GCP Cloud Engineer

About us:

Metro Global Solution Center (MGSC) is internal solution partner for METRO, a €29\.8 Billion international wholesaler with operations in 32 countries through 625 stores \& a team of 91,000 people globally. Metro operates in a further 10 countries with its Food Service Distribution (FSD) business and it is thus active in a total of 34 countries.

MGSC, location wise is present in Pune (India), Düsseldorf (Germany) and Szczecin (Poland). We provide HR, Finance, IT \& Business operations support to 31 countries, speak 24\+ languages and process over 18,000 transactions a day. We are setting tomorrow’s standards for customer focus, digital solutions, and sustainable business models. For over 10 years, we have been providing services and solutions from our two locations in Pune and Szczecin. This has allowed us to gain extensive experience in how we can best serve our internal customers with high quality and passion. We believe that we can add value, drive efficiency, and satisfy our customers.

Website: https://www.metro-gsc.in

Company Size: 600-650

Headquarters: Pune, Maharashtra, India

Type: Privately Held

Inception: 2011

Job Description

Job Title: Cloud Engineer Product: AI Products

Squad: AI \& Automation

About The Role

We are looking for an internal candidate with a strong understanding of our Cloud Foundations standards to join the AI Products initiative.

In this role, you will help build and operate new AI-driven applications on Google Cloud Platform (GCP) to support Metro use cases and business requirements. You will work within established cloud standards while contributing to the development of scalable, reliable, and production-ready AI products.

This is an excellent opportunity for someone who wants to grow beyond traditional infrastructure responsibilities and move toward a more developer-oriented role, working at the intersection of cloud, automation, and AI.

Responsibilities

• Help design, build, and support AI Products on GCP aligned with Cloud Foundations standards
• Contribute to developing solutions for Metro application use cases and business requirements
• Work with Terraform using internal infrastructure frameworks
• Design and maintain CI/CD pipelines using GitHub Actions
• Collaborate closely with developers and product teams to deliver AI-enabled features
• Ensure reliability, scalability, and adherence to internal cloud guidelines
• Support integration of AI capabilities into applications and workflows

Required Skills

• Strong understanding of internal Cloud Foundations standards and practices
• Experience working with Google Cloud Platform (GCP)
• Hands-on experience with Terraform
• Experience with CI/CD pipelines
• Familiarity with GitHub Actions
• Strong collaboration and communication skills
• Willingness to learn and evolve toward development and AI-focused work

Qualifications

Nice to Have

• Experience with Python
• Exposure to or interest in AI / Machine Learning
• Interest in transitioning toward a developer or platform engineering role

What We’re Looking For

• Internal candidate familiar with our cloud ecosystem and standards
• Someone motivated to build AI-driven products, not just manage infrastructure
• A team player who enjoys working across engineering and product teams
• Curiosity and a proactive learning mindset

What You’ll Gain

• Opportunity to build AI products for real Metro use cases
• Hands-on experience with modern GCP, CI/CD, and infrastructure tooling
• Exposure to AI-driven development and product integration
• A collaborative environment focused on innovation and learning