Top Cloud Jobs in Denver & Boulder, CO

Provide technical leadership to regional sales by evangelizing and architecting Rubrik's SaaS data resilience, observability, and remediation solutions (M365, Google Workspace, Jira, Dynamics). Lead technical sales calls, demos, POCs, and opportunity qualification; align product roadmap with customer needs; develop collateral and enablement; and drive adoption of cloud-native protection technologies across customers and partners.

Rubrik invites individuals to join their talent community to stay connected and explore employment opportunities, fostering inclusion and equal opportunity.

Rubrik invites engineers to join their talent community to be part of a team dedicated to data security, innovation, and inclusion. Candidates should be motivated to tackle challenges and contribute to product development.

Leads technical roadmap and architecture while building scalable full-stack SaaS features hands-on. Owns the full development lifecycle, establishes engineering, testing, security, and AI-assisted development standards, and guides cloud-native system evolution. Collaborates across product and engineering, mentors engineers, mitigates technical risks, and drives quality, performance, observability, and continuous improvement.

Premier Support Engineers at Datadog engage with clients to provide technical support, develop relationships, and drive product discussions while working in a fast-paced environment.

Provide quoting and deal-structuring support to global sales teams, negotiate with customers, resolve post-deal satisfaction issues, act as pricing subject-matter expert, and coordinate with legal, billing, finance, revenue, and product teams to ensure compliance with internal controls and policies.

Provide advanced technical support for public-sector customers running mission-critical, highly regulated hybrid and multi-cloud workloads on Datadog. Troubleshoot complex issues across integrations, APIs, networking, cloud, and OS layers; handle escalations and incidents; mentor junior engineers; collaborate with Product, Engineering, Sales, and Customer Success to validate bugs and drive adoption. Work in-office on a hybrid schedule and participate in on-call rotations.

Early-career AI Engineer building customer-facing generative AI and agentic solutions. Rapidly prototype and convert prototypes to production MVPs, implement LLM-based reasoning, RAG pipelines, and multi-agent orchestration. Run experiments and benchmarks, contribute to MLOps standards, model lifecycle, monitoring, security, and governance while collaborating with cross-functional teams and cloud-native AI stacks.

Lead product marketing for Applied's carrier-facing portfolio: set strategy, positioning, brand architecture, launches, and GTM. Build and lead a PMM team, drive market/competitive intelligence, win/loss research, partner cross-functionally with Product, Sales, and Marketing, and report PMM-influenced metrics while championing AI-enabled tooling.

Design and deliver scalable Databricks/Spark/Delta Lake data pipelines, implement GitLab CI/CD and IaC/container workflows, apply SOLID engineering and testing frameworks, mentor peers, integrate AI-driven monitoring, and collaborate with Data Science and Product to productionize ML solutions on AWS while ensuring security and reliability.

Design and deploy production-grade ML models and GenAI/LLM solutions to improve customer segmentation, churn prediction, LTV estimation, and automate enterprise workflows. Build cloud-native data science pipelines, measure impact via experiments, create executive dashboards, and mentor peers on MLOps and data storytelling.

Lead QA efforts for commercial B2B streaming platforms by designing and maintaining automated tests and CI/CD pipelines, executing performance and stress tests, performing deep Linux and IP networking troubleshooting, leveraging AI tools for test authoring and root-cause analysis, validating backend microservices and integrations, and managing defect lifecycle in JIRA to ensure reliable video delivery and enterprise data integrity.

Lead cross-functional programs ensuring GPU capacity meets demand. Partner with data center, host partners, engineering, and product to plan capacity, resolve vendor issues, translate utilization data into tradeoffs, build project plans, surface risks, and run post-mortems to improve supply, cost, and reliability.

Own and automate end-to-end employee lifecycle and shared IT infrastructure using infrastructure-as-code and SRE practices. Manage ITSM platform and AI-driven virtual agents, build integrations (Okta, Workday, JAMF, Google Workspace, Slack, Zoom, GitLab), instrument metrics, ensure reliability and compliance, and mentor support engineers.

Manage a book of public-sector accounts to drive adoption, retention, and expansion of the GitLab DevSecOps platform. Translate pre-sales plans into measurable objectives, coach customers on Git, CI/CD, and DevSecOps best practices, coordinate cross-functionally for escalations, and use project management to deliver customer enablement and success initiatives.

Lead GitLab's corporate and compliance legal function, advising C-suite and board on governance, securities, SEC reporting, equity compensation, executive compensation, and M&A. Build and manage a remote corporate legal team, implement policies and templates, oversee equity plan administration, manage outside counsel, champion AI-enabled legal workflows, and ensure compliance with public company obligations.

Lead Finance Data & Analytics to build trusted data sources, governance, and analytics for Finance and cross-functional stakeholders. Manage analysts, drive data strategy and Snowflake data models, produce insights via SQL and Tableau, and deploy AI solutions to optimize finance decision-making and operations.

As a Principal Data Engineer, you will design and implement LLM, AI-powered security data platforms, mentor engineers, and drive the adoption of data solutions across teams.

Lead federal cloud security and compliance efforts to achieve and sustain ATOs. Implement and automate FedRAMP/IL-5/RMF controls, manage continuous monitoring, coordinate 3PAO audits, drive cloud security architecture, oversee change control/SCRs, and lead incident response and POA&M remediation using AI-enabled automation and monitoring across high-security GovCloud environments.

Develop, train, and optimize computer vision and ML models (particularly video-based safety) using petabyte-scale camera and sensor data. Deploy and optimize models for backend and edge inference, collaborate with cross-functional teams, and translate customer needs into scalable ML/CV solutions.

The Account Executive for Mid Market is responsible for driving sales by engaging mid-sized customers, managing trials, and closing deals ranging from $20k to $100k, while traveling approximately 25% of the time.

Lead and scale an Enterprise Customer Success team (6-8 CSMs) to drive adoption, retention, and expansion for SaaS enterprise customers. Define strategy, build technical depth, mitigate risk using data, partner cross-functionally, manage executive escalations, hire and develop talent, champion AI workflows, and improve customer outcomes and renewals.