Top Senior Linux Jobs in San Diego, CA

The role involves architecting and designing edge compute solutions, providing technical expertise on server hardware, and supporting system integration in challenging environments.

Lead Life360's Data Engineering organization and own end-to-end data platform and analytics engineering strategy. Define architecture for ingestion, transformation, modeling, and serving data for humans and LLMs. Manage engineering managers and teams, drive self-serve data capabilities, cost management, vendor decisions, data quality/governance, and partner cross-functionally to prioritize engineering work that drives business impact.

The Automation Engineer manages the administration of automation systems, including SCADA and PLCs, ensuring compliance and system integrity through collaboration and validation processes.

The role involves diagnosing Windows Server issues, developing PowerShell automation, managing infrastructure projects, and coaching junior engineers.

Design and operate identity and access for AI agents, build governance and review processes for connectors, maintain centralized agent registry and telemetry, control AI license/cost governance, automate IT operations, and collaborate across IT, Engineering, Security, and Finance.

The Senior Software Quality Assurance Engineer leads testing efforts, controls test environments, creates automated tests, and resolves complex software issues, ensuring high product quality.

The Senior Web Engineer will lead the development of the marketing website, optimizing architecture, performance, and CI/CD processes, working closely with design and product teams.

Build and scale signal-driven GTM systems: design automation and AI workflows for account identification, enrichment, scoring, segmentation, and orchestration to drive outbound, ABM, and revenue generation. Partner with Marketing, Sales, and Success to run experiments, implement agent-assisted automation, and measure outcomes.

The Senior Systems Engineer will facilitate cross-functional engineering efforts, support system design, and collaborate with Japan's team for autonomous vehicle projects. Responsibilities include technical requirements analysis, testing, and continuous improvement initiatives.

Lead the IT department, driving AI adoption and technology strategy. Ensure IT operations, security, and infrastructure support drug discovery. Build high-performing teams and partnerships across the organization.