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

Manage an event marketing department and demonstrator team promoting home improvement products at shows, fairs, and festivals. Responsibilities include booking events, generating leads and appointments, recruiting and training staff, coordinating schedules, managing booth setup, tracking productivity, labor, inventory, budgets, and meeting performance goals. The role requires regular weekend work, customer engagement, local travel, and on-site presence near Centennial, Colorado.

Leads technical execution of a federal IAM modernization project, overseeing migration from legacy AIMS and PAS systems to a cloud-based solution. Manages Agile delivery, schedules, deliverables, backlogs, user stories, sprint scope, release management, environment support, stakeholder coordination, and operational planning while ensuring quality and Definition of Done compliance.

Design, program, commission, and troubleshoot PLC/HMI-based control systems for mission-critical AI data center infrastructure. Responsibilities include control panel and schematic design, network and protocol configuration, VFD controls, P&ID-based logic development, BMS integration, FAT/SAT support, commissioning, field troubleshooting, and maintaining engineering documentation. The role collaborates with mechanical, electrical, and systems engineers and requires onsite work in San Francisco, Long Beach, or Houston.

Systems Engineer responsible for managing engineering projects, coordinating multidisciplinary teams, tracking customer requirements, preparing technical reports and presentations, supporting bids and proposals, and maintaining document-based systems aligned with ISO 9001:2015. The role requires customer communication, project leadership, strong organization, and willingness to travel, obtain a DoD Secret clearance, use industrial tools, and perform physically demanding tasks.

Own product and protocol security across Jito’s Solana-based products. Responsibilities include threat modeling, secure design and code reviews, deployment hardening, internal audits, onchain monitoring, bug bounty operations, remediation tracking, AI-assisted security testing, and key and asset risk management. The role requires production software engineering experience, strong application security expertise, security automation skills, and familiarity with Web3, crypto, or DeFi.

Own technical support for enterprise SaaS customers by triaging and resolving complex issues, especially SSO and SCIM problems. Investigate logs, APIs, and browser tools; communicate status to Customer Success and Engineering; and manage escalations through resolution. Build runbooks, decision trees, and automation using AI tools to improve support scalability and enable self-service. Participate in customer troubleshooting calls and continuously improve support processes.

Own and extend Rightway’s commercial systems, especially Salesforce, by building Apex, Lightning Web Components, integrations, automations, and AI-powered tools. Improve commercial data quality, connect systems to the central data warehouse, and deliver solutions for sales and client success teams. The role is the first dedicated commercial systems engineer, with potential to mentor and manage future team members.

Designs, architects, and develops enterprise Pega solutions for Department of Veterans Affairs projects. Responsibilities include requirements gathering, Pega PRPC implementation, cloud and API integration, data modeling, code reviews, performance optimization, technical documentation, and stakeholder collaboration within Agile DevSecOps teams.

Staff Software Engineer leading hands-on full-stack development across C#/.NET services, Angular interfaces, databases, and AWS-hosted applications. Builds healthcare data integrations using HL7, FHIR, and X12 EDI; modernizes legacy systems; improves performance; applies secure coding and HIPAA practices; supports production incidents; reviews code; mentors engineers; and collaborates with product and QA teams.

Researches, develops, tests, and maintains materials-aware machine learning models and software. Designs scalable ML systems, improves model interpretability and uncertainty quantification, and develops inverse-design capabilities. Collaborates with product, engineering, and external research teams to deliver customer-focused AI solutions, publishes research, reviews code, analyzes model performance, and mentors developers.