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

Build and evolve Humana’s NBA Action Library and Command Center using React, TypeScript, Node.js, PostgreSQL, and Kafka. Develop accessible front-end experiences, REST APIs, data models, integrations, automated tests, and reliable state-driven workflows. Collaborate with product, design, and platform teams to deliver secure, scalable software supporting action creation, governance, versioning, preview, and publishing.

Develop and maintain a Java and Drools business rules engine governing eligibility, suppression, frequency, and consent. Build Spring services, REST APIs, and Kafka integrations; ensure correctness, performance, testing, resiliency, and compliance in a PHI-handling environment. Collaborate with Product and compliance teams, participate in code reviews, and support cloud-based Kubernetes deployments.

Develop and operate reinforcement learning systems powering Humana’s Next Best Action platform. Responsibilities include RL algorithm development, reward and constraint design, simulation and backtesting, distributed Databricks and Ray RLlib training, PySpark feature engineering, MLflow model governance, production deployment, safety evaluation, and integration with rules engines and feedback pipelines. The role also requires explainability, auditability, and collaboration with healthcare, data, platform, and compliance teams.

Maintain and improve a complex healthcare platform spanning rules engines, applications, orchestration, event streaming, and data pipelines. Diagnose production issues, improve reliability, observability, performance, and scalability, implement focused features, write tests, participate in reviews, support on-call incident response, and lead root-cause analysis. Collaborate with delivery and decision intelligence teams to assume long-term ownership of platform components.

Build, deploy, and operate production machine learning and decisioning pipelines for Humana’s Decision Intelligence Platform. Responsibilities include MLOps, feature engineering, scoring workflows, monitoring, optimization-aware decisioning, reinforcement learning, simulation, constrained optimization, and large-scale data processing. The role partners with engineering and product teams to deliver reliable, scalable, auditable systems while addressing clinical eligibility, operational constraints, policy failure modes, and regulated-domain requirements.