Lead Platform Engineer, Flink
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Job Description
Get To Know The Team
The Flink Platform Team manage all the real-time data processing in Grab. We build the infrastructure and the platform for our internal users to write the Flink application using Scala / Java or SQL to process large-scale of real-time events. As the platform team, we ensure the uptime and performance of Flink always at 99.99%, provide a cost-effective managed service and also helping the users to debug their Flink application.
Get To Know The Role
As a Lead Platform Engineer, you will lead the design, evolution, and operation of Grab's stream processing platform, with Apache Flink as a core compute engine. You will drive medium to large projects across Data Engineering Platforms, mentor senior engineers, and be a technical go-to person for platform architecture, reliability, and production operations. You will be hands-on across Flink, Kafka, Amazon Web Services (AWS) cloud infrastructure, Kubernetes, observability, and SRE practices.
You will work onsite at Grab Singapore office, One North, and report to the Head of Engineering, Data Engineering Platforms
Why This Role Matters
Apache Flink is a critical real-time infrastructure layer for Grab. By making stream processing easier, safer, and more self-serve, you will help unlock more real-time signals and turn data into business values across Grab.
The Critical Tasks You Will Perform
• Lead platform work that makes stream processing easy, reliable, efficient, and secure across Grab through self-serve capabilities built into the platform.
• Design and build abstractions, modules, and libraries that lower the barrier to adopting Flink and reduce operational and security toil for users.
• Improve automation and self-service workflows that allow a small platform team to support many production Flink pipelines at scale.
• Drive technical design discussions, production readiness reviews, incident learning, and long-term architecture improvements.
• Partner with Kafka, data lake, metrics, and data governance platform teams to make real-time data pipelines reliable across the broader Grab data ecosystem.
• Mentor engineers through design reviews, debugging sessions, code reviews, and operational best practices.
Requirements
Function: Engineering
Experience Level: Mid-Senior Level