Senior DevOps Engineer

At Bayer, we are committed to transparency, equal pay for equal work or work of equal value, and objective reward practices in line with EU and local regulations. The minimum monthly gross compensation for this role is 20 240 with final pay determined based on objective factors such as experience, qualifications, scope of responsibility, and internal alignment.

This position is eligible for variable pay components, such as performance‑based bonuses, awarded in accordance with the applicable employee group, role scope, and compensation structure.

In addition, Bayer offers a competitive and holistic benefits package, including:

- Medical care above statutory requirements

- Flexible benefits supporting leisure, and well‑being/sports programs

- Life, accident, and disability insurance through group coverage

- Employer‑supported pension plans with regular company contributions

- Home office allowance to support hybrid or remote work

- Extra Paid Holidays

Benefits may vary depending on country, role, and employment conditions.

For Digital Hub Warsaw, we are looking for:

Senior DevOps Engineer

Brilliant data analytics and AI solutions mean nothing if they never reach the people who need them – reliably, at scale, and on time. You will be part of Bayer Consumer Health's ambitious Data assets, analytics and AI team: taking our solutions from proof of concept to fully operationalized, production-grade systems that serve commercial, marketing, product supply, and science domains worldwide. Your focus is deploying, orchestrating, and operating workloads on our Azure based cloud platform so that every model, pipeline, and application runs smoothly, scales effortlessly, and recovers gracefully. From configuring CI/CD pipelines that accelerate time to market, to implementing monitoring and reliability strategies that keep production systems healthy – you will be the person who ensures our data analytics and AI capabilities actually land in the hands of the business. This is a high-impact, operations-meets-engineering role, and the deployment and operationalization decisions you make will determine how fast and how reliably AI-driven value reaches the entire organization.

• Master's or PhD degree with 5+ years of experience in DevOps, MLOps, ML/AI Engineering, Software Development, or related fields
• Proven background in at least one of: Machine Learning, statistics, mathematics, computer science, or related quantitative/engineering disciplines
• Proficiency in CI/CD pipeline design, solution orchestration, and performance tuning
• Strong engineering skills in Python, SQL, PowerShell, Docker, GitHub Actions, and Bash
• Proficiency with Azure's web application stack – particularly Azure Container Apps, Azure Functions, PostgreSQL, and Redis
• Good understanding of the Linux operating system
• Good understanding of deploying workloads to Azure Databricks and Azure Data Factory
• Proven track record of developing advanced analytics products or backend applications within a cloud environment
• Strong problem-solving and analytical skills with a pragmatic, production-first engineering mindset
• Fluent in English, both written & spoken

Nice-to-Have

• Experience with machine learning, generative AI, forecasting, or mathematical optimization
• Experience with AI observability, monitoring frameworks, and automated testing
• Experience with Infrastructure as Code (e.g. Terraform, ARM Templates)
• Experience with usage of AI tools to increase own productivity
• Understanding of semantic layer and data management concepts for enterprise data
  
  

Why This Role Is Different

• End-to-end delivery – you impact the full journey from experimentation to production, ensuring AI solutions are reliably delivered and maintained at scale
• Cutting-edge AI products – you operationalize solutions spanning generative AI, multi-agent systems, machine learning, mathematical optimization, and NLP
• Organisation-wide reach – the solutions you build will serve diverse business personas across commercial, marketing, product supply, and R&D globally
• Modern tech stack – Azure Container Apps, Databricks, GitHub Actions, Python, Docker, and cloud-native architecture at enterprise scale
• A team that invests in you – career development, coaching, mentoring, knowledge-sharing, and a modern Warsaw office with a team that spans Poland, India and Germany