Top Senior Linux Jobs in San Diego, CA

The Senior Software Engineer will build and operate systems for Vanta's FedRAMP environments, focusing on reliability, compliance, and incident response, while collaborating with product teams and improving operational readiness.

Lead implementation, commissioning, and validation of industrial automation platforms for manufacturing expansions. Serve as site SME for PLCs, DCS, robotics, vision, SCADA, data historians, MES/ERP integration, and industrial networks. Manage projects, vendor coordination, regulatory compliance (FDA/OSHA), specification generation (URS/FRS), risk and safety assessments, and train local technical staff to support ongoing operations.

Lead full-cycle projects impacting millions and collaborate with product and UX teams to define requirements and execute development plans.

Develop and manage operations for a new chemical plant, ensuring safety and efficiency during construction and operation, while leading a team of engineers and operators.

The role involves developing and maintaining ETL processes using DataStage, troubleshooting production jobs, and ensuring adherence to best practices.

The Senior Backend Engineer develops core product features in ETL and GraphQL, designs APIs, builds ETL pipelines, and collaborates with frontend teams.

Serve as the functional lead designing global Salesforce CPQ solutions and end-to-end quote-to-cash processes. Translate epics to user stories, govern product catalog and pricing models, oversee CRM/billing/revenue recognition integrations, establish product/pricing governance and approval workflows, and provide production support across distributed agile teams.

The Senior Software Engineer will lead design for large cloud platform projects, troubleshoot system issues, and mentor engineers, focusing on scalability and reliability.

The Senior Software Engineer will develop and implement navigation and motion planning systems for humanoid robots, focusing on 3D motion algorithms and collaboration with AI teams. Responsibilities include designing navigation stacks, testing systems, and optimizing locomotion capabilities for autonomous operations.

Lead and oversee the development and operations of AI infrastructure orchestration, focusing on team management, strategic vision, and technology integration.