Top Cloud Jobs in Denver & Boulder, CO

Lead and mentor a software engineering squad while remaining hands-on with code reviews, design discussions, and occasional development. Own the software development lifecycle, drive sprint execution, remove blockers, ensure secure and high-quality delivery, and partner with product and engineering leadership. Support open-source contributors, communicate progress and risks, and guide engineers’ technical and professional growth.

Lead the technical direction and architecture of the Foundations platform team, owning authentication, authorization, SSO, secrets management, tenancy, and core platform services. Design APIs, drive services through launch, make technical decisions, establish engineering standards, and mentor engineers without formal management authority. Partner with engineering and product leaders to align execution with priorities.

Maintain Cloudflare’s global data center and network infrastructure across remote colocation facilities. Responsibilities include coordinating contractors and vendors, configuring network equipment, maintaining operational availability, creating SOPs and documentation, improving processes through automation, supporting infrastructure deployments and migrations, and participating in 24/7 on-call coverage. The role also involves basic program management, troubleshooting, root-cause analysis, and collaboration with infrastructure, network engineering, and SRE teams.

Owns execution and outcomes for the Chief Customer Officer’s strategic portfolio, including go-to-market transformation, retention and renewal programs, product feedback loops, and executive account engagement. Converts executive direction into structured workstreams, coordinates senior cross-functional stakeholders, monitors program health and business metrics, escalates risks, drives accountability, and recommends scope or prioritization changes. The role also establishes operating standards for a growing programs function in a globally distributed environment.

Build reusable backend platforms and developer-facing tooling for performance testing, analysis, reporting, and AI-assisted engineering workflows. Enable service teams to independently incorporate performance testing into development and CI workflows through self-service capabilities, documentation, templates, diagnostics, and guidance. Partner with engineering teams, influence adoption, generalize solutions, and provide expertise on complex performance challenges.

Leads cross-team backend initiatives and technical architecture for GitLab’s Core DevOps platform. Responsibilities include modernizing a monolith, establishing service, API, data, security, testing, and observability standards, guiding Go and Kubernetes practices, supporting Rust adoption, participating in incident response, mentoring engineers, reducing technical debt, and advancing AI-assisted engineering workflows.

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.

Leads strategic sourcing for IT and professional services, including supplier selection, complex negotiations, competitive RFx events, rate-card governance, price variance analysis, contract lifecycle management, and vendor consolidation. Supervises AI workflow agents, audits automated outputs, mitigates commercial liabilities, and develops multi-year agreements that reduce costs and optimize enterprise procurement.

Develop and support full-stack financial applications, APIs, databases, and SSIS integration pipelines for the CFO organization. Build solutions with C#/.NET, ASP.NET, SQL Server, and modern front-end frameworks; integrate AI, LLM APIs, Databricks, and workflow automation; optimize stored procedures and data performance; and contribute to GitLab-based testing and CI/CD. Collaborate with finance teams to translate workflows into reliable technical solutions.

Leads the design and development of scalable automation platforms for nationwide network operations. Drives closed-loop AI automation, self-healing systems, Kafka-based event-driven microservices, and Kubernetes workloads integrating traditional and generative AI. Owns the platform roadmap, translates technical improvements into business value, and establishes rigorous engineering and security standards. Requires expertise in software architecture, 5G/Open RAN, cloud-native systems, network automation, and automation ROI.

Leads complex, cross-functional Customer Success programs from strategy through execution and operational adoption. Establishes governance, charters, metrics, milestones, accountability, and risk management across Professional Services, Technical Success, and Support. Uses data-driven analysis to assess program health, guide course corrections, and provide executive-ready reporting. The role also supports AI-driven solutions and enterprise software implementation in a remote Customer Success PMO environment.

Leads Data Security product growth across the AMS region by driving sales strategy, supporting technical and commercial opportunities, enabling field teams, and translating customer insights into product strategy and roadmap improvements. The role covers competitive analysis, pricing, pipeline and churn analysis, customer escalations, deployment support, and data-driven business updates. It focuses on AI-powered data security products, including DLP, DSPM, and AI security solutions.

Serve as a strategic finance partner to Product leadership, building financial models, forecasts, business cases, and scenario analyses for growth initiatives, pricing, investments, and resource allocation. Analyze SaaS metrics such as ARR, retention, churn, and unit economics, translating complex data into recommendations for senior leaders. Collaborate across Product, Finance, Data Science, and Marketing while improving analysis through automation, standardized processes, and AI-enabled workflows.

Owns go-to-market readiness for product launches, pricing and packaging changes, migrations, deprecations, and route-to-market changes. Translates product decisions into commercial and operational requirements, coordinates cross-functional teams, validates end-to-end customer and seller workflows, manages launch risks, and improves readiness processes through reusable frameworks and automation.

Lead the Performance and Quality Frameworks team, owning scalable performance engineering platforms and shared functional testing frameworks. Drive architecture, reliability, adoption, documentation, self-service, and roadmap execution across product teams. Apply AI tools such as Cursor and Claude Code to improve test development, maintenance, analysis, and engineering efficiency. Partner with cross-functional stakeholders, mentor engineers, measure framework outcomes, and support highly distributed SaaS systems using cloud, microservices, containers, and CI/CD technologies.

Own off-site SEO and content distribution, including backlink and citation outreach, guest post writing, third-party relationship management, competitive gap analysis, and backlink profile monitoring. Manage outreach pipelines, contribute to Reddit community strategy, collaborate with PR, Brand Content, and Product teams, and use AI tools to improve target research, pitch development, and link-building workflows.

Build and optimize automated release engineering systems, including CI/CD pipelines, build and deployment tooling, and AWS cloud infrastructure. Ensure software delivery quality, security, compliance, and reliability. Lead complex projects, participate in on-call support, mentor teammates, and promote technical excellence. The role uses Go, Java/Kotlin, TypeScript, GitHub Actions, PostgreSQL, DynamoDB, Backstage, AWS, and AI development tools.

Serve as the primary technical contact for enterprise customers, translating business needs into technical requirements and scalable solutions. Develop architecture strategies, documentation, and best-practice guidance; conduct proofs of concept, product demonstrations, training, and workshops. Troubleshoot complex infrastructure issues, advise on observability and enterprise technology, and collaborate with sales, product, and customer experience teams. Gather customer feedback to influence the product roadmap and support successful adoption of the LogicMonitor platform.