Get to Know the Team

The Streaming Data team (aka "Coban") 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:

• Making Flink deployments safer through platform guardrails and production deployment patterns (Safer deployment of streaming applications).
• Improving Flink release confidence with shadow testing (Enhancing Flink deployment with shadow testing).
• Strengthening real-time Kafka data quality with syntactic and semantic stream contracts (Real-time data quality monitoring).
• Using 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 significantly and autonomously contribute to their team, designing, shipping, operating, and monitoring software systems in a high-quality manner. As a Senior DevOps Engineer, your role would involve working 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.

Why This Role Matters

• In an agentic world, high-quality real-time signals are becoming even more critical to drive automation, decision-making, and measurable business impact.
• Apache Flink is a critical real-time infrastructure layer for Grab. By making stream processing easier, safer, and more self-serve, this role helps unlock more real-time signals and turn data into business value across Grab. As Grab embraces agentic engineering, we welcome builders with strong data infrastructure experience and a passion for stream processing to join us.

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.
• Orchestrate and operate the Cloud infrastructure and Compute cluster that lays the foundation for the systems, maintaining the uptime for many critical services.