Engineering Lead (Data & AI Infrastructure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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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