Site Reliability Engineer – Data & AI

We produce globally recognized brands and we grow the best business leaders in the industry. Our portfolio includes trusted, quality brands such as Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

• 2+ years of experience in Software Engineering or Data Engineering.
• Experience building ETL/ELT data pipelines.
• Strong software development skills in Python — writing production-quality code.
• Practical experience building with LLMs or AI agents, having shipped solutions using generative AI in production or near-production.
• Working knowledge of cloud services (Azure preferred), including Infrastructure as Code (e.g., Terraform).
• Experience building logging systems in production.

• Build LLM-enabled AI agents that detect, classify, and diagnose issues in data pipelines, enabling automated reasoning and self-healing workflows.
• Collaborate with engineering teams to embed observability, reliability, and resilience from design through to production.
• Build proactive data quality systems with automated checks validating data throughout pipelines.
• Develop logging and monitoring tools that highlight issues before impacting downstream users.
• Investigate failures, identify root causes, and improve systems accordingly.

Employment is exclusively extended on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions. Equal opportunity employer statement included.