Top Remote Entry Level Software Engineer Jobs in CO

Design and own secure, scalable wallet infrastructure for custody, key management, transaction signing, authorization, recovery, and multichain systems. Architect support for MPC, HSMs, secure enclaves, TEEs, smart contract wallets, account abstraction, and emerging cryptographic approaches. Define security boundaries, policy engines, secrets management, authentication, and programmable authorization while making foundational build-versus-buy decisions and guiding systems from first principles through production.

Build, test, ship, and operate production backend features with minimal guidance. Design APIs, background jobs, integrations, data models, migrations, and bounded services while maintaining security, performance, observability, and reliability. Review code, improve automated testing, investigate production issues, address technical debt, participate in operational support, and collaborate asynchronously with product, frontend, infrastructure, and security teams. Use AI coding tools responsibly by validating and correcting generated output.

Lead the technical direction of Zocdoc’s patient acquisition platform, building scalable APIs, microservices, AWS infrastructure, and React experiences. Improve SEO, page speed, system reliability, and patient-facing data access. Collaborate with Product, Design, and Marketing, integrate third-party data and Contentful, apply LLM technology, promote engineering excellence, mentor engineers, and drive AI-focused innovation across distributed teams.

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.

As an Outcome Engineer, you will architect multi-agent systems, implement automated governance, and build evaluation frameworks to enhance AI-powered workflows.

The Quantitative Developer will assist with client onboarding, support, implement and maintain new functionality for portfolio compliance, and improve team documentation.

Develop and maintain full-stack web applications and enterprise integrations across SAP, Zoho, and third-party systems. Build APIs, microservices, workflows, data models, and responsive front ends; manage data transformation, authentication, security, testing, deployment, troubleshooting, and production support. Collaborate with business teams to translate requirements into technical solutions and document applications, APIs, and integrations.

Develop and maintain full-stack applications using Vue 3, Nuxt, JavaScript, Node.js, Firebase, Firestore, and Google Cloud Platform. Build APIs, microservices, integrations with AI and marketing platforms, payment systems, and cloud services. Troubleshoot UI, database, deployment, and API issues; write tests; and collaborate remotely with the CTO and development team. This is a part-time, equity-based startup opportunity requiring approximately 20 hours weekly.

Leads a software engineering team while remaining hands-on technically. Responsibilities include recruiting and developing engineers, guiding architecture and technical discussions, partnering with product and UX, building interfaces and backend systems, and improving application scalability, stability, security, and efficiency. The manager will influence technical strategy, evolve roadmaps, collaborate cross-functionally, and support cloud-based distributed systems.

Develop and deliver production-grade full-stack software across .NET/C# backend services and React front-end applications. Build reliable, scalable AWS cloud solutions, work with relational and document databases, implement CQRS, and use AI-assisted coding tools and agent-driven workflows. Validate AI-generated code for security, quality, and maintainability; collaborate with Product and QA; participate in code reviews; embed compliance and security; and mentor engineers.