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
• 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 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