Platform Engineer

About the client

Our client specialises in building Agentic AI systems.

Role Description

Our client is looking to onboard a Platform Engineer to serve as one of the principal architects of SupplyOS their agentic AI platform that powers procurement inventory manufacturing and logistics operations across Asia.

You will help define the long term technical direction of a system that enables enterprises to run faster smarter and more automated workflows. You will shape their core architecture build the platform primitives used by all teams

What youll be doing

• Design and build major platform capabilities like our API server workflow engine multi-agent orchestration RAG infrastructure and intelligent memory systems that form the backbone of SupplyOS.
• Constantly identify recurring patterns across deployments and crystallise them into platform abstractions that make FDEs radically faster.
• Establish engineering standards for reliability testing observability performance and developer experience.
• Evaluate and integrate cutting-edge AI technologies such as new agent frameworks LLM providers vector databases and determine what deserves a place in their stack.
• Solve the hard problems of reliability performance and cost optimization as they grow from handling thousands to millions of supply chain events.
• Partner with FDEs and product teams to translate field learnings into platform capabilities ensuring their abstractions match real-world complexity.

Requirements

• Experience: 5 years
• Youve architected backend systems that handle real scale and complexity and you understand consensus protocols eventual consistency and the subtle tradeoffs that separate systems that work from systems that work reliably and deliver enterprise workloads.
• You ship production-grade software in Go Python and JavaScript/TypeScript. You have gone beyond can write code to writes code that survives production at 3am.
• Youre fluent in building production cloud systems with Terraform and Docker. Infrastructure-as-code isnt just a buzzword its how you think about deploying and scaling systems.
• You have a proven track record of building platforms that multiple teams actually use and depend on and youve felt the pain of bad abstractions and know what makes developers productive.
• You understand how to move transform and validate data at scale. ETL isnt a mystery its a solved problem youve implemented many times. Bonus points if youve wrestled with Databricks in production