Engineering Lead, Infra

About The Team As the engineering organization matures, the infrastructure teams are the key to Airwallex's ability to build a globally distributed platform, increase engineer productivity and ensure effective use of resources. Our teams work to provide the best possible experience for our developers and customers while providing a safe and secure environment to ensure that our financial solutions are always available. What You’ll Do The Data Devops team is tasked with providing our data engineering and analytics teams with the right tools. You will be responsible for developing and maintaining the data infrastructure. Additionally, you will create and enhance tooling and platforms to empower the engineering team with improved self-service capabilities. This role is based in Singapore. Responsibilities 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 different needs of the engineering team. Design and develop scalable software applications or systems that provide good self-service capabilities and ensure robust architecture and maintainability. Conduct comprehensive testing and quality assurance to identify and rectify errors, ensuring the software aligns with quality standards and functions effectively. Perform ongoing maintenance and troubleshooting for deployed software, implementing updates and enhancements to improve functionality and address evolving needs. Collaborate effectively with cross-functional teams to ensure project alignment and timely delivery. Engage in continuous learning to stay abreast of emerging technologies, programming languages, and development methodologies, enhancing the quality and efficiency of software solutions. Who You Are Qualifications 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. Bonus if you have Data streaming engineering experience. Prior experience working with data streaming platforms such as Kafka,Flink or Spark.