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Cloudbeds

Senior Software Engineer

Cloudbeds

. Design, build, and operate customer-facing AI platform services and product features primarily in Python, integrating with PHP and Java systems as needed .

Posted 11/4/2026full-timeRemote • United StatesSenior💰 $140,000 - $180,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong proficiency in Python for building and operating customer-facing AI platform services, with expertise in integrating agentic systems and workflows. Possesses a solid understanding of software best practices, operational excellence, and collaboration across cross-functional teams.

Highest-signal resume keywords
Python ProficiencyAgentic Systems IntegrationAPI-Driven DesignDocker and Kubernetes ExperienceSoftware Best Practices

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
PythonAPIsAgentic FrameworksLangChainLangSmithPostgreSQLDockerKubernetesDistributed SystemsTesting
Soft Skills
Problem-SolvingCommunicationTeamworkOwnershipTime Management
Tools & Technologies
AWSSQSGRPCREST APIsMCPVector DatabasesRAG ArchitecturesLLM ObservabilityHuman-in-the-Loop WorkflowsPrompt Management
Industry Keywords
AI Evaluation PlatformsOperational ExcellenceSoftware EngineeringProduction SystemsPolyglot Stack

Tech Stack

Tools & technologies
AWSDistributed SystemsDockerGRPCJavaKubernetesPHPPostgresPython

About the role

Key responsibilities & impact
  • Design, build, and operate customer-facing AI platform services and product features primarily in Python, 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 attention to reliability, correctness, latency, scalability, and cost
  • Evaluate models and providers for specific product use cases
  • Own evaluation, tracing, observability, and quality feedback loops for AI features
  • Write clean, tested, 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 AI product opportunities into reliable customer-facing features
  • Build, debug, and operate services interacting with PostgreSQL, SQS, gRPC, and REST APIs
  • Contribute through technical leadership, architecture input, pair programming, code reviews, and mentorship

Requirements

What you’ll need
  • 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, PydanticAI, or CrewAI
  • Experience with MCP, vector databases, retrieval patterns, RAG architectures, or AI evaluation platforms
  • Comfortable working across a polyglot stack, especially PHP and Java services
  • Familiarity with prompt and version management, guardrails, tracing, LLM observability, cost and latency optimization, or human-in-the-loop workflows
  • Experience with Docker, Kubernetes, AWS, and 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 unit, integration, and end-to-end testing
  • Excellent problem-solving and debugging skills
  • Good product sense, customer empathy, communication, teamwork, ownership, and time management
  • Business-level English fluency, verbal and written
  • Applicants must be currently authorized to work in the location where the position is located without requiring visa sponsorship

Benefits

Comp & perks
  • 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
  • Reasonable accommodations in the hiring process for persons with disabilities