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# Software Engineer within Revenue Management

- **Company:** Holidu GmbH
- **Location:** München, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Automation of Tests, Continuous Integration, Information Engineering, DevOps, Python (Programming Language), Machine Learning, Software Engineering, Data Streaming, Large Language Models, Machine Learning Operations, Terraform, Docker
- **Published:** August 23, 2026
- **Apply:** https://www.jobfinder.de/job/senior-software-engineer-revenue-management-all-genders/

## About the Role

we're looking for strong fundamentals, ownership, and the motivation to grow.4+ years of experience in Software Engineering, Data Engineering, DevOps, or MLOps.Strong hands-on skills in Python - you write clean, production-quality code.Experience with CI/CD, Docker, and infrastructure-as-code (e.g., Terraform).Familiarity with cloud platforms (AWS preferred) and deploying services in production.Exposure to or interest in ML model deployment (MLflow, SageMaker, or similar) is a strong plus.Desire to learn and use cutting-edge LLM tools and agents to improve your and the entire team's productivity.A proactive, hands-on mindset: you take ownership, spot problems, and drive solutions forward.Our adventure includesImpact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters - and you'll see the impact.Learning: Grow professionally in a

## Description

scalable production systems.You will:Support model deployment and serving: help deploy pricing and demand models into production, building and maintaining APIs and serving infrastructure.Build and operate production pipelines: ensure data flows reliably from source to model to output, with proper monitoring and alerting.Collaborate cross-functionally: work closely with Data Scientists, Analysts, and Engineering teams to turn prototypes into production-ready solutions.Own infrastructure and tooling: set up and maintain the environments, CI/CD pipelines, and infrastructure that the team depends on.Ensure operational excellence by implementing monitoring, automated testing, and observability across the team's production systems.Migrate and productionize POC: turn experimental code into robust, maintainable Python applications.Ensure data quality, consistency, and documentation across revenue management metrics and datasets.Your backpack is filled withYou don't need to meet every requirement -


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