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

Lead design and implementation of scalable backend solutions, write production-ready Java/Spring code, drive architecture and CI/CD, mentor engineers, ensure quality via testing and observability, collaborate with product and clinical stakeholders, and reduce technical debt.

Design, build, and maintain scalable cloud-native data pipelines, microservices, and AI-driven orchestration. Develop Python APIs (Flask/FastAPI), implement advanced SQL transformations (BigQuery), integrate LLMs/agents for automated workflows, and collaborate with Data Science and Product to deliver production-grade, observable, and secure AI-enabled data solutions.

Design, architect, and implement cloud-native Java microservices and event-driven systems using Spring Boot and Kafka. Lead ETL and data migration efforts, ensure API governance and observability, drive SecDevOps practices, and integrate services with EHR systems using HL7/FHIR while mentoring engineers and collaborating on security and compliance.

Lead design, build, and operation of an on-prem AI compute platform (GPU, storage, network, Kubernetes/OpenShift). Establish SRE practices, 24/7 operations, observability, security/compliance, vendor and budget ownership, and hire and develop teams to ensure >99.99% availability and long-term operational sustainability.

Lead technical direction and architecture for mobile and enterprise solutions, remain hands‑on in critical systems, mentor senior engineers, drive CI/CD/DevSecOps, evaluate and integrate vendor and AI technologies, and establish engineering standards to improve quality, reliability, and delivery across programs.

Senior technical leader responsible for architecting and building cloud-native, microservices-based platforms with AI capabilities. Lead design and delivery of scalable search and AI solutions (LLMs, RAG), data pipelines, search optimization (Elastic/OpenSearch/Solr), CI/CD and DevOps adoption, observability, and mentor engineering teams while driving responsible AI practices and stakeholder collaboration.

Lead enterprise paid search, AI discovery and performance strategy to drive measurable retail, pharmacy and health services outcomes. Own SEM/AI ad programs, analytics-driven measurement, test design, stakeholder influence, cross-functional execution, and growth of retailer media platform capabilities.

The Senior Machine Learning Engineer will build and optimize ML systems for CRM marketing, collaborating with cross-functional teams to impact customer engagement and product functionality.

Serve as a strategic operator and thought partner to Retail Pharmacy leadership: translate strategy into action, own planning processes, shape executive communications, lead cross-functional initiatives, drive alignment and resource allocation, identify risks and opportunities, and ensure execution against high-impact priorities.

Lead a hands-on engineering team that delivers and operates the enterprise CI/CD and artifact platform (GitHub Enterprise, GitHub Actions, JFrog). Own day-to-day reliability, performance, security, migrations from legacy tooling, partnership with application teams, metrics, and rollout/governance of AI coding tools while building a high-performing team.