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

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.

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.

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.

Lead quality strategy and testing for the iOS Games SDK. Design and implement automated tests, build supporting tools and infrastructure, debug SDK issues, perform manual testing for hard-to-automate features, create test games and samples, and analyze operational data to improve test stability and developer experience.

Lead content design for Netflix Live experiences (sports and events). Create content strategy, craft microcopy and voice, design experiments, partner with designers and product managers, use data and consumer insights to iterate, and evolve globalizable language systems and guidelines.

Lead ML initiatives to improve Sales productivity and automation: define roadmap, design and deploy production ML models and AI agents, build measurement pipelines with analytics engineers, iterate from performance and seller feedback, and act as senior technical partner across product, engineering, and Sales to drive measurable revenue impact.

Design and build scalable training platform infrastructure for large distributed ML model training. Improve performance, reliability, and cost-effectiveness of training jobs. Build APIs/UX for ML engineers, diagnose GPU/communication/memory bottlenecks, and implement observability, fault tolerance, and on-call practices while partnering with ML researchers and infrastructure teams.

Lead and grow a backend engineering team building high-scale, low-latency consumer authorization platforms. Provide technical vision, partner with product, security, and data teams, balance short-term needs with long-term strategy, and hire, mentor, and retain diverse engineering talent.

Lead research and experimentation to measure ad campaign performance and effectiveness. Design evaluation frameworks, build measurement solutions, develop models for lift, conversion, and attribution, run experiments and analyses, partner with product/engineering/design/sales, present insights, mentor teammates, and foster technical community and culture.