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.