Top Linux Jobs in San Diego, CA

Develop and support Microsoft Dynamics 365 Finance and Operations solutions, customizations, integrations, and Azure-based applications. Collaborate with cross-functional teams to analyze requirements, design scalable software, integrate data pipelines, test and debug applications, document solutions, maintain platforms, and support upgrades. The role also involves managing project requirements and risks, staying current with Microsoft technologies, and mentoring team members.

Owns and advances PVD and PECVD thin-film deposition processes for space-based solar technologies. Responsibilities include process development, optimization, troubleshooting, equipment maintenance and modification, DOE execution, recipe and control development, data analysis, documentation, and production transition. The role requires hands-on work with deposition equipment, vacuum systems, gas delivery, power supplies, targets, chambers, and related manufacturing systems.

Lead and manage a manufacturing engineering team across two facilities to design, implement, and optimize production processes. Drive lean/DFMA initiatives, capacity modeling, continuous improvement, and production support to improve quality, throughput, and cost. Coordinate cross-functional integration of new products, mentor staff, support hiring and performance management, and maintain safety and operational standards.

Designs and maintains scalable AWS infrastructure, Kubernetes environments, Terraform-based IaC, and CI/CD pipelines. Integrates MLOps and DevSecOps practices, automates deployment and system administration, monitors performance and cost, supports incident response, and collaborates with engineering teams to improve platform architecture and reliability.

Designs, develops, tests, and maintains scalable cloud backend software, databases, APIs, SDK integrations, and middleware interfaces. Troubleshoots complex technical issues, improves testing and validation, supports cloud infrastructure and performance optimization, evaluates technologies and vendors, and provides technical leadership. Collaborates with software, firmware, development, leadership, and cross-functional teams to deliver reliable solutions aligned with product and business goals.

Engineering interns join a multidisciplinary rapid prototyping team developing and assessing hardware, software, and AI solutions to nationally significant problems. Responsibilities span design, development, testing, and experimentation, including maritime autonomy and machine learning data-collection systems. Candidates should demonstrate strong Python programming, hands-on building experience, curiosity, initiative, communication skills, and interest in hardware/software projects. Raspberry Pi experience is required; machine learning deployment and Docker experience are preferred.

Develop and maintain Modal’s technical documentation architecture, content standards, style guides, and automated quality-enforcement pipelines. Collaborate with product and engineering teams to produce accurate developer content, validate code examples and prose, and innovate documentation formats and delivery channels for improved agent productivity. The role requires engineering or developer relations experience, strong technical writing or editing skills, familiarity with agentic engineering workflows, and comfort with version control, CI/CD, and testing.

Performs traffic data collection and analysis, intersection and corridor studies, safety and multimodal evaluations, traffic simulation and modeling, and traffic engineering design. Develops plans for signing, pavement markings, temporary traffic control, traffic signals, and roadway lighting while collaborating with engineers, designers, technicians, and public-sector clients.

Leads the global software engineering organization, setting engineering strategy, overseeing delivery, architecture, modernization, DevOps, AI-enabled development, quality, security, and reliability. Builds high-performing engineering teams, manages budgets and resources, develops leaders, and partners with Product, Design, Customer Success, and executive leadership to deliver scalable SaaS products and unified data capabilities.

Performs manual, regression, API, and data validation testing; creates test cases and documentation; analyzes requirements and defects; validates SQL and APIs; and contributes to automation, scripting, and test framework improvements. Collaborates with developers, analysts, product owners, and stakeholders to identify quality risks, clarify requirements, and deliver reliable software.