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

Senior Business Systems Analyst responsible for capturing functional requirements for agent-facing servicing applications, defining integrations/APIs with core banking systems, translating needs into user stories and acceptance criteria, supporting testing and releases, analyzing workflows to improve agent productivity, and identifying AI/ML opportunities for fraud detection and automation.

Lead design, architecture, and delivery of enterprise web, mobile, backend and cloud solutions. Provide technical and people leadership across Agile teams, enforce engineering best practices (CI/CD, DevSecOps, observability), mentor engineers, manage delivery risks, and drive platform modernization and production readiness.

Lead enterprise rollout and scaling of GenAI tools (Devin, Claude, Cursor), integrate them into SDLC/CI-CD pipelines, train and enable engineering teams, monitor adoption and performance, enforce governance/security, and create reusable playbooks for scalable, governed GenAI usage.

Design user-centered interfaces and prototypes, create style guides, run usability testing, collaborate with engineers and product managers in an Agile/Scrum environment, and maintain current UI/UX best practices.

Lead full‑stack development using Core Java 11 and Spring Boot modules, build reusable front- and back-end components, design web architecture with HTML5/CSS/JavaScript/React, collaborate in Agile scrum teams, and ensure secure, scalable, high-performance solutions while articulating architectural decisions.

Drive day-to-day delivery of search and catalog discovery features for a B2B automotive parts platform. Own and groom the sprint backlog, write sprint-ready user stories and BDD acceptance criteria, coordinate with API/frontend engineers, QA, and stakeholders, and ensure release readiness, validation, and post-launch monitoring for parts search, vehicle fitment, PLP/PDP, pricing, and availability workflows.

Design, build, evaluate, and deploy predictive ML models across regression, classification, NLP, computer vision, and time-series problems. Perform data cleaning, feature engineering, EDA, model selection, tuning, explanation (SHAP, feature importance), and collaborate with engineers and stakeholders to operationalize and monitor models in production.

Lead design and delivery of large-scale agentic AI platforms: define architecture patterns, build multi-agent workflows and RAG systems, optimize performance, establish MLOps/CI/CD practices, run POCs with stakeholders, mentor teams, and maintain technical documentation.