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# Platform Engineer - Pi-Engineer

- **Company:** GlobalLogic Inc.
- **Location:** Slough, UK
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, DevOps, Python (Programming Language), Software Engineering, TypeScript, Delivery Pipeline, Infrastructure as Code (IaC), Kubernetes, Infrastructure Automation Frameworks, Production Code, Virtual Agents, Terraform
- **Published:** July 29, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/x/41901713/

## About the Role

About you (ideally):The Technical Foundation:* The Core: A strong background in Software Engineering, which evolved naturally into DevOps, Test Automation, and ultimately Cloud/Platform Engineering.* The Stack: Proficient in Python and TypeScript (Java is a strong plus).* The AI Flex: If you are an AI power-user who can rapidly adapt to new languages using AI assistance, we are highly flexible on your core language stack.* Platform Ecosystems: Hands-on experience with Spotify Backstage (or similar developer portals) is a massive advantage.* Cloud & DevOps: Deep knowledge of AWS, Azure, or GCP, alongside modern CI/CD, Kubernetes, and Infrastructure as Code (Terraform).The Consultant Mindset:* Spot-on Communication: Exceptional verbal and written communication skills. You can explain complex cloud architecture to a Developer and business value to a stakeholder.* Versatility: You thrive in ambiguity and enjoy changing contexts. You see yourself as a

## Description

About the role: * Consultative Delivery: Act as a trusted advisor to clients. You'll switch seamlessly between hands-on engineering, technical mentoring, and strategic value-add/pre-sales conversations.* Platform & Ecosystem Building: Design and scale internal developer platforms (IDPs). A major focus will be leveraging tools like Spotify Backstage to improve developer experience (DevX) for our clients.* Hands-on Engineering: Write clean, production-ready code while simultaneously establishing robust DevOps pipelines, infrastructure as code (IaC), and automated testing strategies.* Drive the AI-Native Mission: Actively use, experiment with, and champion AI-assisted development tools. You will help clients understand how to safely and effectively integrate AI into their engineering workflows


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