Senior DataOps Engineer / Software Engineer - Revenue Management (all genders)

You will anchor the data science-to-production bridge for revenue management, enabling scalable, reliable pricing models. In this role you collaborate with data scientists and engineers to deploy models, build robust data pipelines, and maintain production-grade infrastructure. You will own tooling, monitoring, and data quality to drive measurable impact on occupancy and earnings. This role offers a hands-on, growth-focused environment in a fast-paced, cross-functional team that values experimentation and learning.

• travel benefits
• gym discounts
• personal learning budgets
• mentorship
• hybrid work model
• international colleagues

• Deploy pricing and demand models into production via APIs and serving infra
• Build and operate production data pipelines with end-to-end data flow and monitoring
• Collaborate with Data Scientists, Analysts, and Engineering to turn prototypes into production solutions
• Own infrastructure, CI/CD pipelines, and tooling for the team
• Ensure operational excellence with monitoring, automated tests, and observability
• Migrate and productionize POC code into robust Python applications
• Ensure data quality, consistency, and documentation across revenue metrics and datasets

• 4+ years in Software Engineering, Data Engineering, DevOps, or MLOps
• Strong Python production-quality coding
• Experience with CI/CD, Docker, and infrastructure-as-code (Terraform)
• Familiarity with cloud platforms (AWS preferred) and production deployments
• Exposure to ML model deployment (MLflow, SageMaker or similar) is a plus
• Desire to learn and use cutting-edge LLM tools and agents to boost team productivity
• Proactive, hands-on mindset with ownership and problem-solving drive

• proactive ownership
• collaboration across cross-functional teams
• curiosity and willingness to learn
• Python
• CI/CD
• Docker