Top Software Engineer Jobs in CO

Design, architect, develop, test, and oversee complex software systems for space technologies. Lead engineering teams, make high-level technical decisions, guide large-scale projects, troubleshoot distributed systems, and drive software strategy. Collaborate with technical and non-technical stakeholders, conduct code reviews, document systems, mentor engineers, and evaluate technologies, methodologies, automation, cloud platforms, databases, and secure development practices for classified environments.

Designs, develops, tests, and architects complex flight software for space systems. Responsibilities include writing maintainable code, collaborating on requirements, managing changes with version control, conducting code reviews, troubleshooting issues, documenting processes, and mentoring engineers. The role also provides technical leadership and contributes to innovative mission, spacecraft, and payload-control software solutions.

As a Senior Principal Engineer, you'll define and drive the technical strategy for customer experience platforms, lead architectural decisions, and mentor engineering teams to enhance customer and agent experiences.

Design, build, and maintain scalable Salesforce Apex solutions supporting Sales and Customer Experience teams. Use AI coding assistants throughout development, apply Salesforce architecture and release-management practices, deploy with sf CLI, and build reliable production systems at scale. Improve deployed features, measure impact, document code, and contribute beyond Salesforce when needed. Translate ambiguous requirements into scalable technical solutions and business value.

The Principal Engineer will lead technical direction across multiple teams, design architecture for financial systems, mentor engineers, and drive multi-year transformations in the Money Group.

As a Staff Software Engineer, you'll design, build, and test Gusto's core platform services, mentor engineers, and collaborate with various teams to solve complex engineering problems.

Design, build, and support Amazon Connect contact flows, serverless Java/Python microservices, and React agent workspaces. Integrate LLM-powered agent assistance (Bedrock/RAG), secure REST APIs, and implement monitoring and reliability for enterprise contact center solutions.

Lead the technical vision and architecture for backend systems supporting experimentation, personalization, analytics, and conversion optimization. Design and operate high-throughput distributed systems and APIs, build data infrastructure, and productionize AI/ML capabilities. Drive complex multi-team initiatives, influence engineering strategy, establish technical standards and operational excellence, and mentor senior engineers. Partner with product, data science, ML, and engineering teams to translate business needs into scalable solutions.

Build and maintain full-stack software across data models, APIs, user interfaces, workflows, and production systems. Develop accessible, form-driven applications using TypeScript, Node.js, NestJS, React, and Next.js. Design transactional and flexible databases, implement asynchronous processing, and write unit, integration, and end-to-end tests. Participate in code reviews and technical design discussions while improving scalability, security, reliability, and WCAG compliance. Own features end to end with growing autonomy and collaborate with senior engineers and technical leadership.

Build and operate customer-facing applications and shared platform services using TypeScript, Node.js, React, and Next.js. Own API contracts, SDKs, data models, cloud delivery, observability, testing, and service adoption across engineering teams. Lead AI-assisted development practices, delivery automation, reliability improvements, technical documentation, design reviews, and mentorship. The role also involves evolving financial, authentication, workflow, and event-driven systems in a hands-on individual contributor capacity.

Leads a backend platform engineering team, overseeing hiring, coaching, delivery, roadmap planning, architecture, and cross-functional collaboration. Builds reusable services, APIs, tools, and self-service capabilities supporting multiple products. Drives scalability, reliability, developer experience, observability, security, automation, incident response, capacity planning, and operational excellence while contributing to technical decisions and troubleshooting.

Build SDKs, self-service apps, and reusable abstractions for Coinbase's data platform. Develop data integration and processing tools, enable observability and security (cataloging, lineage, access controls), and collaborate with analysts, data scientists, and engineers to scale and operationalize data pipelines and models.

Own performance optimization, reliability, observability, capacity modeling, and automated failover for Coinbase’s blockchain node infrastructure. Diagnose resource bottlenecks, reduce infrastructure costs, define SLOs and SLIs, support protocol upgrades, and improve node performance across distributed systems at scale. Collaborate with protocol integration, wallet, and indexer teams while applying backend programming and systems profiling expertise.

Leads multiple engineering teams and managers, defining technical strategy, improving stability and quality, and ensuring predictable delivery. Partners with Product, Architecture, business stakeholders, and external partners to prioritize solutions, manage technical debt, and support organizational growth. Develops engineering talent and standards while advancing cloud, DevOps, event-driven architecture, reliability, security, and AI-driven automation initiatives.

Lead Affirm’s Resilience Engineering team, defining strategy and building platforms for safe production load testing and chaos engineering. Manage engineers, establish safeguards such as isolation, approval workflows, rollback, observability, and auditability, and partner across infrastructure, security, and product teams to improve reliability. Drive adoption of resilience practices, identify distributed-system weaknesses, and guide monitoring, alerting, and incident response for production experiments.