PlatformEngineer

We're ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgement, and channel your creativity into a platform used by millions. Everyone needs some help showing up as their best self. We're Disability Confident Committed - let our Talent team know if you need any reasonable adjustments throughout the recruitment process * 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 * Collabo