Top Hybrid Software Engineer Jobs in CO

Design, develop, and test C++ software for RF processing, radar systems, simulations, and toolchains. Translate algorithm descriptions into software, integrate radar systems with experimental data and analytical tools, optimize performance, and participate in code reviews. Collaborate with cross-functional engineering teams to define requirements and deliver reliable, scalable solutions. The role is performed onsite five days per week and requires an active Secret clearance with eligibility for Top Secret/SCI.

Lead strategic customer AI deployments from discovery through production. Architect and build AI agents, integrations, workflows, and applications; advise C-suite stakeholders; own adoption, throughput, and ROI outcomes; run evaluations; and convert deployment insights into reusable assets, product requirements, and roadmap input.

Develop and maintain sports trading and tools applications and platforms using .NET, C#, and SQL Server. Build scalable, low-latency, highly available software handling high-volume real-time data. Support existing 24/7 trading systems, perform root-cause analysis, collaborate with product owners and testing teams, contribute to solution proposals and estimates, and mentor technical team members. The role will also expand into Golang, React, and Google Cloud Platform.

Build and maintain the full-stack platform connecting Blissway hardware to drivers, partners, and agencies. Own public user surfaces, partner integrations (DMVs, mailhouses, fleet vendors, ACH), platform/deployment tooling, service infrastructure, and internal access management. Ensure secure, robust, production-ready systems and tooling that support a fast-moving, small engineering team.

Manage cross-functional software engineering squads, partnering with Product Management to prioritize work, plan milestones, develop technical rollouts, and deliver solutions. Mentor and coach engineers, build technical roadmaps, support staffing and team culture, monitor progress, and make engineering decisions. The role also requires guiding responsible AI adoption in software development, adapting agile processes, and contributing directly to engineering-driven product initiatives.

Build and scale Go backend services for agent quoting, configuration, and application submission. Design APIs and distributed systems, write unit and integration tests, resolve partner-specific issues, contribute to architecture, support production debugging, improve CI/CD automation, and use AI coding tools in daily engineering workflows. Collaborate with adjacent teams and mentor teammates through pairing and documentation.

Build and optimize MongoDB’s SQL interface, including query engines, SQL-to-MQL translation, database connectors, and BI integrations. Develop backend systems that improve performance, scalability, reliability, and usability for large datasets and complex queries. Collaborate with product managers and customer experience teams, contribute to roadmap initiatives, resolve bugs, and lead major technical projects.

Leads architecture and hands-on development of scalable backend systems and APIs supporting real-time applications. Owns the engineering lifecycle, writes high-performance code, establishes testing and reliability practices, resolves production issues, guides technical roadmaps, collaborates cross-functionally, and mentors engineers. The role requires expertise in object-oriented backend development, distributed cloud systems, automated testing, system monitoring, and technical leadership.

Define architecture and metrics for autonomous driving evaluation, lead cross-functional integration across autonomy and simulation teams, develop statistical and machine learning methods, analyze large-scale time-series data, manage evaluation KPIs and release gates, and communicate safety and readiness insights through dashboards and stakeholder presentations.

Develop and integrate complex software applications for Honeywell Aerospace products. Interns will contribute software features, collaborate with engineering teams, apply software development lifecycle and configuration management practices, analyze problems, and develop innovative solutions while receiving mentorship and hands-on experience.