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

Build and operate scalable data pipelines, backend services, APIs, and infrastructure powering AI-driven healthcare applications. Design distributed data systems, ETL workflows, streaming platforms, and cloud-native architectures while partnering with AI, machine learning, and product teams. Own production reliability, observability, security, automation, and on-call support for business-critical systems.

Leads AI/ML, data, and full-stack engineering teams building scalable AI-native healthcare products. Responsibilities include hiring and mentoring engineers, defining team structures, partnering with product and AI leaders on roadmaps, driving 0-to-1 innovation, implementing modern AI/ML technologies, and championing agile, DevOps, automated testing, and continuous improvement practices.

Build and maintain large-scale healthcare data platform software using HL7/FHIR, Apache Spark, Python, Scala, Databricks, and cloud technologies. Shape technical roadmaps, architecture, and implementation approaches; collaborate with product and business stakeholders; maintain CI/CD and staging environments; and mentor junior engineers. The role requires deep healthcare data expertise, technical leadership, and experience with modern software engineering and integration practices.

Own the production runtime for Phare’s machine learning stack by deploying, serving, and scaling models across GPU inference endpoints and batch or streaming workflows. Build progressive delivery pipelines, automated rollbacks, observability, alerting, and incident response processes. Manage model registries, retraining lifecycles, versioning, data lineage, security controls, and reproducible releases using Kubernetes, Terraform, Docker, and CI/CD.