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

Full Stack Engineer responsible for building responsive frontends (JS/TS, React preferred) and backend services (Python, Go, or Node.js/TypeScript), designing RESTful APIs, managing databases (Postgres/MongoDB), and deploying on cloud (AWS). Collaborate with teams, optimize performance, and apply DevOps practices (Docker, Kubernetes, CI/CD). Requires strong problem-solving, communication, and 3+ years of experience.

Manage partner relationships and identify sales opportunities through inbound lead follow-up and outbound calls/emails. Use HubSpot/Salesforce to track sales cycles, close deals, process payments, and meet partner acquisition targets. Maintain product knowledge and communicate in English and regional languages.

Develops, tests, troubleshoots, documents, and maintains PeopleSoft customizations. Responsibilities include resolving defects and configuration issues, advising on technical solutions, collaborating with functional analysts, migrating projects through development and test environments, and preparing production migration requests. The role requires expertise in PeopleSoft modules, development tools, integrations, reporting, security configuration, databases, web servers, upgrades, and selective adoption processes.

Arizona-based Staff Attorney responsible for reviewing and validating legal documents and client claims, managing document workflows and quality control, communicating with clients, escalating legal or product issues, maintaining claim records, generating reports, and supporting SOPs, audits, data cleanup, and inbox management. Requires an Arizona bar license in good standing, document review experience, strong organization and attention to detail, comfort with digital tools, and remote work experience.

Leads an engineering team responsible for designing, building, and operating data security products and controls. Provides technical direction, hands-on engineering leadership, and delivery ownership across DLP policy, data discovery and classification, data access controls, policy-as-code workflows, automation, integrations, testing, deployment, reliability, and operational support. Translates data security requirements into scalable solutions while mentoring engineers and driving adoption of secure engineering practices.

Develop, train, evaluate, and deploy machine learning models and AI-powered applications. Responsibilities include data preprocessing, feature engineering, deep learning development, cloud-based model deployment, and collaboration with data engineers, MLOps teams, and business stakeholders. The role also requires applying strong analytical and research skills while staying current with advances in artificial intelligence.

Test new web and mobile features, report bugs and usability issues, run manual and automated tests, review requirements and designs, improve QA processes and documentation, and provide UI/UX feedback while collaborating with product, design, and engineering teams.

Lead development and reliability of real-time and batch payment-processing systems across authorization, clearing, settlement, disputes, and card-network integrations. Build scalable, secure, low-latency services using Java, Python, Kotlin, and AWS; improve network peering infrastructure, failover, and capacity. Own initiatives from planning through launch, participate in on-call rotations, reduce technical debt, and drive cross-functional engineering improvements and strategic planning.

Own and scale the US tax function for startups: manage federal and state corporate and personal tax filings, ensure multi-state compliance, drive automation and process improvements, provide light advisory on compensation and entity structuring, and collaborate with accounting while communicating directly with founders.

Lead and grow Omni’s North American Solutions Engineering team. Responsibilities include hiring, coaching, resource planning, technical discovery, demos, proofs of concept, playbook development, performance tracking, and executive customer engagement. The manager will partner with Sales, Product, and Engineering while remaining hands-on in strategic technical evaluations. Candidates need business intelligence or analytics presales experience, people-management experience, strong SQL and modern data stack familiarity, and excellent communication skills.