Our client, a leading global alternatives firm, has engaged JMD Consultancy to hire hands-on engineers into their core Data Platform team. The team is rebuilding the firm's enterprise data and AI platform from the ground up.
This is a software engineer who builds the data platform, Python + Java, Terraform, Kubernetes, full CI/CD ownership. This is NOT a data engineer who builds pipelines on top of it.
Key Responsibilities
- Build and ship production data platform services end-to-end (Python + Java)
- Own platform infrastructure: Terraform, Kubernetes (AKS/EKS), full CI/CD lifecycle
- Architect backend services and APIs that data engineers and ML teams consume
- Own platform reliability, cost, and performance, latency, throughput, infra spend
- Contribute to ML / GenAI infrastructure: model deployment frameworks, inference pipelines, context-delivery services
Requirements
- Strong production Pythonand Java
- Hands-on Terraform, Docker, Kubernetes, modern CI/CD
- Microservices / API framework experience at meaningful scale (Flask, gRPC, Pub/Sub or similar)
- Track record of building services other engineers consume, platform-shaped work, not pipeline-shaped work
- 7 years of experience as a Data Engineer, preferably within financial services, fintech, or hedge funds.
- Hands-on experience with data modeling, warehousing, and cloud technologies (Azure, AWS, Snowflake, or similar).