Top Cloud Jobs in Denver & Boulder, CO

Serve as a trusted advisor to behavioral health providers: review financial reports, prepare budgets/forecasts, analyze KPIs, provide technical accounting support, identify operational improvements, lead US and offshore teams, and coach staff to ensure high-quality client deliverables.

As a Tax Manager, you will lead tax compliance engagements, manage a team, develop tax strategies, and build client relationships.

The Tax Manager will manage complex tax returns, oversee compliance for construction clients, provide tax planning, and advise on strategies. Responsibilities include conducting research, supervising staff, and building client relationships.

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.

Lead global sales skilling programs for managers and sellers, owning sales methodology, process, and messaging. Manage and develop a team, partner with field activation, embed value-based selling (MEDDPICC, Command of Message), leverage AI to accelerate programs, and measure adoption and business impact.

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.

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 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.