Top Information Technology Industry Jobs in Denver & Boulder, CO

Support and improve reliability, scalability, and performance of large-scale databases across cloud and on-prem. Build automation, Kubernetes operators, GitOps workflows, and tooling in Go or Python; implement observability, capacity planning, failover, backups, schema migrations, and self-healing systems; partner with application teams and leverage AI to improve operations and engineering productivity.

Support SMB Account Executives by providing Mandarin-language sales support: join discovery and demo calls, review quotes and contracts in Mandarin, assist deal progression and handoff to onboarding, and collaborate with sales and cross-functional teams to convert referred demand into new customers.

Build and scale AI platform infrastructure for internal agents across AWS/GCP. Integrate identity (Okta, OAuth2/OIDC), implement agentic security, containerized deployments (Docker/Kubernetes), CI/CD and Terraform-based pipelines, run vendor evaluations, and design observability/telemetry for LLM-driven workflows while collaborating with security, identity, and engineering teams.

Design and train LLMs and agentic systems for cybersecurity using RLHF/RLAIF and supervised fine-tuning. Build agent architectures, tooling, retrieval/memory, and evaluation pipelines with rigorous statistical benchmarking. Optimize prompts and inference, collaborate with engineers to productionize prototypes, and drive research on agent planning, safety, and reliability.

Assess Falcon environments, recommend and document security remediations, troubleshoot incidents with support and internal teams, produce service reports, and ensure customers meet Falcon Complete standards and SLAs.

The Senior Member of Technical Staff will define the technology vision for storage solutions, engage with customers, analyze market trends, and lead strategic technology initiatives.

The Principal AI/ML Engineer will develop AI/ML solutions for hardware and firmware validation, enhance test efficiency, and collaborate across teams to implement data-driven analytics and automation.

Lead SSD hardware development across the product lifecycle: architecture, high-speed SI/PI analysis, PCB/schematic design, lab validation and debugging, manufacturing readiness, cross-functional integration, and mentorship. Apply AI-enabled tools to accelerate validation, automation, and debugging workflows.

Support the Legal team on commercial and corporate matters, contract approvals and executions, due diligence, legal research, and stakeholder queries. Partner with Commercial teams on US sales contracts, improve processes using technology, and help maintain up-to-date legal documentation and training materials.

Manage and engage Cadillac dealerships across an assigned Northern California territory through regular field visits (up to 75% travel). Drive vehicle and accessory sales, mentor and consult with dealer teams, support product launches and inventory management, monitor customer satisfaction, analyze local market and dealer performance, and assist with customer problem resolution to meet monthly and yearly sales objectives.

Provide technical accounting support for GM Defense programs: analyze contracts and transactions for US GAAP and FAR/CAS compliance, document conclusions, advise stakeholders, support contract pursuits, maintain controls and SOX compliance, assist SAP system configuration and month-end close, and support disclosures and accounting projects.

Manage and engage Buick/GMC dealerships within the Memphis territory through frequent field visits. Drive vehicle and accessory sales, mentor and train dealership staff, support product launches and marketing alignment, monitor customer satisfaction, analyze local market and inventory, assist in problem resolution, and ensure compliance with GM sales objectives.

Maintain and support high-availability on-air broadcast and cloud streaming systems (AWS). Lead incident response and troubleshooting, perform root cause analysis, implement reliability improvements, create reusable infrastructure patterns, run upgrades and preventive maintenance, document runbooks, mentor team members, collaborate with networking, software, media engineering and vendors, and participate in a rotating on-call schedule with occasional in-person support.

Lead and execute change enablement strategies for Fleet initiatives, including impact assessments, stakeholder engagement, readiness planning, adoption measurement, and cross-functional alignment. Partner with business leaders and L&D to identify capability gaps, advise on best practices, facilitate workshops, monitor adoption metrics, and drive continuous improvement of change methodologies. Support sponsorship activities and lead special strategic projects.

Own and grow a portfolio of enterprise and upper mid-market clients by driving revenue, retention, and expansion of managed and professional services. Build senior stakeholder relationships, develop account plans, manage opportunities through the full sales cycle, coordinate cross-functional teams, monitor account health, and ensure delivery of measurable business outcomes.

Own and grow a portfolio of strategic enterprise clients as the single executive point of accountability. Build C-suite relationships, develop and execute strategic account plans, drive revenue growth, retention, and multi-year, multi-SOW engagements. Coordinate cross-functional teams to align cloud and managed services solutions to business outcomes, manage pipeline and forecasting, and serve as executive escalation for client issues.

Manage and optimize paid media campaigns to drive profitable app installs. Plan, execute, test, and scale acquisition channels (Google, Microsoft, Apple, paid social, CTV/TV), run incrementality and creative tests, model app economics, and deliver insights to improve efficiency and user growth.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.