Senior Software Engineer - Streaming Platform

Job Description

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..

Why This Role Matters

• In an agentic world, high-quality real-time signals are becoming even more critical to drive automation 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 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.
• 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.

Qualifications

What Essential Skills You Will Need

• 4+ years of experience in software engineering, data engineering, or information security disciplines.
• Proficient with at least one programming language: Python, Golang, Java, Scala.
• Fluent English communication
• Experience with developing, building and maintaining scalable, high-throughput, high-traffic systems.
• Understanding of Data Structures and Algorithms, System Architecture and Design
• Understanding of data systems: relational, non-relational databases
• Experience working with Streaming systems and Big Data technologies

The nice-to-haves:

• Experience building on Cloud Infrastructure. Grab is Cloud-first
• Experience with Kafka and Flink
• Understanding of Kubernetes and container ecosystem.
• Knowledge of Java and low-level JVM tuning and optimization

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For at Grab

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.