Senior Platform Engineer (Azure, Kubernetes, Terraform)

Architect and Deliver Cloud-Native Platform Solutions

Join an international client to design and implement a robust Data Platform. This role focuses on building a cloud internal developer platform that adapts to its host ecosystem, starting with Azure and designed for future multi-cloud capabilities. The platform orchestrates over 70 best-in-class open-source and managed services to create a self-service environment for developers.

Key Responsibilities

• Architect and deliver cloud-native, self-service platform capabilities across Azure.
• Develop detailed platform designs based on high-level requirements using Azure, Kubernetes, Terraform, and Crossplane.
• Implement solutions and automate infrastructure using Infrastructure as Code (IaC), specifically OpenTofu for Day-0 and Crossplane v2 for Day-1+ operations.
• Lead CI/CD pipelines using GitHub Actions, ensuring progressive delivery via Argo Rollouts.
• Create Azure Data Factory pipelines to support data workflows.
• Operate and scale Kubernetes fleets on AKS, utilizing Cilium for L3/L4 networking, Istio ambient mesh for East-West traffic, and Kong for North-South traffic, while guaranteeing high availability.
• Lead incident response and conduct deep-dive troubleshooting to minimize downtime.
• Mentor platform and SRE engineers to foster a culture of excellence.

Required Experience and Skills

• Long-term project experience as a Platform Engineer with a strong focus on Azure.
• Strong project experience with Kubernetes Clusters, specifically AKS.
• Strong project experience with Terraform, including API gateways, service mesh (Istio ambient), and microservices at production scale.
• Strong project experience in Infrastructure as Code (IaC) using OpenTofu/Terraform and Crossplane v2.
• Experience with advanced CI/CD tools, including GitHub Actions and Argo CD/Rollouts.
• International project experience in large organizations.
• Fluency in English.

Preferred Experience

• Project experience with Kafka, Databricks, and/or Kong.

Engagement Details

• Start date: November.
• Duration: Until the end of the year, with 3-month rolling extensions.
• Occupancy: Full time.
• Location: 100% Remote.