Top Cloud Jobs in Denver & Boulder, CO

Lead Riot's multi-discipline data center engineering organization (mechanical, electrical, controls), set technical standards and QA/QC, approve designs at key milestones, oversee consultants and vendors, develop engineering talent, and represent engineering in cross-functional and executive decision-making.

Build and optimize backend data pipelines and calculations for 7M+ securities using Python/Django. Implement Airflow pipelines, pandas/Celery-based async calculations, database query tuning, caching, scalable data models, incident investigation, code reviews, and cross-team collaboration to ensure timely, accurate financial data.

Lead the Enablement Shared Services function to deliver learning experience design, governance, reporting, program management, and logistics. Build operational rigor, intake/prioritization frameworks, and reporting to measure program adoption and impact while managing and developing the Shared Services managers and teams.

Own and optimize Samsaras identity infrastructure (Okta, Google Workspace, Workato). Design and support integrations/automations, lead IAM initiatives, ensure StateRAMP/FedRAMP compliance, provide Tier 3 escalation, document runbooks, and partner with Security and GRC to strengthen identity security.

Lead Americas Field Activation & Execution team to implement field-specific enablement, drive adoption of global skill programs, address bespoke sales-team enablement, align with sales leadership, provide feedback to global program teams, and coach field enablement managers to scale programs and measure business impact.

Support daily administration, configuration, and optimization of the Salesforce platform. Translate business requirements into scalable declarative solutions, maintain data quality and security settings, triage support tickets, document processes, and collaborate with senior team members on platform improvements.

Manage a portfolio of global enterprise customers to drive expansion and maximize bookings. Lead strategic, outcome-focused selling, coordinate cross-functional teams, manage RFPs/procurement/legal reviews, maintain account plans and forecasting, and engage executives. Expect 10–20% travel for in-person strategic meetings.

The Contract Sourcer is responsible for pipeline generation supporting critical technical roles at MongoDB, engaging and screening top talent while adapting to changing business needs.

Lead product strategy and execution for security, compliance, and public-sector capabilities in MongoDB Atlas for Government. Translate FedRAMP/DoD/NIST requirements into roadmaps, drive multi-team programs, align senior stakeholders, enable audit readiness, and support market expansion and GTM for regulated industries.

Support U.S. government customers running GitLab in highly secure, constrained environments. Troubleshoot deeply using Linux, GitLab internals, logs, and CI/CD, reproduce and fix edge-case defects, contribute documentation and internal tools, participate in on-call rotations, and collaborate with Product and Engineering to deliver durable solutions for FedRAMP, air-gapped, and classified deployments.

Lead transaction advisory engagements by performing financial analysis and modeling, evaluating deal structures and valuations, managing multiple projects, liaising with clients and cross-functional teams, preparing clear reports and presentations, and reviewing junior team members' work to ensure accuracy and high-quality deliverables.

Lead buy- and sell-side Quality of Earnings engagements: analyze financials, assess earnings quality, working capital, and net debt; prepare diligence reports and presentations; manage VDRs; mentor junior staff; support valuation, deal structuring, integration planning, and business development.

Manage day-to-day financial reporting, general ledger accuracy, month-end close, and client reporting for nonprofit clients. Coordinate project tasks, review balance sheets and account classifications, prepare reporting packages and work papers, and assist in managing accountants and developing best practices.

Lead technical direction and deliver large-scale ML platform infrastructure including feature store, model serving, experimentation, and training pipelines. Drive architecture, mentor engineers, coordinate cross-team initiatives, resolve system-wide issues (latency, reliability, GPU utilization), and define safe ML deployment paths from registration through rollout, monitoring, and rollback.

Lead design, build, and deploy of large-scale data platforms for LLMs, RAG, and agentic AI systems. Hands-on coding, architecting fault-tolerant pipelines, establishing MLOps/DataOps best practices, mentoring engineers, and operationalizing research into production across Exabyte-scale distributed systems.