, establish quality gates, collaborate across engineering and product teams, and promote quality, security, observability, and testability practices.

Design, develop, and maintain diesel engine products, systems, components and accessories. Produce detailed layouts and schematics, coordinate prototype manufacturing, define and run tests, analyze results, and resolve design or manufacturing issues.

Designs, deploys, supports, and improves infrastructure for studio, post-production, creative, and enterprise clients. Responsibilities include administering Windows, macOS, and Linux; troubleshooting networks, storage, servers, endpoints, and applications; managing identity, virtualization, backup, disaster recovery, monitoring, patching, and security hardening; documenting environments; and communicating with clients during incidents. The role requires onsite support across Greater Los Angeles and experience managing multiple client environments, preferably in an MSP or media production setting.

Assist in developing and maintaining cross-platform Flutter apps for Android and iOS, implement UI/UX with Flutter widgets, integrate Firebase and REST APIs, debug and optimize performance, and collaborate with the team while staying current with Flutter/Dart technologies.

Leads the quality engineering team, establishing QA strategies, standards, processes, and testing practices for Mad Mobile’s software platform. Oversees test plans, automated testing, QA metrics, defect tracking, and software quality initiatives. Applies AI technologies such as predictive analytics and anomaly detection to improve testing efficiency and accuracy. Partners with development, product, and customer support teams while mentoring QA staff and ensuring compliance with industry best practices.