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

Develop and support software for satellite radiometric calibration, imaging sensor commissioning, and space operations. Responsibilities include service architecture, reliability monitoring, CI/CD integration, automated testing, operational troubleshooting, cloud-based distributed systems design, and collaboration with scientists and software teams. The role supports production and test environments, investigates data anomalies, and advances calibration operations for satellite imagery and geospatial data products.

Build and operate secure, scalable platform infrastructure for AI-driven applications across cloud, on-premises, and edge environments. Own SRE practices, CI/CD, deployment automation, observability, performance optimization, incident response, and reliability improvements. Develop Python-based internal tools, partner with software teams on production readiness, and support customer-site installations and lifecycle operations. The role also emphasizes security, compliance, developer productivity, and distributed-system troubleshooting.

Lead the development of statistical and machine learning models for time-series and geospatial data. Build analytic solutions, datasets, ETL workflows, forecasting and anomaly-detection models, simulations, visualizations, and reports. Evaluate algorithm performance, optimize classifiers, document processes, and collaborate with engineers, analysts, mission partners, and stakeholders to deliver reliable mission-focused software and data capabilities.

Lead and contribute to the design, integration, deployment, and sustainment of mission-focused systems. Translate stakeholder needs into technical requirements, architectures, interface definitions, deployment patterns, and operational processes. Partner with software engineers and data scientists to integrate applications, data pipelines, infrastructure, and external systems. Support testing, verification, troubleshooting, operational readiness, documentation, and reliability improvements for secure, scalable, data-intensive systems.

Develops statistical and machine learning models for kinematic behavior detection using live, historical, time-series, and geospatial data. Responsibilities include data integration, ETL, feature engineering, forecasting, anomaly detection, algorithm evaluation, simulation, visualization, reporting, documentation, and stakeholder collaboration. The role also contributes to mission-focused software applications, APIs, data workflows, code reviews, troubleshooting, and agile development in a remote-first environment.

Lead statistical and machine learning model development for time-series and geospatial data supporting the FALCON mission. Responsibilities include feature engineering, forecasting, anomaly detection, ETL, dataset creation, algorithm evaluation, simulation, data visualization, reporting, documentation, and stakeholder collaboration. The role also contributes to software applications, APIs, data pipelines, code reviews, troubleshooting, and iterative agile development.

Lead development of statistical and machine learning models for time-series, geospatial, kinematic, and radar data. Build analytic solutions, training datasets, ETL workflows, forecasting and anomaly-detection models, simulations, visualizations, and performance metrics. Integrate multi-source sensor data, enhance algorithms, document processes, and collaborate with engineers, analysts, mission partners, and stakeholders in an agile environment.

Serves as a strategic finance partner to business and functional leaders, leading planning, forecasting, budgeting, performance analysis, financial modeling, and executive decision support. Supports pricing strategy for new business, renewals, products, services, and contracts by evaluating profitability, risk, investments, and market dynamics. Improves pricing governance, reporting, controls, and analytical processes while leading finance talent and coordinating cross-functional stakeholders.

Lead the architecture and development of agentic engineering capabilities across the software development lifecycle. Build AI-powered workflows, agents, integrations, guardrails, evaluation systems, and observability patterns. Establish engineering data architecture and systems of record while advising teams on adopting agentic development practices. Drive scalable implementation, organizational adoption, measurement, and continuous improvement of AI-enabled engineering operations.

The Software QA Engineer creates and executes test plans, evaluates software features, provides usability and workflow feedback, supports customers and users, and interfaces with government customers on requirements, development progress, bug fixes, training, and technical support. The role supports intelligence applications across Linux, Windows, macOS, and Android platforms.