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

Develop and implement AI/ML algorithms across computer vision, NLP, time series, reinforcement learning, and large language models. Analyze multimodal datasets, apply research findings, document systems, support AWS-based training and deployment pipelines, and mentor team members. The role requires substantial AI/ML development experience, advanced Python and machine learning library proficiency, deep learning expertise, and an active TS/SCI clearance.

Leads researchers and developers in building computer vision AI/ML solutions for remote sensing, including automatic target recognition and multimodal EO/SAR data fusion. Responsibilities include preparing datasets, researching supervised and unsupervised methods, training and optimizing deep learning models, deploying algorithms to cloud environments, communicating technical findings, and documenting systems. The role requires active TS/SCI clearance and provides technical leadership from prototype through operational deployment.

Senior Systems Engineer supporting software-intensive and AI/ML product development in Agile teams. Responsibilities include requirements elicitation and traceability, systems architecture, interface documentation, automated verification, AI/ML output evaluation, user-story refinement, integration and validation, technical leadership, and customer or government test engagements. The role requires an active TS/SCI clearance with current CI polygraph and supports mission-critical national security space programs.

Leads software architecture and engineering delivery for complex classified government systems. Responsibilities include designing cloud-native and distributed architectures, guiding teams of 30+ developers, establishing APIs and interface standards, driving DevOps and CI/CD adoption, governing software quality and resilience, communicating technical risks, facilitating customer architecture reviews, and mentoring distributed engineering teams.

Design, develop, test, deploy, maintain, and optimize scalable software applications. Lead the full software development lifecycle, oversee automated testing, modify existing programs, and collaborate with product managers, architects, and engineers. The role emphasizes Java-based development, microservices, RESTful APIs, secure coding, cloud technologies, Agile/Scrum practices, and software quality.

Manages a local IT team supporting classified and unclassified systems, networks, cloud infrastructure, and business applications. Partners with stakeholders to deliver technical solutions, oversees IT projects, ensures compliance and security, establishes performance metrics, and provides escalated hands-on support. Responsibilities include mentoring staff, managing priorities, communicating changes, maintaining infrastructure, implementing automation and security tools, and reporting operational KPIs.

Own end-to-end deployment and operational success of mission-critical enterprise software across customer environments. Develop C#/.NET and Java customizations, manage Kubernetes infrastructure and Helm-based Infrastructure-as-Code, optimize CI/CD pipelines, troubleshoot production systems, and maintain high availability. Serve as the primary technical customer liaison, provide architecture guidance and training, collaborate with product teams, and lead Agile delivery. The role is onsite in Aurora, Colorado, requires an active Secret clearance, and includes up to 25% travel.

Leads an interdisciplinary team developing and deploying algorithms for signal and image processing, space domain awareness, SATCOM, and SIGINT. Applies data structures, algorithms, cloud services, and high-performance computing techniques to defense and commercial solutions. Responsibilities include technical leadership, algorithm implementation, research review, software deployment, and technical documentation.

Own and prioritize the software product backlog, define requirements and acceptance criteria, communicate with stakeholders, and guide delivery through Agile ceremonies. Collaborate with engineering, architecture, UX/UI, marketing, and support teams while using technical expertise in software development, systems engineering, cloud platforms, Kubernetes, front-end development, and DevSecOps to make product decisions and deliver features.

Designs and operates a hybrid MLOps platform across Kubernetes and AWS for production AI services. Builds CI/CD pipelines, observability systems, self-service model tooling, governed data pipelines, and scalable inference infrastructure. Collaborates with research and product teams to productionize AI prototypes while ensuring security, reliability, compliance, cost efficiency, and disaster recovery. Mentors engineers and drives platform best practices.