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

Verify candidate information by contacting academic institutions, employers, military organizations, and references. Handle inbound/outbound calls, document findings accurately, escalate complex cases, follow quality guidelines, and use multiple computer applications to maintain data integrity for client reports.

Design, configure, develop, and implement custom ServiceNow applications and enhancements. Provide architectural guidance, script Business Rules/Client Scripts/ACLs, support multiple instances, collaborate with stakeholders, analyze system performance and large data sets, and apply Agile and ITSM best practices.

Own and run the Scrum process for a federal cloud engineering team: facilitate ceremonies, manage sprint execution and Jira boards, produce status reports, handle ServiceNow tickets and SharePoint documentation, support DevSecOps and ATO/security-related stories, and liaise with product leadership and federal stakeholders.

Lead requirements gathering and process design for federal clients, translating mission needs into ServiceNow solutions. Create user stories, acceptance criteria, process maps, UAT plans, and federal-grade deliverables while ensuring compliance with accessibility and FISMA/NIST security controls. Mentor junior staff and collaborate with architects and Agile teams to maintain backlog quality and drive consistent delivery.

Lead the document management product vision and roadmap for internal systems; translate strategy into prioritized requirements and business cases; partner with engineering, operations, and third-party vendors; run Voice of Customer research; manage vendor relationships and influence product enhancements and launches.

Manage a portfolio of commercial customers to drive retention, renewals, expansions, adoption, and value realization. Build territory strategies, forecast renewals, mitigate account risk, multi-thread with stakeholders, coordinate onboarding, troubleshoot basic technical issues, and maintain accurate data in Outreach and Salesforce.

Lead structured value discovery in mid-to-late enterprise pursuits, build rigorous data-backed ROI models, present business cases to C-suite, and scale value-selling through repeatable assets, mentoring, and cross-functional enablement to drive adoption, renewals, and expansion.

Lead design, development, and deployment of cloud-native solutions; architect, code, test, and integrate microservices and containerized systems; mentor engineers; drive technology adoption; analyze and resolve system issues; collaborate with project managers and stakeholders to align technical strategy with business goals.

Define and execute test strategies, build and maintain automated UI and API test suites, perform exploratory and in-depth testing, analyze results and debug defects, mentor junior engineers, and drive quality engineering best practices including regression, scale, and performance testing in an Agile environment.

Design and implement production-quality system software, tools, and frameworks for enterprise storage systems. Develop and run realistic validation and analysis solutions, debug cross-layer issues (application, OS, driver, hardware), collaborate with firmware/hardware teams, drive technical design, mentor engineers, and evolve internal tooling with AI integrations.

Design high-converting paid social creatives (short-form video and static/motion) for Meta and TikTok targeting US and European audiences. Produce large volumes of direct-response assets using CapCut and Canva, collaborate with marketing teams, iterate from performance data, and meet fast production deadlines while maintaining quality and attention to detail.

Lead integrated marketing programs for threat intelligence and threat hunting products. Create and amplify multi-channel content (video, podcast, email, web, social), translate technical research into accessible messaging, manage campaigns and editorial calendars, support sales enablement and events, engage the HUNTER community, and track content performance to drive pipeline.

Lead design and evolution of MLOps platform capabilities, workflows, and governance to enable reliable training, deployment, and operation of ML systems. Collaborate across data science and platform teams to standardize tooling (e.g., MLflow), improve reproducibility, scalability, CI/CD, and infrastructure-as-code, and onboard/enable multiple DS teams for production ML at scale.

Build and maintain production-grade dbt data models and end-to-end data pipelines. Collaborate with Finance, Engineering, Sales, and Product to deliver reliable reporting, analytics, and scalable solutions, reducing manual workflows and ensuring data accuracy.

Technical lead for ESEM/NinjaOne implementation and sustainment for the VA. Own platform architecture, tenant configuration, RBAC/SSO/PIV coordination, agent strategy, performance tuning, operational readiness, OEM escalation, and support for health checks, patch migration coordination, and cutover readiness.