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

Develop full-stack software and database applications across legacy and modernized systems. Integrate AI capabilities using LLMs, agents, and automation; contribute to web platform quality, resiliency, and upgrades. Participate in Agile planning, development, testing, releases, demonstrations, and retrospectives. Provide post-production support, including quarterly on-call rotation, while collaborating with product teams to deliver reliable solutions supporting sales operations.

Develop and operationalize AI-native engineering tools, workflows, standards, and reference architectures across the enterprise. Research emerging technologies, build proofs of concept, integrate approved tools, and create scalable engineering patterns. Develop and deliver AI training, tutorials, documentation, presentations, and demonstrations for technical teams and executives. Support adoption through office hours, change management, stakeholder communication, troubleshooting, and feedback gathering.

Leads consulting engagements that design, build, evaluate, and deploy enterprise agentic AI and infrastructure automation solutions. Responsibilities include multi-agent orchestration, LLM and model-platform integration, RAG, tool and API connectivity, guardrails, observability, testing, and production rollout. The role advises client executives, translates business needs into AI strategies, mentors engineers, develops reusable architectures and evaluation assets, and drives responsible, measurable AI outcomes.

Designs, builds, and operates observability and SRE systems that improve IT service visibility, reliability, performance, and resilience. Responsibilities include metrics collection, monitoring, alerting, APM, RUM, synthetic transactions, SLOs, incident response, capacity planning, infrastructure automation, self-healing systems, and production readiness reviews. The role also applies AI-enabled operations, supports on-call rotations, reduces operational toil, and partners with development teams on architecture and chaos testing.

The Services Solution Architect scopes and designs enterprise VDI and end-user computing services opportunities. Responsibilities include technical discovery, solution architecture, work breakdown structures, labor estimates, pricing, customer-ready SOWs, proposal presentations, and delivery handoff. The role advises customers, collaborates with sales, engineering, partners, and delivery teams, develops productized services and reusable estimating tools, and supports platforms including Citrix, Omnissa Horizon, Azure Virtual Desktop, and Windows 365. Up to 25% travel is required.

Senior Analyst supporting an eCommerce platform unification project across WWT and Softchoice. Responsibilities include gathering and translating business requirements, defining user stories and acceptance criteria, documenting processes and data requirements, managing backlogs, coordinating delivery, and partnering with product and engineering teams. The role also leads functional testing, regression testing, UAT, defect resolution, release validation, stakeholder communication, ongoing support, analytics dashboard development, and broader customer journey requirements.

Design, develop, and maintain data pipelines, ETL processes, integrations, data infrastructure, and complex data models. Build and support data warehouses and analytics solutions using SQL, PL/SQL, Oracle, Snowflake, and cloud technologies. Collaborate with analysts, architects, developers, data scientists, and business stakeholders throughout the delivery lifecycle. Provide production support, troubleshoot issues, tune database performance, and contribute to data-driven reporting and AI tools.

Serve as a technical advisor for enterprise adoption of Claude Cowork. Lead executive discovery, workshops, demonstrations, use-case design, proof-of-value plans, adoption roadmaps, governance guidance, and responsible AI enablement. Translate customer needs into measurable productivity and business outcomes while collaborating with sales, engineering, delivery, and customer success teams. Develop reusable AI assets, prototypes, solution concepts, proposals, and integration strategies involving APIs, workflow automation, and enterprise systems.

Develop and support full-stack software and database applications across legacy and modernized systems. Integrate AI capabilities using LLMs, agents, and automation; promote responsible AI adoption; and contribute to platform quality, resiliency, testing, releases, and sprint planning. Provide post-production support, participate in on-call rotation, mentor team members, and collaborate with product teams to deliver scalable solutions for WWT’s sales organization.

Lead architecture and design of scalable, distributed systems; research and drive complex multi-technology solutions; develop prototypes; conduct technology assessments and dependency mapping; communicate decisions to technical and C-level stakeholders; provide technical leadership and mentoring across multiple teams; support digital transformation roadmaps and implementation planning.