Engineering Lead, Infrastructure (Data & AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Engineering Lead, Infrastructure (Data & AI): Leading a team of engineers to design and maintain robust data infrastructure and self-service tooling with an accent on scalability, reliability, and developer productivity. Focus on implementing Kubernetes-based solutions, optimizing data streaming platforms, and ensuring high-quality, maintainable architecture for a global financial platform.
Location: Must be based in Singapore
Company
is a global unified payments and financial platform empowering businesses with integrated solutions for accounts, payments, and treasury management.
What you will do
- Provide technical leadership and direction to a team of engineers based in Singapore.
- Design and implement robust, scalable data infrastructure tailored to engineering needs.
- Develop software systems and tooling to enhance self-service capabilities for the engineering team.
- Conduct comprehensive testing and quality assurance to ensure software reliability and standards.
- Perform ongoing maintenance, troubleshooting, and performance enhancements for deployed systems.
- 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 degree or above in computer science or engineering related majors.
- Must be based in Singapore.
Nice to have
- Data streaming engineering experience.
- Prior experience working with data streaming platforms such as Kafka, Flink, or Spark.
Culture & Benefits
- Opportunity to work on high-visibility, complex problems in a global fintech environment.
- Collaborative team culture focused on founder-like energy and ownership.
- Commitment to continuous learning and staying abreast of emerging technologies.
- Equal opportunity employer valuing diversity and merit-based growth.
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