Platform Engineer

• Contribute to building and evolving the platform (infrastructure reusable abstractions) that standardises data engineering workloads (batch/streaming pipelines data processing) and traditional ML workflows (feature engineering training batch/real-time serving) across teams 

• Implement platform-level IaC CI/CD and environment management to support consistent reproducible workloads across dev/test/prod 

• Build and maintain components using Python and Spark for data processing shared datasets and platform services 

• Contribute to shared services for data and ML lifecycle management (data pipelines experiment tracking versioning lineage permissions) aligned to enterprise governance (e.g. Unity Catalog) 

• Support the implementation and operation of a centralised AgentOps capability (LLM gateway tool integration prompt and version management) 

• Contribute to agent-specific lifecycle and safety controls (evaluation pipelines guardrails access control) with guidance from senior engineers 

• Enhance observability across both domains: 

• Data & ML Ops: data quality pipeline reliability model performance 

• Agent Ops: traces responses evaluations cost and behaviour monitoring 

• Contribute to problem solving across platform reliability performance and security for data ML and agent workloads 

• Apply security and compliance best practices (RBAC/ACLs secure configuration identity and access management) supporting a secure-by-default platform design 

• Collaborate with Data Engineers Data Scientists and ML Engineers to enable adoption of platform capabilities across ASOS Tech 

• Contribute to documentation standards and best practices across the platform 

Qualifications :

• Experience in Data Platforms Data Engineering Cloud Engineering or ML Platform Engineering roles with exposure to Azure 

• Strong hands-on experience with Python and Apache Spark 

• Experience with Azure data platform technologies such as Azure Databricks ADLS Gen2 and Unity Catalog 

• Working knowledge of security and access management (RBAC ACLs identity concepts such as Entra ID) 

• Familiarity with Infrastructure as Code using Terraform 

• Experience with CI/CD (Azure DevOps GitHub Actions) 

• Basic understanding of Azure networking (vNets NSGs Private Endpoints) 

• Exposure to Docker/Kubernetes in cloud environments is beneficial 

• Awareness of AgentOps patterns (LLM gateways prompt/version control evaluation observability) is a plus 

• Good communication and collaboration skills with a strong focus on learning and continuous improvement 

Additional Information :

BeneFITS 

• Employee discount (hello ASOS discount!) 
• Employee sample sales 
• 25 days paid annual leave an extra celebration day for a special moment 
• Private medical care scheme 
• Fixed Annual Payment in addition to your salary each year its just an extra thank you from us 
• Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role 

Remote Work :

No

Employment Type :

Full-time