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.

Build and own interactive web experiences across Chat, Notes, Calendar, Docs, and Sheets. Develop reusable frontend architecture, real-time collaboration, rich-text editing, scheduling, tables, spreadsheets, and streaming AI integrations. Partner with product, design, backend, and AI engineering teams to deliver reliable, accessible, high-performance experiences across browsers and devices.

Develops and maintains full-stack software applications. The posting provides compensation, benefits, contractor availability, and application timing information but does not specify particular technical responsibilities, technologies, or qualifications.

Build end-to-end user features under senior guidance: implement REST endpoints in Node.js/TypeScript, microservices in Python, maintain PostgreSQL schemas, process background jobs with QStash/Upstash, deploy to Cloudflare Workers/Pages/R2, write tests, and collaborate with product/design on React UI components.

Build and own React-based front-end applications connected to Databricks lakehouse data. Develop authentication, role-aware access, data visualizations, configurable portals, SQL-driven integrations, and conversational Genie Space interfaces. Collaborate with data engineers, functional experts, and product managers to deliver standardized solutions across higher education institutions. The role requires TypeScript, Python, modern front-end frameworks, state management, data fetching, server-side deployment, authentication, and structured SQL data integration experience.