SR Cloud Engineer

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 fast-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 Experience with Python and ideally on GCP Ability to work independently on complex, ambiguous tasks and structure your own approach to solving them Curiosity and adaptability, comfortable operating in a fast-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 environments 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