Engineering Manager II, Data Platform

Get to Know the Team

The Streaming Data team (a.k.a. Coban) ensures seamless and secure real-time access to continuous events or streams, serving as Grab's unified access pattern for real-time data. We build the infrastructure and platform for writing and consuming real-time data, and provide a cost-effective, managed NoOps service for product and data teams across Grab. We partner closely with sister teams in DataTech to provide integrated data platforms that unlock big data innovation every day.

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

• Building a self-serve streaming platform for Kafka topics, Flink, CDC pipelines, Kafka Connect, and notebooks (An elegant platform).
• Making Flink deployments safer through platform guardrails and production deployment patterns (Safer deployment of streaming applications).
• Enabling FlinkSQL exploration and productionisation so users can move faster from streaming ideas to running pipelines (The complete stream processing journey on FlinkSQL).
• 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).

These are examples of the platform thinking this role will continue to advance: taking complex real-time infrastructure problems and turning them into reliable, self-service capabilities for Grab teams.

Grab needs a manager to scale real-time data platforms

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

The team turns streaming complexity into self-service platforms

The Streaming Data team, also known as Coban, owns Grab's real-time data platform. We build and operate the infrastructure that helps Grab teams write, process, govern, and consume continuous event streams safely at scale. Our platform brings together Kafka, Apache Flink, change data capture, Kafka Connect, notebooks, deployment guardrails, observability, and data quality capabilities so product and data teams can ship real-time pipelines with confidence.

The team partners closely with Kafka, data lake, metrics, governance, experimentation, and business-facing data teams across Data Engineering Platforms. We care deeply about platform leverage: making complex distributed systems reliable, efficient, secure, and easy enough for many internal users to adopt without creating operational toil.

The role owns people, platform direction, and production outcomes

As Engineering Manager II, Flink Platform, you will build, grow, and lead a Vietnam-based engineering team responsible for the evolution and operation of Grab's stream processing platform. You will guide the team roadmap, coach engineers, raise engineering standards, and partner with stakeholders across Grab to make Apache Flink a safer and more productive compute layer for real-time data.

You will work onsite at Grab Vietnam office in HCMC and report into Data Engineering Platforms leadership. This is a hands-on engineering management role. You are expected to stay close to technical design, reliability trade-offs, incident learning, and platform execution while scaling impact through your team.

This platform unlocks the real-time signals Grab needs next

• Apache Flink is a critical compute layer for real-time signals, automation, data products, and decision-making across Grab.
• A stronger Flink platform helps internal teams move from streaming ideas to production pipelines faster, with better guardrails and less operational risk.
• A small platform team must support many production workloads, so the manager will multiply impact through self-service workflows, reusable abstractions, and clear ownership models.
• As Grab accelerates AI-assisted and agentic engineering, high-quality real-time data becomes an even more important foundation for reliable automation.