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

The Principal Software Engineer, Cloud will lead the Cloud Platform team to define technical strategy and architectural direction, ensuring robust cloud systems for robotics and AI applications.

Oversee daily branch operations, ensure compliance and audit readiness, support/backup the Branch Operations Manager, assign schedules, train and coach staff, manage cash handling/vault audits and teller balancing, ensure accurate account documentation, resolve customer issues, and promote bank products and services.

As a Partner, you will source clients, lead M&A transactions, and advise clients strategically, while earning based on closed deal revenues.

The Senior Software Engineer will work on projects involving cloud infrastructure, fare scanner tools, and contactless payment risk management, while collaborating closely with a small engineering team.

The Commissary Supervisor leads the commissary production, ensuring quality and safety standards, managing schedules, and fostering a positive work environment while overseeing team performance.

The role involves designing and developing secure software solutions, focusing on innovative sensor technology for Linux environments, and enhancing customer adoption through collaboration.

As a Software Engineering Intern, you'll design, build, test, and deploy software features that automate and optimize metal processing in factories, directly impacting production systems.

As a Founding Engineer, you'll lead product development initiatives, make architectural decisions, and foster engineering best practices in a startup environment. Your expertise will be critical in building a user-friendly AI-driven supply chain platform.

As a Senior MuleSoft Engineer, you'll lead the production of MuleSoft integrations, leveraging AI for development, testing, and delivery, managing multiple client engagements autonomously with clear communication on project status.

Analyze large marketing datasets, build predictive models for segmentation, pricing, and demand forecasting, support targeted campaigns and retention, partner with product and marketing, apply statistical and ML methods, ensure data quality with engineering, and communicate insights to stakeholders to drive conversion and retention improvements.