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Engineering Manager II, Data Platform (Apache Flink)

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
lead
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Vietnam
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR
Engineering Manager II, Data Platform (Apache Flink): Building and operating self-service stream processing infrastructure for real-time data pipelines with an accent on Apache Flink, deployment safety, reliability, and platform automation. Focus on leading the Vietnam-based engineering team, designing production guardrails, improving incident readiness, and scaling reusable capabilities across Grab's data ecosystem.

Location: Onsite at hirify.global Vietnam office in Ho Chi Minh City

Company

hirify.global is a Southeast Asian superapp providing transportation, food delivery, financial, and other digital services.

What you will do

  • Lead a Vietnam-based team of Flink platform engineers, including hiring, onboarding, coaching, performance management, and career development.
  • Own quarterly planning, objectives, prioritization, and delivery of the Flink platform roadmap.
  • Guide technical design for self-service Flink capabilities, deployment guardrails, observability, automation, and reusable platform modules.
  • Drive operational excellence through on-call readiness, incident response, post-incident learning, service level objectives, capacity planning, and reliability improvements.
  • Partner with Kafka, data lake, metrics, governance, SRE, security, and product engineering teams across hirify.global.
  • Translate ambiguous platform needs into practical execution plans for technical and non-technical stakeholders.

Requirements

  • 8+ years of professional software engineering, data engineering, or platform engineering experience, including 3+ years managing engineers or leading engineering teams.
  • Experience building, operating, or managing distributed systems, data platforms, stream processing platforms, or high-scale backend infrastructure in production.
  • Hands-on experience with Apache Flink, Spark Streaming, Kafka, or comparable large-scale data processing technologies.
  • Strong knowledge of reliability engineering, production operations, observability, incident response, capacity planning, and security practices.
  • Ability to set roadmaps, prioritize under ambiguity, lead execution, and deliver measurable outcomes through a team.
  • Strong coaching, hiring, stakeholder management, and technical communication skills.

Nice to have

  • Experience with Apache Flink internals, high availability, checkpointing, state management, job upgrades, shadow testing, and safe deployment patterns.
  • Experience with Kubernetes, AWS, Terraform, GitLab CI, Go, Java, Scala, or infrastructure-as-code workflows.
  • Experience building platform abstractions, SDKs, deployment tooling, control planes, self-service workflows, or managed NoOps services.
  • Experience with data lake or warehouse technologies such as Spark, Parquet, Iceberg, Delta, Hudi, Trino, or Presto.
  • Exposure to data governance, data quality, stream contracts, platform cost management, or multi-tenant data infrastructure.

Culture & Benefits

  • Term life insurance and comprehensive medical insurance.
  • Flexible benefits package through hirify.globalFlex.
  • Parental leave, birthday leave, and volunteering leave.
  • Confidential employee assistance programme.
  • FlexWork arrangements, including differentiated working hours.
  • Inclusive and equitable workplace with equal-opportunity employment practices.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’