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# Software Engineer

- **Company:** The Cloudbeds
- **Location:** Denver, CO, United States (Remote available)
- **Experience:** Expert
- **Salary:** $140,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** PHP (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Cloud Computing, Code Review, Continuous Integration, Database Design, Software Debugging, Software Design Patterns, Distributed Systems, Infrastructure as a Service (IaaS), Java Web Services, Python (Programming Language), PostgreSQL, Network Service, Pair Programming, Software Product Management, Cloud Services, Digitalocean, Software Engineering, Systems Integration, Management of Software Versions, Enterprise Software Applications, Computer Network Technologies, Large Language Models, Containerization, Kubernetes, Enterprise Integration, Front End Software Development, Api Design, Restful APIs, Amazon Simple Queue Service (SQS), Grpc, Software Version Control, Docker
- **Published:** September 24, 2026
- **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/senior-software-engineer/11346099

## About the Role

* 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

## Description

* 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


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