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

Lead architecture and hands-on development of cloud-native, microservices-based systems and company-wide integrations (AWS and MuleSoft) using Python. Own provisioning, billing, telemetry, and integration landscapes; define AI-SDLC and AI tooling; implement infrastructure-as-code and CI/CD; ensure observability, testing, security, and operational readiness; translate architecture into Jira work and mentor engineering teams.

The Enterprise Account Executive is responsible for driving new business revenue within the federal government, establishing relationships, closing sales, and managing proposal development to achieve sales targets.

Lead hands-on administration of IAM systems (Okta, AD, M365), build and maintain integrations with endpoint and security tooling, own device trust and conditional access, support audits (SOC 2/FedRAMP), troubleshoot escalated identity issues, and document configurations while providing broader senior systems administration support.

Design, build, and scale Python backend services and agentic LLM workflows for a multi-tenant, regulated enterprise platform. Productionize LLM integrations (Bedrock), ensure security/compliance, implement async orchestration, optimize data layers (Postgres, vector search/RAG), and add observability, real-time eventing, and typed API contracts. Collaborate cross-functionally and drive architecture to production.

Lead strategy and execution of ABM campaigns for enterprise accounts: align with sales and demand gen, manage budgets and timelines, target high-value accounts, measure performance and ROI, optimize campaigns, and run reporting dashboards to drive pipeline, expansion, and retention.

The Sr. Account Executive will sell compliance solutions to enterprise clients, managing extensive sales cycles and building relationships with C-suite executives.

Lead strategy, development, and commercialization of AI-powered features within a compliance and data archival platform. Define product vision and roadmap, translate technical requirements into prioritized backlogs, collaborate with engineering and stakeholders, measure product success, and drive adoption and lifecycle management of developer-facing infrastructure and AI solutions.

Senior full‑stack engineer responsible for building production-quality Salesforce platform capabilities, integrations (MuleSoft, REST/SOAP), AI-enabled tooling (Claude plugins, MCP servers), CI/CD, and reusable libraries. Mentor engineers, run architecture/code reviews, and collaborate cross-functionally to deliver scalable, secure cloud-native solutions using Python, LWC, Apex, and AWS.