Top Tech Jobs & Startup Jobs in Seattle, WA

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.

Design, develop, operate, and improve Netflix’s internet-scale managed compute infrastructure. The role involves building distributed systems and Kubernetes-based services, balancing customer usability with reliability, scalability, and cost efficiency. Responsibilities include collaborating with Product and stakeholders, leading cross-functional infrastructure initiatives, mentoring engineers, maintaining operational excellence, improving incident response and on-call practices, and evaluating emerging cloud and compute technologies.

Design and build performance-focused TV UI architectures for Netflix’s streaming applications across smart TVs, game consoles, and cable boxes. Enable scalable development for engineering teams by improving developer experience, ergonomics, resource management, performance, memory usage, and technology integration. Responsibilities include systems-level architectural thinking, API design, profiling, collaboration with UI, design, platform, and tooling teams, and making thoughtful implementation trade-offs.

Design and implement machine learning and optimization algorithms for Netflix’s ad marketplace. Build, train, and evaluate models using large-scale production data; develop online and offline evaluation frameworks; and partner with product teams to define objectives and trade-offs. Communicate technical decisions and experiment results to diverse stakeholders while providing technical guidance and aligning ML solutions with business goals.

Lead design and implementation of gameplay and engine systems on Linux platforms. Mentor engineers, define technical specs, manage Linux infrastructure, optimize performance and security, integrate art, maintain documentation, support live services and mobile (iOS/Android) ports, and coordinate cross-team standards and tooling.

Lead and grow a senior machine learning and causal inference research team; define long-term research strategy; balance foundational and applied projects; partner cross-functionally to translate research into product impact; build external academic collaborations, publications, and a high-performing research program.

Design and build high-volume, low-latency Conversion APIs and audience onboarding systems to ingest consented advertiser events (server-to-server, pixel, batch). Develop streaming and batch pipelines (Kafka, Flink), enable deduplicated identity-enriched datasets for retargeting, optimization, measurement, and reporting while ensuring privacy and regulatory compliance. Collaborate cross-functionally and provide technical leadership.

Design, build, and operate scalable, fault-tolerant distributed data infrastructure and platform tooling. Collaborate cross-functionally to architect high-impact systems, contribute to library and platform development, and improve deployment, control, and observability for large-scale data systems.

Design, build, and operate scalable, resilient distributed systems for Netflix's Open Connect CDN. Develop cloud services, steering algorithms, deployment automation, data pipelines, and operational tooling to optimize quality-of-experience, hardware utilization, and cost efficiency while enabling real-time adaptation and reliable production operations.