Senior DataOps Engineer (Python)

TL;DR

Senior DataOps Engineer (Python): Building and scaling robust production systems for revenue management with an accent on MLOps, CI/CD, and data pipeline reliability. Focus on bridging the gap between data science models and production infrastructure, ensuring scalability, and optimizing infrastructure as code.

Location: Hybrid role based in Munich, Germany (requires 50% in-office presence)

Company

hirify.global is a rapidly growing vacation rental technology company on a mission to simplify booking and hosting through innovative, data-driven solutions.

What you will do

• Deploy pricing and demand models into production while maintaining serving infrastructure and APIs.
• Build and operate scalable, reliable data pipelines with comprehensive monitoring and alerting.
• Collaborate with Data Scientists and Analysts to bridge the gap between prototypes and production-ready applications.
• Own team infrastructure, CI/CD pipelines, and environment management.
• Implement observability, automated testing, and operational best practices across production systems.
• Ensure high data quality, consistency, and documentation for revenue management metrics.

Requirements

• 4+ years of professional experience in Software, Data, or DevOps Engineering.
• Strong proficiency in Python with an emphasis on writing clean, production-ready code.
• Hands-on experience with CI/CD, Docker, and infrastructure-as-code tools like Terraform.
• Experience with cloud platforms, preferably AWS, and deploying production services.
• Proactive mindset with the ability to take ownership and drive technical solutions forward.
• Fluency in English is expected for this international environment.

Nice to have

• Experience or interest in ML model deployment using tools like MLflow or SageMaker.
• Desire to leverage AI tools and LLM agents for productivity and development.

Culture & Benefits

• Modern tech environment combining scale-up pace with a stable business model.
• Hybrid work setup with 50% in-office collaboration and flexibility for remote work from other locations for up to 8 weeks per year.
• Strong focus on AI and continuous professional learning with dedicated budgets.
• International team of 700+ colleagues from over 60 nations.
• Travel benefits, gym discounts, and regular team events.