Top Entry Level Linux Jobs in San Diego, CA

Operate and scale production inference systems serving live, multi-tenant traffic. Own model rollouts, observability, capacity planning, incident response, reliability, failover, and cost optimization. Partner with research and inference teams to productionize serving techniques while maintaining system performance and resilience.

Operate and scale Kong’s global multi-region SaaS platform across AWS, GCP, and Azure. Build Kubernetes infrastructure, Terraform-based automation, Helm and ArgoCD deployment workflows, CI/CD pipelines, observability systems, and highly available data layers. Improve Kong Gateway and Mesh environments, reliability, scalability, security, disaster recovery, and cost efficiency. Participate in 24/7 on-call, incident response, SLO tracking, postmortems, and operational improvement initiatives.

Designs and develops mechanical systems for home energy products across the full product lifecycle. Responsibilities include CAD design, drawings, GD&T, tolerance and structural analysis, prototyping, fixture development, manufacturing process definition, supplier management, bills of materials, engineering releases, production support, work instructions, maintenance documentation, and onsite contract manufacturing support. The role collaborates with electrical, automation, manufacturing, and cross-functional teams and requires approximately 10–20% travel.

Design and build DOSS’s core platform, including flexible data models, schema-as-code, versioned migrations, AI-assisted tooling, declarative APIs, data warehousing, observability, search, and enterprise guardrails. Scale graph-based and ETL architectures, deploy reliable cloud applications, mentor engineers, and collaborate with product and design to deliver resilient operational systems.

Software Engineers will design, develop, test, deploy, and maintain scalable software, APIs, integrations, services, and applications. Responsibilities include writing clean code, participating in architecture discussions and code reviews, building automated tests, diagnosing technical issues, contributing to CI/CD and deployment practices, and collaborating with product, design, data, QA, and architecture teams. This talent community posting considers engineers across front-end, back-end, full-stack, cloud, data, and other specialties for future opportunities.

Develop and improve autonomous truck planning and control algorithms using C++ and Python. Investigate driving issues through simulation, vehicle data, logs, and code analysis; design rigorous experiments; analyze failures and regressions; document reproducible results; and collaborate with validation and simulation engineers on testing and autonomy-stack integration.

Supports integration, testing, sustainment, and modernization of EGI and GPS receivers across naval aviation platforms. Performs systems engineering, requirements analysis, design evaluation, verification, technical documentation, test planning, and performance evaluation. Contributes to M-code GPS and assured PNT capabilities for contested and denied environments, coordinates with program offices and engineering stakeholders, and identifies integration risks and mitigation strategies. The role is fully onsite at Naval Air Station Patuxent River and requires eligibility for a Secret clearance.

Lead architecture, requirements decomposition, implementation, integration, and validation of low-voltage energy management systems for electric vehicles. Collaborate across software, hardware, data, attributes, and user experience teams; conduct trade studies, testing, issue resolution, and system delivery coordination. Develop DVP&R plans and support SIL, HIL, component, and vehicle-level validation.

Develop and maintain scalable Java backend systems using Spring Boot and microservices architecture. Collaborate with customer teams, review specifications, write clean code, participate in code reviews, document solutions, and troubleshoot and optimize backend performance, reliability, and security. The role also contributes technical expertise to training next-generation AI systems, though prior AI experience is not required.

Designs, analyzes, tests, fabricates, installs, and repairs mechanical and electromechanical systems. Responsibilities include creating layouts and schematics, performing FEA and CFD analyses, supporting testing and field installations, coordinating maintenance, preparing technical documentation and proposals, and ensuring compliance with customer, industry, government, and ISO 9000 requirements. The role also supports project budgets, schedules, construction and fabrication activities, and continuous improvement.