Top Hybrid Software Engineer Jobs in CO

Develops and supports applications using C#, .NET, and Microsoft SQL Server. Responsibilities include implementing features, fixing bugs, writing unit and integration tests, debugging across the application stack, researching solutions, and contributing to maintainable, secure, high-performance software. The role requires collaboration, independent problem-solving, continuous technical growth, and awareness of industry and open-source trends.

Leads and develops a software engineering team building real-time, event-based bonus systems. Oversees people, delivery, governance, quality, architecture, risk mitigation, and SDLC improvements. Drives AI and agentic workflow adoption, mentors developers, removes delivery blockers, and remains technically engaged with scalable, low-latency solutions across backend, frontend, messaging, middleware, and database technologies.

Build and maintain real-time, event-based systems and bonus mechanics for high-volume users. Develop low-latency, highly available microservices and concurrent distributed components, support existing code, identify technical improvements, contribute to solution proposals, and deploy to complex cloud infrastructure. Collaborate with stakeholders, estimate work, and use modern tooling and AI technologies to improve developer productivity.

Build and maintain high-throughput, low-latency distributed data systems across ingestion, storage, and retrieval. Optimize delivery pipelines, scale analytical database clusters (ClickHouse), develop GraphQL and log delivery solutions, monitor performance with observability tooling, troubleshoot production issues, and collaborate cross-functionally and with open-source communities to evolve the data platform.

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.

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.