Top Cloud Jobs in Denver & Boulder, CO

Lead full-cycle recruiting for Product teams, partnering with Product leaders on workforce planning, sourcing, talent assessment, hiring strategy, and candidate experience. Build pipelines for Product Management, Operations, Design, and Leadership roles; provide market and compensation insights; use recruiting metrics to improve hiring outcomes; maintain ATS data integrity; implement scalable processes; and mentor recruiting teammates.

Partners with R&D and engineering leaders to manage cloud, cellular, and AI infrastructure costs. Responsibilities include financial analysis, monthly and quarterly reporting, month-end close support, annual operating plan preparation, forecasting, KPI development, cost optimization, and improving financial models and reporting processes. The role also presents insights to senior leadership and leverages AI tools to streamline finance workflows.

Build and productionize agentic workflows, RAG pipelines, AI services, backend systems, and ML pipelines for sales automation. Integrate Salesforce, quoting engines, data lakes, and internal platforms using scalable, event-driven architectures. Lead 0-to-1 development of tools for account research, lead prioritization, and quoting while ensuring reliability, observability, performance, and resilience across the GTM technology stack.

Develop fullstack web applications, enhance platform performance, collaborate on high-impact opportunities, and ensure stable, scalable solutions. Engage in rapid iterations and be a committed team player.

Manages global treasury operations, including cash and liquidity management, forecasting, FX exposure and hedging, investments, banking relationships, debt facilities, reconciliations, compliance, and treasury systems. The role leads process optimization, automation, controls, insurance renewals, and the implementation of Trovata Treasury Management System while partnering with finance, accounting, tax, IT, banks, and senior leadership.

Partners with engineering teams to identify and remediate product security risks across the software development lifecycle. Responsibilities include threat modeling, secure architecture and coding guidance, security testing, vulnerability prioritization, penetration testing coordination, bug bounty remediation, application monitoring, developer training, and secure deployment practices. The role also advances AI-assisted security tooling, DevSecOps practices, security champions, Kubernetes and container security, and scalable risk-based remediation frameworks.

Develops engineering-based cost models and capacity analyses for manufacturing and distribution bids. Translates customer requirements into estimates covering cycle times, materials, labor, and facility capacity. Maintains process standards, evaluates capacity impacts using predictive modeling, builds ROI-focused business cases, and validates RFP/RFQ assumptions with engineering, operations, maintenance, sales, supply chain, and finance teams.

Serve as legal counsel for complex technology transactions involving cloud, SaaS, AI/ML, satellite, terrestrial and non-terrestrial networks, hardware, and strategic partnerships. Draft and negotiate bespoke agreements, advise on licensing, data governance, AI risk, intellectual property, and infrastructure arrangements, and partner with Engineering, Product, InfoSec, Spacecraft Operations, Finance, and Sourcing. Build contracting playbooks, templates, escalation criteria, and AI-enabled legal workflows.

Analyzes sales and operational data to produce recurring performance reports, identify revenue optimization opportunities, and support leadership decisions. Partners with Sales, Marketing, Finance, and Product teams to develop analytical solutions, automate data pipelines, improve workflows, and deliver visual presentations and ad hoc analysis. Requires expertise in Google Sheets, Excel, SQL, database concepts, and data interpretation, with Shopify experience preferred.

Support enterprise customers and partners integrating applications with Wasabi Cloud. Diagnose, research, reproduce, and report defects; test storage services with third-party applications; validate interoperability using APIs and SDKs; investigate S3 protocol behavior; and collaborate with sales, development, QA, product, and support teams.

Leads Wasabi’s AI infrastructure, data factory, and developer partnerships strategy. Hunts and originates new relationships, develops joint go-to-market and co-selling motions, structures revenue-generating deals, and manages executive partner relationships. The role collaborates with Business Development, Sales, Marketing, and Product, builds the developer ecosystem, tracks pipeline and revenue performance, and represents Wasabi at industry events. Candidates need deep AI infrastructure and storage expertise, an established industry network, and a proven record of closing strategic partnerships.

Serve as the senior technical authority for global public cloud architecture across strategic customer engagements. Define reference architectures, standards, guardrails, and cloud service offerings; lead complex multi-region and multi-cloud designs; advise executive stakeholders; partner with Sales, Product, Engineering, Support, and Customer Success; build reusable automation and technical IP; mentor architects; establish competency standards; and influence product roadmaps and delivery methodology.

Leads a global Deal Operations team responsible for exception quoting, case management, approval queues, service levels, and quarter-end execution. Drives cross-functional improvements across Sales, Finance, Renewals, IT, and CPQ, translating system complexity into recommendations, reducing manual work through process optimization and automation, and serving as the escalation point for complex quoting. Manages team performance, hiring, documentation, governance, and operational change.

Own the full technology partner lifecycle, from qualification and commercial agreement through integration, activation, joint go-to-market, and royalty revenue generation. Manage a partner territory, forecast performance, conduct QBRs, coordinate with Product, Engineering, and Marketing, and build scalable onboarding and activation playbooks. The role requires enterprise SaaS partner management, commercial negotiation, partner economics expertise, technical fluency, and experience driving integrations and marketplace distribution.

Own regional Sales Operations infrastructure, including territory and quota planning, forecasting governance, pipeline inspection, CRM hygiene, executive reporting, and operational improvements. Partner with sales leadership, finance, compensation, systems, analytics, and enablement to improve coverage, forecast accuracy, workflow automation, and execution across multiple sales channels.

Build and operate reliable, scalable production infrastructure for GitLab’s user-facing services. Responsibilities include developing infrastructure automation and tooling, managing Kubernetes deployments, maintaining infrastructure as code, supporting CI/CD and GitOps, participating in on-call and incident response, improving observability and SLOs, troubleshooting production systems, and documenting operational practices. The role spans Intermediate through Senior Staff levels and requires strong software engineering, cloud, reliability, and asynchronous collaboration skills.

Coordinates the end-to-end candidate experience across hiring processes, including interview scheduling, candidate communication, applicant tracking system updates, pipeline monitoring, offer contract preparation, and handoffs to People Operations. Partners with recruiters and hiring managers in a high-volume, remote environment while maintaining accurate records, improving workflows, protecting confidentiality, and representing GitLab’s values and culture.