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

Supports information security initiatives through automation for vulnerability management, detection engineering, cloud identity management, and SOC 2/SOX ITGC compliance. Learns security tooling, identifies process improvements, and performs Level 1 security alert triage and investigations. The internship is full-time for 12 weeks in summer 2027 and requires hybrid work in Denver three days per week.

Develop and operate production ML and AI systems powering patient experiences such as matching, ranking, recommendations, onboarding, and personalization. Build reusable ML infrastructure, pipelines, evaluation, observability, and model-serving capabilities. Provide technical leadership across the ML lifecycle, guide architecture, evaluate custom versus foundation-model approaches, and partner with ML and Patient Engineering teams to deliver reliable, scalable AI products.

Prospect hospitals, health systems, and medical groups through phone, email, and social channels. Research accounts, identify decision-makers, qualify inbound and outbound opportunities, schedule discovery calls and demos, and document activity in Salesforce. Partner with sales teams on territory and expansion strategies, communicate Hospital Solutions’ value, manage funnel metrics, and consistently meet or exceed meeting and pipeline quotas.

Own and improve the core learner platform to increase learning rate, retention, and engagement at scale. Prioritize an AI-first roadmap, ship AI-assisted features (AI Tutor, AI Grader), define outcome metrics, run experiments, and collaborate with Curriculum, Learning, and Engineering to deliver high-quality, engaging learner experiences.

Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.

Develop and operate scalable DNS control-plane software and APIs for DigitalOcean’s network products. Responsibilities include implementing, testing, optimizing, and monitoring distributed services; collaborating across networking teams; supporting existing products; improving development tooling and processes; and establishing software architecture and engineering best practices. The role requires experience with Go, databases, APIs, Linux systems, high-performance applications, cloud development, containerization, virtualization, CI/CD, and DNS or networking.

Lead software engineering teams developing, integrating, deploying, and maintaining full-stack mission applications for DoD and intelligence customers. Build prototypes and high-performance user interfaces, integrate APIs and independent capabilities, collaborate with military and government operators, and conduct deployment, field testing, and troubleshooting in secure operational environments. Manage customer relationships while ensuring software quality, reliability, and performance.

Owns security trust and compliance programs, audits, policies, control design, continuous monitoring, evidence pipelines, and security automation. Leads framework implementations, identifies risks, manages auditor relationships, develops control health metrics, and mentors practitioners without direct authority. The role requires deep knowledge of security and privacy frameworks, GRC engineering, cloud infrastructure, SaaS environments, identity governance, and modern security practices.

Architect and operate scalable backend systems, APIs, distributed services, and secure data platforms using Python and related technologies. Partner with data science and ML teams to productionize AI capabilities, lead cross-team technical initiatives, improve engineering standards, and mentor engineers. Own systems throughout the product lifecycle while emphasizing reliability, observability, performance, privacy, and data integrity.

Supports venture capital clients by ingesting, transforming, mapping, and verifying portfolio financial data from Excel, PDFs, CSVs, and other sources. Improves AI agent workflows, prompt design, and automation protocols while collaborating with Customer Success, Product Support, engineering, product, and operations. Provides customer support and helps scale accurate, efficient data-processing workflows.