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

Develops and supports Oracle systems for shipping execution and warehouse management. Responsibilities include creating PL/SQL objects, developing database and ETL programs, enhancing Oracle EBS and Cloud solutions, testing end-to-end functionality, contributing to Agile projects, designing technical solutions, and mentoring junior developers. The role also supports supply chain operations and offers exposure to full-stack web development and service-oriented architecture.

Own and shape a unified eCommerce engineering platform across multiple brands. Lead approximately 30 employees through engineering leaders, oversee quoting, ordering, catalog, inventory, fulfillment, order status, and customer projects, and unify WWT and Softchoice teams. Set technical direction, remain hands-on in architecture and code reviews, introduce AI-native practices, establish KPIs and SLAs, and partner with Product, UX, business stakeholders, and customers to deliver reliable, scalable digital commerce experiences.

Leads AI governance and cybersecurity risk advisory engagements for large, regulated organizations. Advises C-suite executives and boards on AI threats, regulatory requirements, governance operating models, risk assessments, control frameworks, and cyber resilience. Owns complex engagement delivery, client relationships, team leadership, business development, proposals, engagement economics, and practice growth. Develops methodologies, thought leadership, and risk-management solutions covering AI governance, cloud security, identity management, data protection, incident response, and third-party risk.

Define and govern enterprise application architecture across quoting, catalog, and pricing portfolios. Design APIs, integrations, cloud-native and containerized solutions while ensuring security, scalability, performance, resilience, and cost efficiency. Establish architecture governance, documentation, disaster recovery, observability, and Infrastructure as Code practices. Partner with stakeholders and engineering teams to translate business requirements into technical solutions, evaluate emerging technologies, lead proofs of concept, and mentor teams.

Lead pre-sales solutioning for Physical AI, primarily computer vision, video intelligence, spatial intelligence, and vision language models, with supporting robotics expertise. Engage customers, qualify opportunities, design solutions, build business cases, and develop proofs of concept and demonstrations. Enable sales teams, collaborate with technology partners, create technical content, and contribute to developing WWT’s Physical AI practice and repeatable offerings.

Designs and shapes infrastructure technology solutions for SLED clients across digital workspace, networking, data center, and mobility. Advises customers, develops business cases and solution strategies, supports sales opportunities, evaluates project scope and value, and collaborates with account, project management, and delivery teams. Leads solution development teams, mentors junior staff, supports project planning and resource management, and promotes cross-business services. Requires up to 25% travel.

Provides technical pre-sales support for VMware and Nutanix virtualization solutions. Leads customer workshops, executive briefings, and technical advisory engagements; develops reference architectures, solution collateral, and thought leadership; supports sales teams, co-selling partners, and go-to-market strategy; trains employees and partners; and maintains relevant vendor certifications.

Leads hands-on data center infrastructure projects for enterprise customers, including installation and integration of VMware, storage, networking, hardware, software, and cloud technologies. Serves as a trusted client advisor, manages project engagements, collaborates across teams, works under tight schedules, and mentors less experienced personnel. The role involves complex data center deployments, customer relationship management, and up to 75% travel.

Leads architecture, provisioning, automation, performance validation, and day-two operations for large-scale NVIDIA GPU clusters and AI compute environments. Designs repeatable bare-metal and Kubernetes-based infrastructure using schedulers, monitoring, networking, and infrastructure-as-code. Serves as the technical authority for DGX, HGX, MGX, NVL72, and Cisco AI POD deployments, while supporting pre-sales discovery, bills of materials, solution estimates, client workshops, and executive-level communication.

Architects and deploys high-performance NVIDIA InfiniBand and Spectrum-X Ethernet fabrics for AI infrastructure. Responsibilities include fabric topology, routing, congestion control, RoCEv2, DPU offload, telemetry, automation, cabling, optical validation, performance testing, and infrastructure-as-code. Leads client delivery, pre-sales scoping, bills of materials, technical workshops, and integration with enterprise networks. The role requires translating complex network architectures into scalable deployments and commercial outcomes.