This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
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.
Job Responsibility:
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
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
Nice to have:
Data streaming engineering experience
Prior experience working with data streaming platforms such as Kafka, Flink or Spark