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

Own and evolve a high-traffic catalog API for satellite imagery. Design backend services and data pipelines in Python, optimize PostgreSQL performance over large geospatial datasets, operate cloud infrastructure, and deliver reliable deployments with automated testing. The role offers significant architectural ownership on a small, autonomous team and involves geospatial standards, scalable services, and production modernization.

Develop and maintain AI-driven autonomous planning, scheduling, and optimization systems for Earth observation satellite operations. Build reinforcement learning algorithms, simulation and evaluation environments, and multi-objective optimization pipelines for satellite constellation tasking. Collaborate with aerospace engineers, mission operators, software engineers, and product teams to translate mission requirements into deployable systems. The role requires strong Java and Spring Boot experience, software engineering fundamentals, and machine learning or optimization expertise.

Creates, reviews, edits, and delivers 3D geospatial solutions from aerial and satellite imagery using proprietary software. Performs high-volume quality control, ensures compliance with product specifications, maintains consistency, reviews peer work, provides feedback, and prioritizes multiple tasks in a geospatial production environment. The role also requires mentoring or training experience and developing expertise in 3D product specifications and workflows.

Leads full-cycle technical and corporate recruiting, primarily for software, product management, engineering, data, and infrastructure roles. Builds sourcing strategies and talent pipelines, partners with hiring managers and HRBPs, manages candidate communication and offers, and supports executive and specialized searches. Uses recruiting data to improve pipeline health, processes, assessment practices, and hiring outcomes. Provides flexible recruiting support across satellite operations, go-to-market, corporate, and international teams.

Develop and maintain scalable Java and Spring Boot REST services, APIs, and microservices for mission-critical geospatial systems. Support containerization, orchestration, CI/CD, DevOps automation, testing, infrastructure deployment, data platforms, and third-party integrations. Contribute to architecture, performance optimization, troubleshooting, documentation, stakeholder demos, and Agile delivery. The role requires onsite work in Herndon, Virginia and collaboration on national security missions.

Leads development of statistical and machine learning models for time-series, geospatial, kinematic, and radar data. Responsibilities include feature engineering, forecasting, anomaly detection, data integration, ETL, visualization, algorithm evaluation, simulation, dataset creation, and stakeholder communication. The role also contributes to mission-focused software applications, APIs, data pipelines, documentation, code reviews, and agile development while requiring an active Top Secret or CBP/DHS suitability clearance.

Monitors enterprise, factory, and platform systems in a 24/7 operations center; manages tickets, incidents, alarms, escalations, and operational communications. Performs initial troubleshooting and supports system administration while coordinating with IT, mission operations, customer service, and software development teams. The role requires shift work, including overnight and weekend coverage, and involves maintaining system status visibility and resolving technical issues.

Support systems engineering foundations for satellite and ground systems: maintain requirements, models, design artifacts, and verification evidence; enforce processes and traceability; coordinate across disciplines; organize engineering baselines and documentation while learning MBSE and lifecycle practices.

Build and integrate secure AI assistants and chatbots into geospatial intelligence and mission-support applications. Develop LLM workflows using RAG, prompt orchestration, tool calling, and conversational context; connect AI services to enterprise data sources and APIs; and enforce access controls, provenance, auditing, and safety measures. Deploy and operate services in Kubernetes and OpenShift, including classified or disconnected environments, while evaluating AI quality, security, latency, and usability.

Leads a cross-functional engineering and science team supporting U.S. Space Force software evaluation and integration. Responsibilities include evaluating physics-based concepts, designing and testing full-stack software, implementing end-to-end solutions, reviewing and writing code, translating RF and space weather requirements, coordinating engineering disciplines, mentoring personnel, and communicating technical concepts to diverse stakeholders.