Top Tech Jobs & Startup Jobs in Los Angeles, CA

Leads technical direction and multi-year strategy for Netflix’s Application Networking organization. Partners with engineering leads to shape architecture for globally scaled distributed systems, service-to-service communication, external traffic, identity, security, and access enforcement. The role addresses complex, ambiguous technical challenges, influences stakeholders across business units, contributes to open-source or industry standards, develops senior engineers, and communicates with engineering, product, and executive audiences.

Lead the strategic direction and evolution of Netflix’s company-wide Experimentation Platform. Establish rigorous causal inference and experimentation standards, automate trust and validation practices, consolidate fragmented systems, shape platform product roadmaps, and collaborate with data science and engineering leaders. Translate experimentation needs into scalable tools, influence adoption across teams, mentor colleagues, and ensure reliable experiment allocation, measurement, analysis, and reporting.

Develop long-range capacity forecasts and translate demand signals (bandwidth, storage, network) into actionable capacity plans. Run scenario and what-if analyses, monitor infrastructure performance, coordinate deployments, build modeling and automation tools, manage capacity risks, and collaborate cross-functionally to inform investment and scaling decisions for Open Connect Studio Infrastructure.

Build full-stack features and infrastructure analytics products to improve Netflix's cloud and AI efficiency. Design frontends (React/TypeScript), backend services/APIs (GraphQL/Node), shape data models, collaborate with analytics and data engineers, and own product direction from design through implementation.

Lead design and implementation of scalable data models and analytical tooling for Consumer Product. Partner cross-functionally to translate business needs into reliable SQL/Python data products, dashboards, and automated pipelines using engineering best practices (CI/CD, testing, version control, monitoring). Drive data-informed strategy and manage long-term infrastructure while supporting ad hoc requests.

Lead product strategy and roadmaps for games social platform features (multiplayer, sharing, chat). Drive end-to-end execution for backend systems and partner tooling, align cross-functional stakeholders, use experimentation and UX feedback to iterate, and partner with Trust & Safety, Legal, and Support to ensure a high-quality, trusted social experience.

Lead product strategy and execution for cloud gaming infrastructure, driving roadmaps, end-to-end projects, and infrastructure innovations. Optimize cloud compute, streaming performance, latency, storage, and developer tools to deliver high-quality game streaming. Collaborate cross-functionally, translate performance data into features, and improve developer workflows to enable scalable, performant game streaming experiences.

Lead product for Data Developer and Analytics Experiences, defining strategy, roadmaps, and delivery for SQL/Python authoring, semantic layer, developer tooling, visualization, governance, and GenAI integrations to improve productivity and reuse across Netflix analytics.

Build and maintain performant, accessible consumer-facing experiences for Netflix’s iOS app using Swift and GraphQL. Collaborate with product managers, designers, and engineers to scope projects, refine interfaces, develop shared infrastructure, and make architectural trade-offs. Teams may focus on client foundations, server-driven UI, advertising frameworks, or ad insertion. Responsibilities include writing robust maintainable code, automation, documentation, and supporting high-quality, scalable mobile experiences.

Build and ship Android features and foundational infrastructure for Netflix’s global app. Responsibilities include designing maintainable, testable code; developing shared frameworks and tooling; partnering with product, design, and engineering teams; modernizing Android practices; using automated testing; scoping projects and making technical trade-offs; and applying GenAI tools to improve development workflows.