10 дней назад
Lead Platform Engineer (Flink)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Platform Engineer (Flink): Designing and operating Grab’s stream processing platform with an accent on Apache Flink, Kafka, distributed systems, and self-service infrastructure. Focus on building reliable platform abstractions, automating production workflows, improving operational security, and mentoring engineers across complex real-time data systems.
Location: Onsite at ’s Singapore office in One North
Company
is Southeast Asia’s leading superapp, providing services across food delivery, mobility, financial services, and technology.
What you will do
- Lead the design, evolution, and operation of ’s stream processing platform with Apache Flink as a core compute engine.
- Build platform abstractions, modules, and libraries that simplify Flink adoption and reduce operational and security toil.
- Improve automation and self-service workflows for supporting production Flink pipelines at scale.
- Lead technical design discussions, production readiness reviews, incident learning, and long-term architecture improvements.
- Partner with Kafka, data lake, metrics, and data governance teams to improve real-time data pipeline reliability.
- Mentor engineers through design reviews, debugging sessions, code reviews, and operational best practices.
Requirements
- 5+ years of experience leading teams or projects in software, data, or platform engineering.
- Production experience building and operating stream processing pipelines, preferably with Apache Flink or Spark Streaming.
- Strong hands-on experience with Kafka and modern programming languages such as Scala or Java.
- Strong understanding of distributed systems, scalable data processing, reliability engineering, and production operations.
- Ability to lead technical design, mentor engineers, communicate trade-offs, and drive projects from design through production.
Nice to have
- Experience with Kafka Connect, Kubernetes, Go, GitLab CI, AWS, or Terraform.
- Experience building reusable platform abstractions, SDKs, deployment tooling, or self-service workflows.
- Production experience with Flink high availability, checkpointing, safe deployments, and incident response.
- Experience with data warehouse or data lake technologies such as Spark, Parquet, Iceberg, Delta, or Hudi.
Culture & Benefits
- Medical and term life insurance.
- Flexible benefits through Flex.
- Parental, birthday, and volunteering leave.
- Confidential employee assistance programme.
- FlexWork arrangements with differentiated working hours.
- Inclusive and equitable workplace with equal-opportunity employment practices.
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