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

Lead Platform Systems engineering: define technical strategy, drive AI stack modernization, improve reliability, capacity, cost efficiency, and developer productivity; hire and develop engineers; deploy GenAI tooling; and coordinate cross-functional execution across AIMS and infrastructure teams.

Lead design and execution of a modernized, Python-native AI/ML platform for AIMS: define architecture, drive migration, build migration tooling, ensure scalability, observability, cost optimization, and reliability, prototype GenAI operational tooling, and set org-wide technical standards.

Build and operate scalable, highly available ML/LLM serving and compute infrastructure. Own long-term platform vision, deliver zero-to-one projects, partner cross-functionally, optimize performance and capacity, and support production ML models at scale.

Lead product strategy and execution for a portfolio of talent systems (first-party and vendor platforms). Partner with engineering, design, and data science to understand talent data flows, build AI-driven HR products, prioritize roadmaps, and drive launches, adoption, and continuous improvement across the employee lifecycle.

Lead the end-to-end cloud gaming product for connected TVs, own the mobile-as-controller roadmap, bridge viewing and playing experiences, optimize QoE (latency, input lag, video fidelity), design 10-foot UI flows, and coordinate cross-functional execution with game studios, platform and mobile engineering, and data science.

Design, build, and maintain tools and services for Active Directory and cloud identity platforms. Implement security policies and access controls, collaborate on Azure and Google Workspace deployments, automate integrations via APIs and CI/CD, maintain runbooks, participate in on-call rotation, and support AWS infrastructure for production systems.

Build and deliver consumer-facing TV application features and core client/UI capabilities. Design, architect, debug, test, and document performant, maintainable code; partner with designers, product, and cross-functional teams to componentize abstractions and improve developer experience and stability for large-scale systems.

Build and operate low-latency, highly available distributed data systems and services to deliver high-quality data products that power ML models and product experiences. Partner with data scientists and product teams, design scalable multi-tenant systems, ensure observability and operational reliability, and enable self-service data access.

Senior individual-contributor engineering leader responsible for defining technical and architectural direction for Growth Engineering, modernizing systems, building scalable, highly available consumer-facing platforms, partnering with cross-functional teams, mentoring engineers, and driving experimentation and A/B testing integration.

Lead design and execution of scalable experimentation frameworks for Netflix Ads. Develop auction-based, biddable media models, solve cold-start measurement problems globally, apply causal inference and ML, partner with product and engineering, and translate analytic results into strategic recommendations to optimize marketplace dynamics and member experience.