Staff/Senior Devops Engineer, Data&AI Infrastructure

Airwallex
SG - SingaporePosted 24 March 2026

Job Description

Staff/Senior Devops Engineer, Data&AI Infrastructure ABOUT AIRWALLEX Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us. ATTRIBUTES WE VALUE We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles https://www.airwallex.com/us/operating-principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next. About The Team The Data+AI Infra 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. For Staff level, we expect you to have over 10 years or at least 8 years experience. You should be able to demonstrate more in - depth understanding in the complexity of projects and the design of code systems. For Senior level, we expect you to have around 6 years or at least 5 years experience. You should be able to solve problems related to coding and system design independently. 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 o ... (truncated, view full listing at source)
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