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

Provides advanced technical support for HPE VM Essentials and Morpheus Enterprise deployments across on-premises, hybrid, and cloud environments. Leads critical escalations, incident resolution, root cause analysis, defect triage, and architectural guidance. Troubleshoots virtualization, compute, operating systems, storage, networking, and automation platforms. Develops support tools and processes, documents best practices, mentors engineers, and influences product quality and roadmap decisions.

Designs and maintains distributed storage system software and high-availability clustering solutions. Integrates storage, networking, operating systems, and hardware; debugs complex cross-domain issues; develops automation and configuration-management tools; integrates APIs; supports containerized and virtualized deployments; and helps resolve customer issues. The role requires strong Linux, storage, networking, programming, hardware, and distributed-systems expertise.

Leads HPE’s global cyber defense strategy, operating model, roadmap, and investment priorities. Oversees Cyber Defense Center operations, insider threat investigations, threat intelligence, detection engineering, incident response, threat hunting, and AI-enabled security operations. Partners with executives and board stakeholders, builds resilient global teams, manages transformation and budgets, improves detection and response capabilities, and represents HPE with industry and government partners. Requires approximately 25% travel.

Supports Linux infrastructure and R&D researchers with a focus on cloud security. Responsibilities include cybersecurity compliance, cloud administration, automation, configuration management, patching, compute and storage deployment, container management, scripting, centralized infrastructure support, and research partnerships. The role provides hands-on onsite infrastructure support in Fort Collins and requires lifting up to 50 pounds.

Lead global sales enablement and business planning programs for HPE Networking. Drive cross-functional initiatives, develop KPIs and executive dashboards, perform data and business analysis, partner with senior leaders, and deliver measurable operational improvements using BI tools and process optimization.

Own product areas within HPC/AI system management and orchestration software: define requirements, prioritize features, create PRDs and user stories, collaborate with architects and engineering, engage customers, support releases and go-to-market, and monitor product performance to drive improvements.

Design and own LLM inference runtime components, including engine integration, continuous batching, KV cache management, quantized execution, and distributed GPU execution. Build Kubernetes orchestration for scheduling, routing, admission, and autoscaling. Optimize latency, throughput, and GPU utilization; evaluate emerging inference technologies; resolve customer issues; conduct code reviews; and mentor engineers.

Leads Zerto Software product strategy, roadmap, lifecycle, commercial model, customer experience, integrations, and go-to-market execution. Builds and manages a geographically distributed product organization while driving cross-functional delivery with Engineering, Services, Finance, Marketing, Sales, and partners. Owns market positioning, pricing, KPIs, investment decisions, customer outcomes, and portfolio expansion focused on cyber resilience, data protection, workload mobility, and hybrid-cloud environments.

Leads portfolio-level product management across HPE Hybrid Cloud, integrating roadmaps, dependencies, governance, and execution across business units. Oversees the Product Management Council, drives AI-enabled product development lifecycle adoption, leads product management transformation, and advises executives on portfolio priorities, risks, customer outcomes, and delivery decisions.

Lead the architecture and technical direction of HPE’s LLM inference runtime and Kubernetes orchestration platform. Own engine integration, continuous batching, KV cache management, quantization, distributed inference, GPU scheduling, autoscaling, and performance optimization. Evaluate emerging inference technologies, mentor engineers, lead architecture reviews, and communicate technical strategy to executives. The role targets low latency, high throughput, and efficient GPU utilization across enterprise, air-gapped, and sovereign environments.