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Apaleo

API-first cloud platform for hospitality management

Staff Backend Engineer - Platform

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 8 years of backend development experience, including several years in a staff-level or technical leadership role.
  • Strong engineering fundamentals that transfer across programming languages and cloud platforms.
  • A track record of owning large technical initiatives from ambiguity through completion, ideally on a platform or infrastructure team rather than a pure product team.
  • Experience designing and scaling distributed systems in cloud-native environments; AWS is preferred, while strong Azure fundamentals and enthusiasm for switching platforms are also suitable.
  • Comfort working with containerised services and infrastructure-as-code, including Docker and Terraform; CloudFormation experience is relevant.
  • Ability to write unit and integration tests.
  • Fluency in English.

Responsibilities

  • Architect and develop scalable, reliable, and maintainable backend systems.
  • Identify and scope problems and initiatives, independently assessing impact, prioritisation, and timing rather than only executing assigned tickets.
  • Lead architectural decisions and design discussions with cross-team alignment.
  • Drive large, ambiguous, cross-cutting initiatives end to end, coordinating with multiple stakeholders.
  • Mentor engineers and drive technical excellence.
  • Build and maintain internal tools and infrastructure, including AWS and Terraform, to help teams deliver faster and more reliably.
  • Own observability, logging, and operational excellence to keep the platform highly available.
  • Participate in on-call rotations and respond to incidents as a problem solver.
  • Identify opportunities for AI and automation to improve engineering.
  • Solve horizontal write-scaling for the database.
  • Modernise the CI/CD pipeline for faster, more reliable delivery.
  • Migrate infrastructure-as-code from CloudFormation to Terraform, including enabling an Apaleo environment to be recreated from scratch.
  • Extract and rework common services, such as shared schedulers, to prepare for increased scale.

Desired Qualifications

  • Direct experience with C# (.NET), PostgreSQL, AWS, and ECS or Kubernetes.
  • Experience setting up and using infrastructure-as-code day to day, ideally Terraform, including migration or consolidation from other approaches such as CloudFormation.
  • Experience with Kafka or other event-driven and streaming systems; Azure Service Bus experience is a transferable equivalent.
  • Hands-on experience with AI-assisted development tools such as GitHub Copilot, Cursor AI, ChatGPT, or Amazon CodeWhisperer, and interest in AI-driven engineering improvement.
  • Collaboration and communication skills, particularly when introducing new technology such as AI tooling to other teams.

About the Company

Apaleo

API-first cloud platform for hospitality management

Apaleo provides a cloud-based hospitality platform with an open, API-first design that helps hotels and other accommodation providers manage operations and connect with partners. The platform uses a subscription-based SaaS model with pricing per property unit and adds value through services like Apaleo Pay for payments and the Agent Hub to link properties with travel agents. It runs on a microservices, cloud-native, headless MACH architecture, enabling scalable customization and easy integration with third-party apps such as door locks, guest messaging, and revenue management tools. Unlike many competitors, Apaleo focuses on an open ecosystem and seamless integrations, allowing properties to tailor the system to their needs. The company’s goal is to empower hospitality businesses to operate efficiently and grow by using a flexible, interoperable platform that connects core property management with a wide range of external services.

Company size
51-200
Company stage
Series B
Total funding
$31.9M
Headquarters
Munich, Germany
Founded
2017

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