Site Reliability Engineer – Data & AI

Procter & Gamble; Warszawa; Hybrid; PLN 140,000 - 210,000; Full time

Benefits offered by this job

Hybrid work model

Training and certifications paths

Private health care

P&G stock

Saving plans

Sport cards

Job summary

Procter & Gamble in Warsaw is seeking a Site Reliability Engineer to build AI-powered systems that keep data pipelines running at scale. You will write production-grade Python and develop automation that reduces manual toil.

You will collaborate with engineering teams to embed observability, reliability, and proactive data quality checks from design through production, with a hybrid work arrangement and opportunities to grow within a global consumer goods leader.

Qualifications

• 2+ years in software or data engineering.
• Experience building ETL/ELT data pipelines.
• Proficient Python with production-quality code.
• Hands-on with LLMs or AI agents in production.
• Cloud services (Azure) and Infrastructure as Code (Terraform).
• Experience building logging systems in production.

Responsibilities

• Build LLM-enabled AI agents to diagnose data pipelines.
• Collaborate with engineering teams to embed observability and reliability.
• Build proactive data quality systems with automated checks.
• Build logging and monitoring tooling to surface issues early.
• Investigate failures, identify root causes, and improve systems.

Skills

Python

AI/LLMs

ETL pipelines

Cloud services

Observability

Logging

Tools

Terraform

Azure

Job description

Job Description

We are looking for a Site Reliability Engineer who builds things — AI agents, automations, and tools that keep our enterprise data pipelines running at scale. If you write production-quality code and are excited by the challenge of building AI-powered systems, we want to hear from you.

Job Location

WARSAW DOWNTOWN OFFICE

Job Description

We are looking for a Site Reliability Engineer who builds things — AI agents, automations, and tools that keep our enterprise data pipelines running at scale. If you write production-quality code and are excited by the challenge of building AI-powered systems, we want to hear from you.

Key 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 — not add it after things break.
• Build proactive data quality systems — automated checks that validate data as it flows through pipelines, catching issues before they reach consumers.
• Build 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.

Job Qualifications

• 2+ years of experience in Software Engineering or Data Engineering.
• Experience building ETL/ELT data pipelines.
• Strong software development skills in Python — you write production-quality code.
• Practical experience building with LLMs or AI agents; you have shipped something that uses 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.

We offer

• 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 your results and performance.
• Opportunity to change role every few years to be in the best place for you and best for P&G.

At Procter & Gamble we embrace a hybrid work model that combines the flexibility of remote work with the collaborative benefits of in-office engagement. Employees can enjoy the option to work from home two days a week while also spending time in the office to foster teamwork and enhance communication.

Watch this video to learn more about our full recruiting process: https://www.youtube.com/watch?v=0bicvbpy0gI

About Us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders can lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.

Job Schedule

Full time

Job Number

R000157214

Job Segmentation

Experienced Professionals