Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Build and maintain scalable batch and real-time data pipelines, model data to power analytics and ML, and operate distributed data systems. Collaborate with business, engineering, and data science teams to ensure data quality, documentation, and debugging while adopting new technologies and working in an ambiguous, fast-changing environment.

Design and implement ad measurement metrics, perform deep-dive analyses, build reporting and automated pipelines, create visualizations, and provide actionable insights to improve advertiser measurement and platform health.

Lead technical direction for a cloud game: define architecture, hire and mentor engineering teams, oversee prototype-to-live ops execution, integrate Netflix cloud-gaming platform, manage external partners, perform deep engine-layer debugging and performance optimization, and continuously refine processes and pipelines.

Lead strategy, architecture, and roadmap for Netflix's cloud gaming infrastructure (OS, software stack, telemetry, control plane, transport). Build and grow engineering teams, partner across hardware, encoding, SRE, and product, own hardware fleet economics and operational success, and represent infrastructure tradeoffs to senior leadership while driving low-latency, cost-effective scaling.

Lead creative guidance for game development across design, art, audio, and narrative. Provide actionable feedback, define creative priorities and player identity, ensure faithful IP representation, and champion lifecycle and live-service design to deliver high-quality, retention-focused games while coordinating cross-functional and external teams.

Lead development and maintenance of internal design system libraries, tools, and Figma plugins. Implement AI solutions to speed design workflows, own medium-to-large features end-to-end, run internal user research, provide support and on-call coverage, conduct design and code reviews, and collaborate with designers and engineers to drive technical strategy and adoption.

Design and execute ML research and end-to-end model development for generative and summary-generation systems. Lead rigorous experiments, translate findings for stakeholders, partner with engineers to deploy models, track state-of-the-art advances, and define roadmaps to improve promotional writing and discovery for members.

Design, build, and maintain core Android infrastructure, app architecture, developer frameworks, and release tooling. Implement cross-platform UI frameworks, server-driven UI, and scalable libraries using Kotlin, Java, Jetpack Compose, Dagger/Hilt, and GraphQL. Drive testability, performance, accessibility, and production tooling while collaborating with product and client teams to enable engineering velocity at scale.

Build and operate next-generation ML data and feature infrastructure, including near-real-time feature computation engines, feature stores, and embedding retrieval systems. Scale data processing, storage, and serving for high-throughput training and low-latency inference. Collaborate with ML practitioners and AI Platform teams to improve feature discovery, sharing, and practitioner productivity.

Design and implement machine learning and optimization algorithms for the ad marketplace; build, train, and evaluate large-scale production models; develop online and offline evaluation frameworks; partner with product on objectives and trade-offs; communicate results to stakeholders.