[Who We are]
The Airwallex Infra team is a group of highly skilled, innovative, and collaborative professionals dedicated to creating and maintaining a cutting-edge, secure, and scalable infrastructure that supports our cross-border payment solutions. The team brings together experts in Kubernetes, service mesh, cloud platforms, and middlewares, all working seamlessly to ensure the highest levels of performance, reliability, and security.
About The Team
The Data+AI 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, incorporating technologies. 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.
What You'll Do
- As a DevOps engineer in the team, you will be responsible for leading the design of our DevOps strategy, and working closely with cross-functional teams to develop and evolve the cloud infrastructure optimized for performance, scalability and security in order to support our next 10x growth.
- You will be working across multiple countries, owning our Data and AI infrastructure across the world.
- You will bring to the team a level of expertise in operational platform management, developing observability and detection capabilities that will decrease time to discover problems and allow our teams to increase stability and not sacrifice agility or security.
- A key aspect of this position will be building consensus amongst DevOps Engineers across geographies in different feature teams about the tools and practices we use, and evolving that consensus into agreed standards.
Who You Are
- 5+ years of DevOps engineering experience.
- Demonstrated expertise in Kubernetes, Terraform, and GitOps
- Better to have # Data streaming engineering experience. Prior experience working with data streaming platforms such as Kafka, Flink or Spark.
- Better to have # AI-related techstack: eg. vLLM, liteLLM, Langfuse, etc.
- Hands-on experience with at least one programming language preferably Python, Golang, or Java.
- Bachelor degree or above in computer science or engineering-related majors.
