Top Remote Entry Level Software Engineer Jobs in CO

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.

Build and maintain the TypeScript-based Duo Client SDK, including Node.js core packages, public APIs, browser-compatible modules, Vue 3 client components, and platform adapters. Responsibilities include migrating consumers from the GitLab Language Server, managing versioning and deprecation paths, strengthening credential security, optimizing browser performance, writing tests, conducting code reviews, and participating in on-call support.

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 internal low-code applications and AI agents using Microsoft Power Platform and Copilot Studio. Support API and database integrations, automated testing, Agile delivery, documentation, and enterprise workflow automation. Collaborate across teams to build conversational AI, predictive analytics, and autonomous decision-making solutions while ensuring security, compliance, ethical use, accuracy, and reliability.

Build scalable backend services, APIs, workflow orchestration, integrations, and AI agent infrastructure for enterprise procurement, invoicing, contracts, and payments. Develop agent runtimes, multi-agent coordination, observability, evaluation, and testing systems. Ensure reliability, security, compliance, auditability, performance, and fault tolerance across distributed systems handling sensitive financial and operational data.

Build code, documentation, benchmarks, reference architectures, integrations, and developer community resources for an AI infrastructure platform. Support customer onboarding and incidents, reproduce performance claims, create tools for distributed training and inference, enable partners and providers, and advocate internally for product and developer-experience improvements. This individual contributor role defines Andromeda’s Developer Relations function and owns its content, documentation, community, and open-source strategy.

Leads technical direction and multi-year strategy for Netflix’s Application Networking organization. Partners with engineering leads to shape architecture for globally scaled distributed systems, service-to-service communication, external traffic, identity, security, and access enforcement. The role addresses complex, ambiguous technical challenges, influences stakeholders across business units, contributes to open-source or industry standards, develops senior engineers, and communicates with engineering, product, and executive audiences.

Leads application engineering for an AI-powered email product, owning backend, mobile, and desktop architecture. Designs reliable AI workflows with orchestration, state management, retries, fallbacks, and failure handling; builds APIs connecting AI capabilities to product experiences; and leads a senior engineering team through architectural decisions, reviews, mentorship, and production excellence. Partners with ML leadership to ship scalable, observable, secure, and reliable systems while balancing latency, cost, user experience, and maintainability.