Top Remote Entry Level Software Engineer Jobs in CO

Design and scale a feature flagging and A/B testing platform, including high-throughput event ingestion, warehouse-native analytics, real-time feature flag delivery, multi-database SQL support, and distributed systems infrastructure. The role involves full-stack development, architecture, performance optimization, reliability engineering, and technical product influence within a remote startup team.

Build and operate Origin’s AI observability platform across data-collection agents, backend services, infrastructure, inference pipelines, APIs, and React interfaces. Design distributed systems using AWS, EKS, ClickHouse, and Kafka for high-throughput, multi-tenant production workloads. Develop internal coding agents and define AI-native engineering practices while making decisions around storage, APIs, performance, and reliability.

Build and maintain scalable JavaScript applications, API integrations, and open-source projects for global clients. Responsibilities include writing and reviewing code, debugging across frontend, backend, database, and network layers, optimizing performance, designing scalable architectures, handling concurrency, documenting technical work, and addressing edge cases. The role is fully remote and includes structured technical growth, peer feedback, and an assessment process involving an OSS hackweek.

Hands-on fellowship for university students and recent graduates interested in AI, backend engineering, cloud infrastructure, and software delivery. Fellows may research technology trends, build internal tools and automation workflows, explore LLM-powered agents, prototype backend or cloud solutions, and prepare technical documentation and client-readiness materials. The role emphasizes ownership, reliability, clear technical communication, and practical project experience.

Participate in a paid remote interview about AI-assisted software engineering. Discuss your development workflow, use of coding assistants such as Copilot, Cursor, or Claude Code, model comparisons, debugging practices, prompt strategies, and challenges with generated code.

EHRI Engineer II role at Brown University Health, working remotely from Rhode Island during weekday daytime hours. The provided description does not include specific responsibilities, required qualifications, technologies, travel expectations, or security clearance requirements. The position offers an annual salary range of $90,729.60 to $149,697.60.

Design and build complex customer-facing product features, own technical decisions, contribute to architecture and technical direction, uphold code quality, mentor engineers, and support production incidents. The role collaborates closely with Product and Design across a modern web stack including React, TypeScript, Node.js, .NET, relational databases, and Microsoft Azure.

Develop and maintain backend services and APIs for Twilio’s communications platform. Responsibilities include designing, deploying, operating, and reviewing software, supporting production operations and on-call rotations, collaborating with a small engineering team, and writing technical documentation. The role requires Go or Java experience and values familiarity with DynamoDB, AWS, Docker, Kubernetes, and Temporal.

Lead technology initiatives that transform logistics processes into scalable automation. Set technical direction, coach engineers, identify opportunities for tools and integrations, improve decision-making workflows, and guide AI-native systems from concept through practical implementation. The role operates across data, applications, integrations, automation, and human-in-the-loop AI workflows while maintaining team focus and delivery momentum.

Lead hands-on software engineering and architecture across multiple teams, designing and delivering Angular and .NET applications, APIs, integrations, cloud solutions, and reusable engineering platforms. Modernize legacy systems, improve reliability and security, troubleshoot production issues, strengthen CI/CD and testing, and mentor engineers. Establish practical AI-assisted development practices and customer-facing AI capabilities with appropriate security, validation, traceability, and human oversight.