Lead Platform Engineer, Flink

Seoulstart; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Seoulstart is seeking an experienced engineering leader to steer data platform initiatives and scale a Flink-based streaming stack. You will mentor senior engineers, guide architectural decisions, and drive production-ready pipelines in collaboration with Kafka, data lake, and governance teams.

The role requires hands-on work with Flink, Kafka, AWS, Kubernetes, and observability practices, ensuring reliability and rapid delivery for internal users and stakeholders.

Qualifications

• Five or more years leading software, data, or platform engineering projects.
• Production experience building stream processing pipelines, preferably Flink or Spark Streaming.
• Strong hands-on Kafka experience with Scala or Java programming skills.
• Solid distributed systems, scalable processing, reliability, and production operations fundamentals.
• Ability to lead technical design, mentor engineers, and drive projects to production.
• Willingness to learn new technologies and improve platform reliability for internal users.

Responsibilities

• Lead design and operation of Grab's Apache Flink stream processing platform
• Drive medium and large projects across Data Engineering Platforms organization
• Mentor senior engineers through design reviews, code reviews, and debugging sessions
• Build self-serve platform abstractions that make Flink adoption easier and safer
• Improve automation workflows supporting many production Flink pipelines at scale
• Partner with Kafka, data lake, metrics, and governance teams on reliable pipelines
• Lead technical design discussions, production readiness reviews, and incident learning
• Work hands-on across Flink, Kafka, AWS, Kubernetes, observability, and SRE practices

Skills

Kafka experience

Scala or Java

Flink

Distributed systems

Platform engineering

Tools

Kafka

Kubernetes

AWS

Terraform

GitLab CI

Job description

What you'd do:

• Lead design and operation of Grab's Apache Flink stream processing platform
• Drive medium and large projects across Data Engineering Platforms organization
• Mentor senior engineers through design reviews, code reviews, and debugging sessions
• Build self-serve platform abstractions that make Flink adoption easier and safer
• Improve automation workflows supporting many production Flink pipelines at scale
• Partner with Kafka, data lake, metrics, and governance teams on reliable pipelines
• Lead technical design discussions, production readiness reviews, and incident learning
• Work hands-on across Flink, Kafka, AWS, Kubernetes, observability, and SRE practices

What they want:

• Five or more years leading software, data, or platform engineering projects
• Production experience building stream processing pipelines, preferably Flink or Spark Streaming
• Strong hands-on Kafka experience with Scala or Java programming skills
• Solid distributed systems, scalable processing, reliability, and production operations fundamentals
• Ability to lead technical design, mentor engineers, and drive projects to production
• Willingness to learn new technologies and improve platform reliability for internal users

Nice to have:

• Experience with Kafka Connect, Kubernetes, Go, GitLab CI, AWS, or Terraform
• Experience building platform abstractions, SDKs, deployment tooling, or self-service workflows
• Production Apache Flink operations including HA, checkpointing, safe deployments, incident response
• Familiarity with data lake ecosystems such as Spark, Parquet, Iceberg, Delta, or Hudi Five or more years leading software, data, or platform engineering projects
• Production experience building stream processing pipelines, preferably Flink or Spark Streaming
• Strong hands-on Kafka experience with Scala or Java programming skills
• Solid distributed systems, scalable processing, reliability, and production operations fundamentals
• Ability to lead technical design, mentor engineers, and drive projects to production
• Willingness to learn new technologies and improve platform reliability for internal users

Production experience building stream processing pipelines, preferably Flink or Spark Streaming

Strong hands-on Kafka experience with Scala or Java programming skills

Solid distributed systems, scalable processing, reliability, and production operations fundamentals

Ability to lead technical design, mentor engineers, and drive projects to production

Willingness to learn new technologies and improve platform reliability for internal users