Top Remote Entry Level Software Engineer Jobs in CO

Leads and coaches a team building and maintaining integrations between a cybersecurity platform and third-party technologies. Responsibilities include technical design reviews, code reviews, troubleshooting, direct engineering contribution, delivery planning, stakeholder collaboration, process improvement, and team development. The manager balances new integrations, maintenance, customer needs, and technical debt while promoting reliable engineering practices and practical use of AI-assisted development tools.

Lead the engineering department, develop and empower engineers, establish systems and guardrails for reliable delivery, improve workflows, maintain technical involvement, and set metrics that drive productivity and impact. The role partners closely with Product, supports high-impact decisions, and builds a culture of trust, psychological safety, ownership, and clear communication.

Develop scalable, automated software that improves product and platform security. Build and maintain full-stack applications, including front-end interfaces, application frameworks, data management, analytics, and visualization tools. Provide performance insights to customers and internal teams, research relevant technologies, and collaborate with multidisciplinary teams to deliver effective solutions.

Develop, deploy, and support enterprise UiPath RPA and intelligent automation solutions. Build attended and unattended bots, integrate APIs, SQL databases, enterprise applications, and cloud services, and incorporate Document Understanding, GenAI, LLMs, RAG, and agentic AI. Responsibilities include testing, troubleshooting, monitoring, production support, documentation, governance, security, compliance, and reusable component development.

Talent community opportunity for future technical roles at RapidSOS. Potential responsibilities include developing and supporting life-saving technology, collaborating with Product on public safety solutions, leading or supporting engineers, owning strategic initiatives, and improving tools and processes. Candidates should be collaborative, self-motivated, adaptable, detail-oriented, eager to learn and leverage AI, and comfortable in a fast-paced startup environment.

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.

Develop and maintain internal applications and AI agents using Microsoft Power Platform, APIs, databases, Copilot Studio, and Azure. Support Agile delivery, automated testing, enterprise integrations, conversational AI, intelligent automation, security and compliance standards, performance monitoring, documentation, and cross-functional solution design. The role is remote with occasional travel and offers foundational development experience.

Builds simulation infrastructure and software-in-the-loop sensor simulation products that help customers test and validate autonomous driving, drone delivery, eVTOL, robotics, and other physical AI systems safely at scale.

Own products and features end to end, from user research and ideation through MVP launches, iteration, pricing, and ongoing success. Build full-stack experiences, collaborate with design, support customers, resolve production issues, participate in on-call rotations, and write documentation. The role emphasizes autonomous product development, agent-facing software, AI-native products, and rapid shipping.

Lead a team of engineers delivering product content and capabilities, including scripts, data sources, application catalogs, updates, vulnerability data, and reports. Own scalable automation pipelines for content generation, validation, and deployment; guide technical decisions from design through production; improve reliability and efficiency; and apply AI to content creation and delivery. Requires strong software engineering fundamentals, production systems experience, Node.js, JavaScript, TypeScript, Python, and AWS expertise.