Senior Infrastructure Engineer, Data Compute Platform
Core
Design, build, and operate the multi-tenant Kubernetes and AWS infrastructure layer for Grab's Data Compute Platform, supporting distributed compute engines like Spark, Ray, Trino, and Starrocks.
Role type
Senior Infrastructure Engineer (Cloud-Native & Data Platform)
Builds
Multi-tenant Kubernetes clusters, AWS estate, and infrastructure-as-code pipelines for data workloads
Domain
Cloud Infrastructure, Data Engineering, Kubernetes
Deliverable
production ML models | infrastructure
Required skills
Go, Python, Kubernetes (operators, autoscaling, multi-tenancy), AWS (EKS, IAM, VPC), Terraform, CI/CD, SRE fundamentals
Preferred skills
Spark on Kubernetes, Karpenter/Cluster Autoscaler, Ray (KubeRay), Trino/Starrocks, container internals, service mesh, FinOps
Technologies
Kubernetes, AWS, Terraform, GitLab, Go, Python, Spark, Ray, Trino, Starrocks, Airflow, Michelangelo, EKS, S3, IAM, RDS, VPC, Datadog, Prometheus, Grafana
Responsibilities
Design and operate multi-tenant Kubernetes platform; build Kubernetes operators and custom resources; lead infrastructure-as-code and CI/CD for AWS estate; design identity, access, and security models; build observability and incident tooling; own compute cost efficiency; drive architectural improvements and migrations
Seniority
Senior, hands-on IC
