- Build and maintain Python backend services and recommendation APIs consumed by internal products, ensuring reliable performance, scalability, and maintainability.
- Design and maintain GitHub Actions CI/CD pipelines and reusable workflows, enabling frequent deployments and controlled, manually approved production releases.
- Own observability and operational reliability with Datadog dashboards, logs, monitors, and alerts; investigate incidents and implement sustainable fixes.
- Ensure pragmatic security, cost awareness, and compliance with corporate standards, working with platform, security, and other corporate stakeholders.
- Contribute to code reviews, technical planning, architecture decisions, runbooks, and knowledge sharing within the squad.
- Challenge over-engineered solutions, including AI-generated proposals, and favor the simplest design that safely meets business needs.
- Design, provision, and continuously improve Google Cloud infrastructure using Terraform, including Cloud Run, GKE, Cloud SQL/PostgreSQL, IAM, and networking.
- Lead the simplification of the platform.
Required key competencies and qualifications:
- Proven senior-level experience developing and operating backend services and cloud infrastructure in production, with strong individual ownership;
- Deep hands-on expertise in Google Cloud Platform (GCP), particularly Cloud Run, GKE, Cloud SQL/PostgreSQL, IAM, and networking;
- Strong Terraform knowledge, including modules, state management, infrastructure repository design, and safe refactoring; familiarity with Terragrunt;
- Advanced Python programming skills and practical experience developing and maintaining APIs and microservices;
- Hands-on experience with GitHub, GitHub Actions, reusable CI/CD workflows, secrets management, and production deployment controls;
- Experience with production observability, monitoring, incident response, and troubleshooting, preferably using Datadog;
- Excellent collaboration and communication skills, including working across engineering, Data Science, Data Engineering, and platform teams, with a strong documentation habit;
- Very good fluency in English (written and verbal).
Nice to have:
- Understanding of Vertex AI Pipelines / Kubeflow Pipelines (KFP), BigQuery, or dbt in data-intensive environments;
- Exposure to Go or FastAPI;
- Experience navigating security and compliance requirements in a large international organisation;
What We Offer at METRO
- Hybrid and agile work: Thrive in a flexible, multicultural environment with self-organizing teams.
- People development: Grow through individual and company-wide learning and development opportunities.
- Ownership and impact: Contribute to a strategic Ultra Fresh platform improving availability, efficiency, and waste reduction.
- International collaboration: Work with colleagues, business stakeholders, and partners across multiple countries and functions.
- Support with individual solutions: We care about people and support you throughout your professional journey.