Platform Engineer

Responsibilities

• Contribute to building and evolving the platform for data engineering and ML workflows
• Implement platform-level IaC, CI/CD, and environment management
• Build and maintain components using Python and Spark for data processing
• Support the implementation and operation of a centralised AgentOps capability
• Enhance observability across Data & ML Ops and Agent Ops
• Apply security and compliance best practices including RBAC/ACLs
• Collaborate with Data Engineers, Data Scientists, and ML Engineers

Requirements

• Experience in Data Platforms, Data Engineering, Cloud Engineering, or ML Platform Engineering
• Exposure to Azure
• Strong hands-on experience with Python and Apache Spark
• Experience with Azure Databricks, ADLS Gen2, and Unity Catalog
• Working knowledge of security and access management (RBAC, ACLs, Entra ID)
• Familiarity with Terraform and CI/CD (Azure DevOps, GitHub Actions)
• Basic understanding of Azure networking

Preferred Qualifications

• Exposure to Docker/Kubernetes in cloud environments
• Awareness of AgentOps patterns (LLM gateways, prompt/version control, evaluation, observability)

Benefits

• Employee discount
• Employee sample sales
• 25 days paid annual leave plus an extra celebration day
• Private medical care scheme
• Fixed Annual Payment in addition to salary
• Personalised learning opportunities

About the Company

ASOS is the online retailer for fashion lovers all around the world, providing a platform used by millions.