Jobs at Netflix

• Design / architect, develop, test, deploy, and operate fully integrated solutions across build/buy that provide seamless end-to-end product experiences.
• Influence broad AI strategy and vision for internal enterprise applications.

• Serve as subject matter expert on clean room integrations (Snowflake, AWS, InfoSum) and API integrations (Planning APIs, Audience Onboarding APIs, Conversion APIs, JSON pixels) that support customer data ingestion and Netflix data extraction.
• Lead technical integration discovery and requirements gathering with clients and agencies to al...

• Partner with Applied Research and backend application teams to understand their needs and gather and iterate on the platform's requirements.
• Drive the architecture, design, build vs. buy evaluation, and execution of the online serving and inference platform. Strive for extensibility and ensure the platform can scale to meet the needs of the evolving AI landscape.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality.

• You'll own major, multi-quarter initiatives that make other engineers faster and more confident. Today, that work falls into four themes:
• Architecture. Product teams duplicate effort and step on each other. You'll help build coherent, reusable architecture, including server-driven UI, a data-centric approach to app development, modularization, and unidirectional state flow, so teams can move independently at scale.

• Partner with player engineers early in feature development to own the end-to-end and functional test strategy for new features: which member scenarios need coverage, which tests should gate a merge or release, and what test streams, data, and upstream support those scenarios depend on.
• Own performance testing: build automated performance tests and benchmarks (such as playback sta...

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality.

• Set the strategy and technical direction for foundational security capabilities spanning client-stack security, client-stack identity, cryptography, authentication, authorization, and secure transport.
• Guide the design and delivery of security integrations and protections across mobile devices, b...

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality.

• Create a vision for how to best tell the story of how Netflix is using our AI tools and build consensus around this vision with our partners in Engineering Leadership and Strategy, Planning, and Analysis.
• Bring together multiple data sources, metrics, and analytics to keep our business informed abou...

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality.

• Set the product vision and roadmap for asset ordering and copy fulfillment, and bring on- and off-service ordering into one place.
• Own workstreams end to end, from framing the problem through launch, measurement, and the next iteration.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality.

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality.

• Lead finance integration workstreams for M&A transactions - spanning Core Finance, Tax, FP&A, Treasury, and Finance Product & Technology - from due diligence through Day 1 and Day 100 milestones, including integration playbook refinement, milestone tracking, and synergy realization reporting. Ensure critical controls, processes, and reporting capabilities are operational at close.

• Interpret the CS demand forecast: review model output, identify where human judgment or overrides are warranted, and document the rationale.
• Build overlays and scenarios for known upcoming events (product launches, pricing and policy changes, live events, outages, marketing activity, market-specific anomalies) and quantify likely demand ranges.

• Design and deploy reusable algorithms and frameworks for ML models in production.
• Iterate across the full cycle of machine learning in the multimedia domain, such as data processing, feature extraction, distributed model training with GPUs, and deploying the produced models into production.

• You are a quality-focused engineer driving cross-team projects while mentoring peers
• You are proficient in JavaScript / TypeScript, and Java

• Co-drive the build vs. buy evaluation for centralized authorization - contribute to vendor bake-offs against an in-house option, weighing latency, flexibility, operational cost, and vendor lock-in.
• Help design the policy model: roles vs. permissions vs. relations, org-level vs. resource-level roles, role hierarchies, resource ownership/sharing, multi-tenancy.