Top Hybrid Senior Level Software Engineer Jobs in CO

Develop and operate Java and Kotlin services for a large-scale cloud platform. Responsibilities include designing, testing, deploying, and improving software; diagnosing production reliability and performance issues; addressing scalability bottlenecks; enhancing observability; participating in incident response; and contributing to architecture, code reviews, and operational improvements.

Build and maintain real-time, event-based systems for the Offers team. Lead the design and development of scalable services, create maintainable technical solutions, enforce code quality and governance, and own systems from development through production. The role involves mentoring developers, estimating work, documenting solutions, supporting business needs, and working across Go, TypeScript, React, SQL, Kafka, and GCP.

Develop and maintain PLM and digital engineering applications using Python and related technologies. Lead software design, requirements gathering, SDLC planning, coding, testing, code reviews, and quality improvement. Collaborate with engineers, analysts, administrators, architects, and business stakeholders. Guide technical solutions, establish development standards, and support Agile delivery. Preferred experience includes PLM and manufacturing systems, Aras Innovator, C#/.NET, UX design, and CI/CD automation.

Build and own backend services and APIs supporting retirement money movement, payments, settlements, reconciliation, compliance integrations, payroll, and financial workflows. The role involves shipping reliable production code, debugging incidents, improving observability, partnering with product, compliance, and operations, and mentoring engineers. Candidates should have extensive software engineering experience, financial systems expertise, end-to-end ownership, and Ruby on Rails or comparable backend framework experience.

Design and build scalable frontend and backend features for route planning, routing, navigation, and route execution products. Partner with product, design, and engineering leadership to improve planner efficiency, leverage AI appropriately, and promote technical excellence. Mentor junior engineers, contribute to team growth, engage with customers, and help scale products across industries and customer verticals.

Design, deploy, and optimize Philo’s distributed video streaming infrastructure, including ingest, transcoding, packaging, delivery, RESTful services, analytics pipelines, DRM, and ad insertion. Improve platform reliability, performance, latency, security, video quality, and cost efficiency. Collaborate with content partners and internal video, advertising, client, and data teams while supporting streaming quality across new platforms. The role also involves architectural ownership, cloud operations, and mentoring.

Leads cross-functional engineering squads, partnering with Product Management to prioritize milestones, build technical roadmaps, deliver platform services, and maintain engineering quality. The manager recruits and develops teams, coaches engineers on responsible AI adoption, oversees delivery and technical decisions, and ensures strong code quality, testing, documentation, and process improvement. The role is hybrid in Denver and requires leadership of multiple engineering teams and complex technical initiatives.

Develop and maintain a globally distributed advertising server and buying platform. Responsibilities include full-stack design, coding, testing, releases, production support, code reviews, technical planning, troubleshooting, and collaboration across teams. The role requires Java backend development, asynchronous programming, database and SQL expertise, algorithmic problem-solving, and management of competing priorities. Ad technology and header bidding experience are preferred.

Architect and build a high-performance trading platform for active traders. Develop responsive web interfaces integrating real-time market data, low-latency execution workflows, and advanced trading tools. Collaborate with cross-functional engineering teams on large-scale initiatives, emphasizing scalability, performance, API quality, maintainability, developer experience, and end-user usability.

Build and maintain MongoDB’s distributed database infrastructure for cluster scalability. Design data partitioning, data movement, dynamic scaling, workload execution, and resilient distributed protocols. Solve complex performance and low-latency systems problems, contribute production-quality C++ code, participate in design and code reviews, lead new feature development, and mentor engineers.