Top Remote Software Engineer Jobs in CO

Develop, deploy, maintain, and support mainframe applications for insurance operations including policy administration, claims, and underwriting. Analyze requirements, design and implement code, troubleshoot issues, execute testing, document solutions, and provide production support. Lead smaller projects, communicate with stakeholders, and mentor junior analysts while serving as a subject matter expert in mainframe technologies.

Lead development of Toast’s consumer-facing web experiences, building scalable guest and restaurant features across the stack. Collaborate with frontend, backend, iOS, and Android engineers using React, TypeScript, Next.js, APIs, and backend services. Own projects from development through launch, monitoring, and analysis while experimenting with users and influencing consumer product strategy.

The Senior Full-Stack Engineer will manage client relationships, design integration solutions, and ensure seamless delivery and optimization of technical workflows, while leveraging AI for efficiency.

Build and maintain internal AI-powered tools and automations for sales, customer success, and revenue operations. Implement features, automate lead routing and pipeline workflows, troubleshoot integrations, monitor tools, fix bugs, and evaluate AI platforms. Collaborate with nontechnical stakeholders to gather requirements and deliver reliable, documented code using APIs, scripting languages, and database systems.

Own post-sale technical deployments for enterprise customers, configuring monitors, alerts, and integrations in Snowflake and Databricks environments. Write production Python, SQL, and API integrations, drive customer adoption and measurable value, expand usage across teams and use cases, and provide feedback to Product and Engineering. Help establish the forward-deployed engineering playbook while advising data engineering teams and executives.

Develop and launch reliable backend systems using Python or Kotlin, AWS, MySQL, and Kubernetes. Break projects into deliverable phases, collaborate with product, design, and analytics teams, monitor system metrics, support availability and on-call operations, debug code, conduct code reviews, and contribute to team growth and interviewing. The role requires 1.5+ years of software engineering experience and strong communication skills.

Leads software teams developing, integrating, deploying, and maintaining full-stack mission applications for DoD and intelligence customers. Builds prototypes, scales applications, develops responsive frontend features, integrates systems, collaborates with government operators, and conducts deployment and field testing in secure environments. The role requires customer relationship management, technical leadership, software engineering expertise, and active security clearance.

Lead a small, hands-on engineering team responsible for analytics infrastructure and member growth. Own technical strategy for ClickHouse-powered analytics, data visualizations, and LLM-enabled data experiences, while guiding onboarding and activation roadmaps. Write and review code, design experiments, partner with product and design, make architectural decisions, and hire, mentor, and develop engineers. The role requires strong web application experience, product judgment, communication skills, and expertise across Ruby on Rails, databases, ReactJS, and TypeScript.

Own end-to-end commercial navigation features for fleet customers across mobile, backend, and web platforms. Build reliable, tested, observable software for challenging conditions such as poor connectivity and changing routes. Collaborate with product, design, Maps, Telematics, and customer-facing teams to define priorities, success metrics, and tradeoffs. Ship and maintain customer-facing experiences, with opportunities to use React Native, Swift, Kotlin, geospatial technologies, and AI-assisted development tools.

Develop and maintain commercial scientific visualization software in modern C++ on Windows. Build desktop features across backend engines and user interfaces, improve performance for large datasets, and expand automation, scripting, APIs, and system extensibility. Collaborate with product managers and engineers on architecture, feasibility, code reviews, technical debt, and cross-codebase initiatives while improving customer workflows and software quality.