Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Design, implement, and operate core components of Azure Storage, focusing on metadata and data services for a hyperscale distributed file system. Build reliable, durable, and cost-efficient storage platforms using DPUs, optimize OS and networking (TCP/RDMA), participate in design, on-call DRI duties, and drive reliability and performance improvements.

Serves as a senior technical advisor for Azure customers, leading discovery, solution architecture, demonstrations, proofs of concept, and production-readiness engagements. Translates business and AI requirements into secure, scalable Azure plans, removes technical blockers, influences decision makers, and accelerates cloud adoption and consumption. The role also develops partner relationships, supports co-selling, provides technical training, shares customer insights with product teams, and mentors others on Microsoft cloud solutions.

Originate and build expressive interactive graphics and motion experiences for Copilot using code, shaders, and real-time browser rendering. Develop production-ready components, optimize CPU/GPU performance, ensure accessibility and reduced-motion support, and collaborate with product engineering on integration and maintenance. Create reusable graphics systems and tools, document technical and artistic decisions, mentor teammates, and guide ambiguous projects from creative concept through delivery.

Build and maintain developer workflows, CI/CD and deployment automation, containerized development environments, SDK packaging and release pipelines, AI performance dashboards, and productivity tools. Design scalable software and developer tools for novel hardware platforms, collaborate with hardware and ML teams, manage C++ codebases, establish engineering standards, and optimize software delivery and production readiness.

Design and implement AI compiler features and optimization passes, using LLVM/MLIR and related tools. Develop code generation for new hardware, optimize AI workloads, and build AI software in C++ and Python. Collaborate with hardware architects and ML developers, define requirements, estimate effort, and drive coding standards and adoption.

Leads Americas security architects in customer-facing engagements, enterprise security strategy, architecture reviews, escalations, and product feedback. Drives customer growth, security adoption, resilience, risk management, and AI transformation. Develops managers and technical leaders, builds high-performing teams, engages executive stakeholders, and provides technical thought leadership across Microsoft security solutions, cloud security, identity, data protection, SIEM, XDR, and security operations.

Leads technical security sales engagements through demonstrations, proofs of concept, hackathons, architecture workshops, and customer consultations. Designs secure, scalable cloud and hybrid architectures, resolves technical blockers, and advises customers on Microsoft Security solutions, including Defender and Sentinel. Develops security posture recommendations, supports XDR, zero trust, cloud security, and AI adoption strategies, while influencing technical decisions and representing Microsoft in developer communities.

Design and operate large-scale, AI-native cloud infrastructure (especially Kubernetes/AKS). Improve service quality, automate incident prevention/remediation, accelerate engineering productivity, and integrate AI tools into development workflows.

Own worldwide AI Business Process sales strategy, revenue, consumption, pipeline, and forecasting across Dynamics 365, Copilot Studio, agents, and related solutions. Lead and coach a global specialist sales community, engage executive customers, drive partner co-sell motions, enforce sales methodology and execution standards, develop talent, and translate field insights into global go-to-market strategy. The role also drives adoption, consumption planning, technical skilling, deal inspection, and business performance across regions.

Build and maintain large-scale automation and control systems for Azure Kubernetes Service. Responsibilities include improving Kubernetes cluster performance and reliability, automating cluster lifecycle operations, developing safety and observability tools, supporting secure infrastructure changes, participating in production operations and on-call rotations, and mentoring engineers through design reviews and continuous improvement.