Top Remote Entry Level Software Engineer Jobs in CO

Leads more than 10 engineers across Agent Tools, Agent Observability, and Runner Execution. Responsibilities include hiring, coaching, prioritization, technical design, AI tool standards, safe agent execution, sandboxing, observability, and cross-functional partnership across GitLab’s AI organization.

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.

Lead development of high-performance Rust parsers, compilers, automata, indexes, and data structures for structured language-model generation. Optimize decoding-loop performance through profiling and benchmarking, integrate Python bindings and C++/CUDA components into inference engines, collaborate across teams, and maintain production-quality code through testing and CI/CD.

Develop high-performance parsers, compilers, and data structures that constrain LLM decoding according to schemas, grammars, policies, and function definitions. Research parser, compiler, and symbolic methods; write reliable, efficient code; and optimize implementations through rigorous testing and automation. The role requires professional Python expertise, lower-level programming experience, strong formal language knowledge, and clear written communication. It is fully remote with at least three hours of daily overlap with Eastern Time business hours.

Lead the full software development lifecycle for internal and customer-facing observability systems. Design, build, deploy, support, and optimize scalable distributed systems and high-throughput data pipelines. Own reliability, performance, testing, documentation, and production readiness; participate in on-call support. Mentor engineers, lead design reviews, investigate incidents, and collaborate with stakeholders to develop effective tooling across the Temporal ecosystem.

Develop ServiceNow customer applications for work order management, scheduling, and dispatch. Collaborate with stakeholders and technical SMEs, enhance event rules and CMDB binding, configure Discovery and Service Mapping, manage MID servers, build integrations using REST APIs, prevent duplicate CIs, and migrate and configure custom discovery and application patterns across environments.

The role involves designing, developing, and maintaining software applications. Collaboration with cross-functional teams is expected, alongside optimizing existing systems.

Designs, builds, operates, and supports backend services powering an enterprise AI platform. Responsibilities include developing APIs, AI gateway and orchestration capabilities, entitlements, tenancy models, data access patterns, integrations, and platform services. The engineer owns services throughout design, implementation, testing, deployment, monitoring, reliability, and support while collaborating with client product, engineering, data, and platform stakeholders.

Build and maintain customer-facing and administrative experiences for an enterprise AI platform. Develop front-end interfaces, APIs, backend integrations, and supporting services across the full stack. Own features from customer problem discovery through production delivery while partnering with product, design, platform engineering, and clients. Ensure usability, accessibility, performance, automated test coverage, reliability, and maintainability in a remote, client-facing consulting environment.