Holidu

Senior Software Engineer - Revenue Management (all genders)

Stellenbeschreibung:

Overview

In this role you will bridge data science and production, enabling dynamic pricing and revenue optimization at Holidu. You’ll deploy pricing models, own data pipelines and serving infrastructure, and collaborate with data scientists and engineers to scale production solutions. You help ensure data quality, observability, and robust deployments while exploring cutting-edge AI tooling to boost team productivity. This is a chance to impact millions of hosts and guests through data-driven pricing at scale.

Leistungen / Benefits
  • hybrid work
  • up to 8 weeks remote per year
  • travel benefits
  • gym discounts
  • mentorship
  • personal learning budgets (AI focus)
Verantwortungsbereiche
  • Deploy pricing and demand models into production, building and maintaining APIs and serving infrastructure
  • Build and operate production data pipelines with reliable data flow and monitoring
  • Collaborate with Data Scientists, Analysts, and Engineering teams to turn prototypes into production-ready solutions
  • Own infrastructure and tooling, including CI/CD pipelines and supporting environments
  • Ensure operational excellence with monitoring, automated testing, and observability across production systems
  • Migrate experimental code into robust, maintainable Python applications
  • Ensure data quality, consistency, and documentation across revenue management metrics and datasets
Zentrale Anforderungen
  • 4+ years in Software Engineering, Data Engineering, DevOps, or MLOps
  • Strong hands-on Python production-quality coding
  • Experience with CI/CD, Docker, and infrastructure-as-code (Terraform)
  • Familiarity with cloud platforms (AWS preferred) and deploying services in production
  • Exposure to ML model deployment (MLflow, SageMaker, or similar) a strong plus
  • Willingness to learn and use cutting-edge LLM tools and agents
  • Proactive, hands-on mindset with ownership and problem-solving drive
  • ownership
  • proactive mindset
  • cross-functional collaboration
  • Python production-quality code
  • CI/CD
  • Docker
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Stelleninformationen

  • Veröffentlichungsdatum:

    14 Sep 2026
  • Standort:

    München

    Einsatzort:

    Hamburg
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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