Senior Software Engineer, Data and AI Infrastructure

2 weeks ago

Singapore AIRWALLEX (SINGAPORE) PTE. LTD. Full time
Roles & Responsibilities

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 100,000 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 1,500 of the brightest and most innovative people in tech located across more than 20 offices across the globe. Valued at US$5.6 billion and backed by world-leading investors including Sequoia, Lone Pine, Greenoaks, DST Global, Salesforce Ventures and Mastercard, 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.


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 Infrastructure 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 such as Kafka, Flink, and Spark. 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:
  • 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

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

Minimum qualifications:
  • A minimum of 5 years of engineering experience.
  • Bachelor degree or above in computer science or engineering related majors.
  • Extensive understanding of software development lifecycle, with experience in building frameworks or tools for various stages.
  • Demonstrated expertise in Kubernetes, Terraform, and GitOps
  • Hands-on experience with at least one programming language.
  • Commitment to best practices in engineering, security, and design.
Preferred qualifications:
  • Data streaming engineering experience.
  • Prior experience working with data streaming platforms such as Kafka.

Tell employers what skills you have

Troubleshooting
Kubernetes
IT infrastructure
Software Engineering
Productivity
Spark
Apache Kafka
data infrastructure
Debugging
Databases
Linux
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