Top Linux Jobs in San Diego, CA

Responsible for avionics systems engineering across spacecraft design, integration, testing, launch, and operations. Defines system architectures, interfaces, requirements, budgets, fault tolerance, verification plans, and autonomous behaviors. Supports vehicle health monitoring, troubleshooting, risk assessment, configuration management, reliability improvements, and production process development. Collaborates cross-functionally, mentors engineers, and travels up to 10% to launch sites and test facilities.

Leads end-to-end technical business operations for T-Fiber hardware, technology, and service launches. Owns program schedules, decision forums, escalations, partner readiness, demand planning, procurement, logistics, and market launches. Evaluates broadband technology roadmaps and makes recommendations across fiber, Wi-Fi, embedded AI, and network platforms. Coordinates internal teams, suppliers, and fiber partners while presenting strategy, status, and risks to executives.

Leads the strategy, architecture, and operations of Zscaler’s global observability platform and telemetry pipelines. The role oversees petabyte-scale ingestion, platform modernization, reliability, SLOs, incident response, cost optimization, and automation. It also requires leading a distributed engineering organization, partnering with product, security, SRE, and support teams, and aligning telemetry capabilities with business outcomes.

Build, operate, and support cloud resources for sports trading and core systems. Partner with product delivery teams and the central cloud platform team to deliver self-service automation, apply cloud standards, support stakeholders, and promote modern engineering practices. Responsibilities include end-to-end cloud resource delivery, public cloud adoption, infrastructure automation, platform operations, and continuous improvement across critical software products.

Analyzes customer complaints, field failures, and product performance trends to identify root causes and drive corrective actions. Coordinates cross-functional quality initiatives, supplier 8D responses, design reviews, CAPA processes, engineering changes, and product health reporting. Tracks consumer sentiment, leads issue-review meetings, maintains accountability, and presents recommendations to leadership. Supports continuous improvement and ensures products meet quality and customer experience expectations.

Perform manual exploratory testing and build/maintain automated test suites (Playwright/Selenium). Integrate tests into CI/CD, collaborate with product and engineering on acceptance criteria, investigate and track defects, and advocate shift-left testing and continuous quality improvements.

Own the frontend architecture for realtor.com’s Authentication & Identity platform across React and Next.js surfaces. Lead auth convergence, shared libraries, Auth0 and GraphQL integrations, passkeys, OAuth/OIDC, token and session management, reliability, observability, and high-risk migrations. Partner cross-functionally, mentor engineers, write architecture documentation, and govern AI-assisted development with strong security and maintainability standards.

Build full-stack platform components and product features for provider engagement, including profile services, scoring pipelines, recommendation APIs, personalization, and ML integrations. Own features from database through frontend and production, write tested and observable code, contribute to architecture and engineering practices, collaborate cross-functionally, and mentor junior engineers.

Develop and support ECAD tools, automation, methodologies, and libraries for advanced 2.5D and 3D package designs. Coordinate with internal teams and ECAD vendors, improve layout efficiency, support signal and power delivery analysis, develop CAD libraries, and provide tool-use support. The role also includes custom tool deployment, product support, regression testing, documentation, and training for large-scale SoC design environments.

Build and operate data platform infrastructure supporting analytics, machine learning, and AI systems. Responsibilities include developing Lakehouse and Spark systems, improving performance and reliability, implementing data quality, governance, lineage, metadata, security, and access controls, evaluating query and OLAP technologies, enhancing observability and deployment processes, supporting incident response, collaborating with data teams, contributing to open-source projects, and mentoring engineers.