Site Reliability Engineer – Data & AI

Quick Facts

Site Reliability Engineer role focused on building LLM-enabled AI agents, automations, and tools to keep enterprise data pipelines running at scale. Hybrid work model: option to work from home two days a week while spending time in the office for teamwork and communication.

Description

Build things that keep our enterprise data pipelines running at scale by using production-quality engineering and AI-powered systems to detect issues and enable self-healing workflows.

Responsibilities

• Build LLM-enabled AI agents that detect, classify, and diagnose issues in data pipelines—replacing manual investigation with 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 that validate data as it flows through pipelines, catching issues before they reach consumers.
• Develop logging and monitoring tooling that automatically surfaces issues before they impact downstream users, making failures visible and debuggable.
• Investigate failures, identify root causes, and turn learnings into better systems.

Requirements

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

Benefits

• P&G-sized projects and access to world leading IT partners and technologies from Day 1.
• Wide range of self-development possibilities (training and certifications paths).
• Competitive starting salary and benefits program (private health care, P&G stock, saving plans, sport cards).
• Regular salary increases and possible promotions in line with results and performance.
• Opportunity to change role every few years to be in the best place for you.
• Hybrid work model: remote flexibility plus in-office collaboration (option to work from home two days a week).