Job Description

How will you make an impact

You will be a core member of the Customer Recommender team within Metro Digital’s AI & Automation unit. Working at the intersection of cloud infrastructure and emerging AI technologies, you develop, deploy, and maintain the GCP-based solutions that powers Metro’s AI and automation initiatives. Your work directly enables your product team to bring ideas to production and keep them running reliably in a rapid-moving field.

Your responsibilities
Design and implement cloud infrastructure on Google Cloud Platform (GCP) following architectural best practices for elastic, resilient, and lean systems
Automate infrastructure provisioning and configuration using Terraform, ensuring repeatable and auditable deployments
Deploy, operate, and maintain AI/ML workloads and services built on GCP
Take end-to-end ownership of bringing systems live, from initial setup through production rollout and ongoing operations
Monitor, alert, and respond to incidents; apply change and problem management practices to maintain service reliability
Identify and drive improvement opportunities proactively within the team and across the platform
Collaborate with internal stakeholders and external vendors on cloud implementations and governance topics




Contribute to cloud governance standards and ensure compliance within the team’s scope
Potentially act as a buddy or point of contact for less experienced team members in your discipline

Required key competencies and qualifications
Hands-on experience with Google Cloud Platform (GCP), designing, deploying, and operating cloud infrastructure
Proficiency with Terraform for infrastructure-as-code in real-world, production environments
Proven track record of taking systems from development to live production and maintaining them operationally
Ability to work independently on complex, ambiguous tasks and structure your own approach to solving them
Curiosity and adaptability, comfortable operating in a quick-moving field, learning continuously, and adjusting course quickly
Solid understanding of cloud architecture principles: availability, resilience, and lean system design
Familiarity with monitoring and observability tooling in cloud settings
Good communication skills to align with technical and non-technical stakeholders

Nice-to-have
Experience with AI/ML platforms or workflows, ideally on GCP
Background in software development, ability to write and read code, automate tooling, and build APIs

📌 Sr Cloud Engineer Kharadi
🏢 METRO Global Solution Center IN
📍 Kharadi