Software Engineer

• Design, build, and operate customer-facing AI platform services and product features primarily in Python, while integrating with PHP and Java systems as needed
• Build and evolve agentic harnesses, including agent runtimes, workflow orchestration, tool execution, state management, recovery paths, and evaluation hooks
• Integrate agents and LLM-powered workflows into production systems with strong attention to reliability, correctness, latency, scalability, and cost
• Evaluate models and providers for specific product use cases, using clear success criteria and abstractions that keep the platform flexible as the AI ecosystem evolves
• Own evaluation, tracing, observability, and quality feedback loops for AI features so the team can detect regressions, understand behavior, and improve over time
• Write clean, well-tested, well-documented code and advocate for engineering best practices, test automation, maintainability, and operational excellence
• Collaborate with product, design, data, security, and engineering partners to turn ambiguous AI product opportunities into reliable customer-facing features
• Comfort building, debugging, and operating services that interact with PostgreSQL, SQS, gRPC, and REST APIs, including data models, event streams, service contracts, and versioning
• Contribute as a senior individual contributor through technical leadership, architecture input, pair programming, code reviews, and mentorship, To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications., Remote United States 143K-155K Annually Senior level 143K-155K Annually Senior level Enterprise Web * Fintech * Marketing Tech * Software Design, build, test, deploy, monitor, and support scalable enterprise software across the full lifecycle. Evaluate requirements, estimate effort, identify risks, collaborate with Product Management, conduct code and design reviews, and improve architecture and development practices. The role requires full-stack Java and modern front-end experience, API and event-driven integration expertise, database design, incident response, and CI/CD experience with Docker and Kubernetes. Top Skills: Ai-Assisted Development ToolsApache TomcatCi/CdCSSDockerEvent-Driven IntegrationsGitJava 8+JavaScriptJqueryKubernetesMvcReactRestful ApisSQL DigitalOcean, Design, build, test, and optimize scalable control-plane and data-plane software for cloud networking products. Develop APIs, improve performance, reliability, monitoring, and customer experience, while supporting products end to end. Collaborate across teams, establish engineering and architecture best practices, automate delivery processes, and mentor engineers. The role requires strong Go and distributed-systems experience, networking knowledge, cloud and containerization expertise, and familiarity with technologies such as eBPF, XDP, Kubernetes, and gRPC. Top Skills: ChefCi/CdConsulDnsDockerEbpfGitGoGrafanaGrpcJIRAKafkaKubernetesLightstepPrometheusSQLTemporalVirtualizationXdp DigitalOcean

• 5+ years of software engineering experience building, shipping, and operating production systems
• Strong proficiency with Python in production environments, including APIs, services, tests, debugging, and operational ownership
• Hands-on experience building, integrating, or evaluating agentic systems, agent harnesses, tool orchestration, or LLM-powered workflows
• Experience with agentic frameworks and tooling such as LangChain, LangSmith, LangGraph, or similar platforms (PydanticAI, CrewAI, etc)
• Experience with MCP, vector databases, retrieval patterns, RAG architectures, or AI evaluation platforms
• Comfortable working across a polyglot stack, especially contributing to or integrating with PHP and Java services when the product requires it
• Familiarity with prompt and version management, guardrails, tracing, LLM observability, cost and latency optimization, or human-in-the-loop workflows
• Experience with cloud infrastructure and containerization such as Docker, Kubernetes, and AWS, plus experience working with remote-first, globally distributed teams
• Experience with API-driven design, distributed systems, data modeling, and reliable service boundaries
• Strong knowledge of software best practices, design patterns, performance, security-minded development, and testing across unit, integration, and end-to-end levels
• Excellent problem-solving and debugging skills, especially in complex systems with uncertain or probabilistic behavior
• Good product sense, customer empathy, strong communication, teamwork, ownership, and time management
• Business-level English fluency, verbal and written

Design, build, and operate customer-facing AI platform services and agentic workflows primarily in Python. Develop agent runtimes, tool orchestration, evaluation, observability, and recovery systems while integrating with PHP and Java services. Ensure reliability, scalability, latency, cost efficiency, security, and model quality across production AI features. Collaborate with product, design, data, security, and engineering teams while providing technical leadership, code reviews, mentoring, and architectural guidance. The summary above was generated by AI

What Makes Cloudbeds Unique At Cloudbeds, we’re not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers’ biggest challenges. Since our founding in 2012, we’ve become the World’s Best Hotel PMS Solutions Provider and landed on Deloitte’s Technology Fast 500 again in 2024, but we’re just getting started., Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $140,000 and $180,000 USD. Please note that we maintain high flexibility, and packages above this range will be considered. (The salary is only for US-based candidates)., * Best All-In-One Hotel Management System | HotelTechAwards (2025)

• Overall 10 Best Places to Work

  HotelTechAwards (2025)

• Most Loved Workplace® Certified (2024)
• Top 10 People’s Choice (2024)
• Deloitte Technology Fast 500 (2024)

Discover our Benefits:

• Remote First, Remote Always
• PTO in accordance with local labor requirements
• Fully Paid Parental Leave
• Home office stipend based on country of residency
• Professional development courses in Cloudbeds University
• Access to professional development, including manager training, upskilling, and knowledge transfer, In-Office or Remote Denver, CO, USA 167K-209K Annually Senior level 167K-209K Annually Senior level Artificial Intelligence * Cloud * Software * Infrastructure as a Service (IaaS) Design, build, test, and optimize scalable control-plane and data-plane network services and tools. Develop APIs, improve reliability and performance, support cloud products, establish engineering best practices, collaborate across teams, and mentor engineers. The role focuses on distributed systems, networking, observability, containerization, and production-ready software delivery. Top Skills: ChefCi/CdConsulDnsDockerEbpfGitGoGrafanaGrpcJIRAKafkaKubernetesLightstepPrometheusSQLTemporalXdp

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Behind Cloudbeds’ revolutionary technology is a team of redefining what’s possible in hospitality. We’re 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven’t dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we’re not just watching the future of hospitality unfold - we’re coding it, designing it, writing it, and shipping it. If you’re ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary.