Top Remote Entry Level Software Engineer Jobs in CO

Build and polish complex interactive video-editing features for Studio, including transitions, color grading, element libraries, presets, and customizable keyboard shortcuts. Own frontend-leaning full-stack work from proposal through launch, collaborate in a fast-moving startup environment, and contribute to product decisions and marketing efforts. Deep backend expertise is not required.

Own a greenfield workflow for distributing Studio video projects across languages and aspect ratios. Design complex data-heavy backend systems, define requirements through RFCs, pressure-test data structures, and lead projects from inception through launch with minimal supervision. The role requires product judgment, enterprise-grade usage and account reporting expertise, and backend generalist capabilities. Media or video-processing pipeline experience is a bonus.

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.

Develops operator, customer, and developer-facing dashboards using TypeScript and React. Collaborates with platform engineers and UX teams, integrates with Go microservices through gRPC and REST APIs, implements multi-tenant and role-based interfaces, and applies modern component-driven design. Uses Cypress or Selenium for UI testing and works in Kubernetes environments involving containerization and orchestration.

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 evolve Polar’s finance and monetization platform for AI products. Own product development end-to-end across frontend and backend systems, create intuitive developer experiences, ship reliable software quickly, engage with merchants, and translate feedback into product improvements. The role requires strong technical foundations, product judgment, design sensibility, autonomy, engineering quality, and comfort working across the stack. Payments, billing, developer tools, open-source contributions, and side projects are valued.

The Software Engineer - AI Systems will design and implement systems to coordinate LLMs, build testable software stacks, conduct research, and collaborate with team members to create AI-powered security solutions.

Lead the architecture, technical evolution, and hands-on development of a mission-critical software platform using Java, C++, and AI/ML technologies. Responsibilities include software design, coding, debugging, code reviews, testing, CI/CD, performance optimization, security, technical planning, customer troubleshooting, deployment support, documentation, and engineering leadership. The role requires occasional customer travel and may support critical incidents outside normal business hours.

Develop and deploy Java Spring Boot microservices, REST APIs, automated tests, performance and chaos testing solutions. Manage EKS infrastructure, CI/CD workflows, monitoring, JVM and database optimization, and production support. Migrate TIBCO BW processes to Apache Camel and ActiveMQ Artemis, implementing resilient messaging and standardized exception handling. Maintain API documentation, testing records, and ServiceNow change-management tickets.

Own post-launch bugs, production issues, and enhancements for AI agents and related products. Investigate root causes across logs, code, conversation data, APIs, authentication, telephony, and integrations; implement and test fixes; support customers directly; guide frontline Support Engineers; and build internal tools that improve investigation and resolution speed.

Own production bugs, escalations, and enhancements for AI agent products. Investigate issues across logs, code, conversation data, telephony, integrations, authentication, APIs, and LLM prompting; implement, test, and ship fixes. Support customers directly, coordinate testing, guide frontline support engineers, build internal investigation tools, and relay feedback to Product while meeting SLAs.