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Engineering Lead (Data & AI Infrastructure)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Engineering Lead (Data & AI Infrastructure): Developing and maintaining scalable data infrastructure and self-service tooling for data engineering and analytics teams with an accent on Kubernetes, Terraform, and GitOps. Focus on building robust architecture, enhancing developer productivity, and implementing high-availability financial solutions.

Location: Must be based in Singapore

Company

hirify.global is a unified payments and financial platform for global businesses, empowering over 200,000 companies worldwide with integrated financial solutions.

What you will do

  • Provide technical leadership and direction to a team of engineers based in Singapore.
  • Design and implement a robust and scalable data infrastructure tailored to meet engineering needs.
  • Develop scalable software applications and platforms to enhance self-service capabilities for the team.
  • Conduct comprehensive testing and quality assurance to ensure software aligns with quality standards.
  • Perform ongoing maintenance and troubleshooting for deployed software, implementing updates to address evolving needs.
  • Collaborate with cross-functional teams to ensure project alignment and timely delivery.

Requirements

  • 6+ years of engineering experience.
  • Demonstrated expertise in Kubernetes, Terraform, and GitOps.
  • Hands-on experience with at least one programming language.
  • Previous experience in leading and mentoring a team of engineers.
  • Bachelor's degree or above in Computer Science or engineering-related majors.
  • Must be based in Singapore.

Nice to have

  • Experience with data streaming platforms such as Kafka, Flink, or Spark.

Culture & Benefits

  • Culture of high ownership and "founder-like energy" for those seeking real impact.
  • Opportunity to solve complex, high-visibility problems within a globally distributed platform.
  • Collaborative environment working alongside exceptional technical teammates.
  • Equal opportunity employer valuing diversity and merit-based growth.

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