Lead Platform Engineer, Flink

Qualifications

What Essential Skills You Will Need

• Minimum of 5 years leading teams or projects in software engineering, data engineering, or platform engineering disciplines.
• Experience building and operating stream processing pipelines in production with Apache Flink or Spark Streaming.
• Hands-on engineering experience with Kafka and modern programming languages such as Scala or Java.
• Solid fundamentals in distributed systems, scalable data processing, reliability engineering, and production operations.
• Leading technical design, mentor engineers, communicate trade-offs, and lead projects from design to production.

The nice-to-haves

• Experience with Kafka Connect, Kubernetes, Go, GitLab CI, AWS, or Terraform.
• Experience building reusable platform abstractions, SDKs, deployment tooling, or self-service workflows.
• Experience operating Apache Flink in production, including high availability, checkpointing, safe deployments, and incident response.
• Experience with a data warehouse or data lake ecosystem such as Spark, Parquet, Iceberg, Delta, or Hudi.

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.

Company Description

About Grab and Our Workplace

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.

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.