Senior Software Engineer, Streaming Platform

Get to Know the Team

The Stream Processing Platform team strives to enable seamless and secure real-time access to the events or "streams", serving as Grab's unified, common access pattern for real-time data. The functional areas this team covers are streaming (Kafka), stream processing (Flink, Flink SQL, Kafka Connect), Change Data Capture, near real-time lake ingestion, stream exploration (Zeppelin, Flink SQL Gateway), and an in-house control plane for tenancy and resource management.

Some examples of the team's work are shared publicly on the Grab Engineering blog:

• Make Flink deployments safer through platform guardrails and production deployment patterns (Safer deployment of streaming applications).
• Improve Flink release confidence with shadow testing (Enhancing Flink deployment with shadow testing).
• Strengthen real-time Kafka data quality with syntactic and semantic stream contracts (Real-time data quality monitoring).
• Use machine learning to make Flink autoscaling more predictable and reliable (Machine-learning predictive autoscaling for Flink).
These are examples of the platform thinking this role will contribute to: turning complex real-time infrastructure problems into reliable, self-service capabilities for Grab teams.

Get to Know the Role

Here at Grab, we expect our Senior Engineers to contribute to their team, designing, shipping, operating, and monitoring software systems. As a Senior Software Engineer, you will work on the systems within your team's domain. You would need to consider the appropriate architectural patterns, code design, and infrastructure options. Your goal is to ensure that you deliver a system that is secure, reliable, testable, maintainable, extensible, and well-tested.

You will work onsite at Grab Vietnam office (CMC Creative Space) in HCMC and report to Senior Data Engineering Manager, who is based in Singapore..

The Critical Tasks You Will Perform

• Work with a team of engineers to make Stream Processing easy, reliable, efficient and secure across Grab, via self-served capabilities baked in our platform.
• Create the abstractions, modules and libraries to lower the barrier of entry to Stream Processing in Grab and shift the maintenance and security toil away from our users.
• Improve the automation and self-served capabilities that enable our small team to support 1000+ Stream Processing applications in Grab.
• Build the agentic layers for our users to develop Streaming Applications with ease.
• Weigh in on design questions around platformization, infrastructure, observability and security.
• Contribute to the use of Stream Processing across Grab by promoting for our platform and products. Additionally, directly help our internal users design and build the next game-changing real-time application for Grab.
• Participate in and evolve on-call and incident response procedures for the team.

Function: Engineering
Experience Level: Mid-Senior Level