Top Hybrid Senior Level Software Engineer Jobs in CO

Build scalable, API-first platform capabilities through manifest-driven development. Develop Java and Kotlin backend services and Python workers for third-party integrations, collaborate across engineering teams, participate in architecture reviews, and troubleshoot production systems using logs, metrics, and traces. The role requires expertise in highly scalable systems, object-oriented design, REST services, relational databases, responsive messaging, caching, and software quality practices.

Leads development and architecture of scalable Java software for NinjaOne’s endpoint management platform. Designs high-availability systems, addresses large-scale datastore performance and data-volume challenges, contributes to APIs and platform improvements, drives quality practices, owns technical initiatives, collaborates cross-functionally, and mentors junior engineers.

Design and implement scalable backup software for endpoints, servers, and cloud applications. Develop Java and Kotlin services, optimize databases and queries, debug production systems, and resolve distributed-system performance issues. Contribute code, reviews, architecture discussions, documentation, and cross-team reliability initiatives. Mentor engineers and help deliver resilient products operating at large scale.

Designs, develops, tests, deploys, documents, maintains, and debugs software solutions for PNC’s Asset Management Group. The role addresses complex business needs through technical design, application development, architecture, troubleshooting, testing, and release management. It is remotely based in Pennsylvania, with occasional in-office participation as needed.

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.

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.

Design, build, and operate backend services for Bestow’s insurance platform using Python, Go, Java, and PostgreSQL. Collaborate on technical decisions, integrations, carrier onboarding, and scalable platform capabilities. Mentor engineers through reviews and pairing, improve production reliability and observability, participate in on-call support, and communicate technical decisions in a remote-first environment. Use agentic AI coding tools daily and help establish effective AI-assisted development practices.

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.