Software Engineer within Revenue Management

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 -

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

Senior Software Engineer - Revenue Management (all genders)Holidu is one of the world's fastest-growing vacation rental technology companies. Our mission is to make booking and hosting holiday homes free of doubt and full of joy, by helping hosts generate more bookings with less work and helping guests find a holiday home they truly enjoy. Our team of 700 colleagues from 60+ nations shares a passion for tech, an ambition for constant improvement, and a relentless drive to bring the best experience to more than 40k vacation rental hosts and 4 million annual guests.Your future teamYou'll be part of our new Dynamic Pricing & Revenue Management team, working alongside a Data Scientist and a Data Analyst. Together, you will work towards one core goal: helping hosts improve occupancy and earnings through a smart, dynamic, and data-driven pricing strategy.You'll work with modern tooling, a cross-functional team, and teammates who care deeply about impact, collaboration, and learning together.Our Tech StackData Pipelines: Airflow + dbt-core, powered by Python, for fast, reliable workflows.Data Storage & Querying: S3, Redshift (with decentralized data sharing), Athena, and DuckDB.ML & Model Serving: MLflow, SageMaker, and deployment APIs for model lifecycle management.Cloud & DevOps: Terraform, Docker, Jenkins, and AWS EKS (Kubernetes) for scalable, resilient systems.Monitoring: ELK, Grafana, Looker, OpsGenie, and in-house tools for full visibility.Ingestion: Kafka-based event systems and tools like Airbyte and Fivetran for smooth third-party integrations.Automation & AI: Extensive use of AI tools like Claude, Copilot, and Codex.Your role in this journeyAs a Software Engineer within Revenue Management, you'll be the engineering backbone that enables our Data Scientists to move from experimentation to production. You bridge the gap between data science models and reliable, culture that thrives on curiosity and feedback. You'll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets - with a strong focus on AI.Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts - people we can all relate to - making work meaningful and energizing.Technology: Work in a modern tech environment. You'll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You'll stay connected through regular events and meet-ups across our almost 30 offices.Perks on Top: Of course, we also offer travel