Top Remote Software Engineer Jobs in CO

Design, build, and maintain Gusto’s financial data and payment systems, including ledgers, subledgers, reconciliation, reporting, payment profiles, bank verification, and payment infrastructure. Lead variance investigations, make architectural decisions, scale Ruby/Rails and TypeScript/React applications, collaborate cross-functionally, and mentor engineers while ensuring correctness, auditability, and fault tolerance.

Own backend engineering goals for Consumer Engineering, lead delivery of scalable systems, collaborate with product, design, and analytics, improve reliability and code quality, resolve technical and business issues, support on-call operations, and mentor engineers.

Own quarterly engineering goals, lead backend engineers through ambiguous problems, collaborate with product and analytics partners, improve system reliability and availability, monitor operational metrics, establish quality standards, and mentor team members. The role requires designing and launching highly available distributed backend systems at scale using Python or Kotlin, AWS, MySQL, and Kubernetes, while driving technical planning and safe changes across large codebases.

Design and evolve high-scale backend capabilities for GitLab’s container registry. Drive architecture, performance, reliability, security, APIs, testing, and operational readiness. Mentor engineers, influence technical direction, participate in incident response, and collaborate asynchronously across product, infrastructure, data, frontend, and security teams. Integrate and evaluate agentic AI systems in production engineering workflows while promoting responsible and effective use.

Build and scale MongoDB Atlas Agent Engine, including its developer CLI, SDKs, runtime, memory, retrieval, identity, governance, and distributed systems layers. Design well-tested, reliable, high-performance software; contribute to architecture, code reviews, developer experience, and engineering practices. Collaborate across research, product, design, and engineering teams, own complex projects, mentor engineers, and help evolve the platform for production-scale AI agents.

Develop and enhance globally scalable software using .NET, Azure, React, SQL, and RESTful APIs. Implement internationalization for currencies, numbers, time zones, calendars, pluralization, and RTL layouts. Build automated tests, improve infrastructure reliability, participate in agile ceremonies, lead code reviews, and mentor junior developers.

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.