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 150,000 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 1,700 of the brightest and most innovative people in tech across more than 37 locations around 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.

(Senior) Software Engineer, Infra & Productivity Team, Data & AI Infrastructure

Hiring Location: Singapore

Airwallex is a rapidly growing fintech unicorn, founded in 2015 and now flourishing at the Series E financing stage.  With a global footprint across Asia-Pacific, Europe, North America, and APAC, we specialize in providing diverse financial payment solutions for B2B merchants, empowering businesses to operate seamlessly anywhere, anytime.

Who We Are? About the Team:

As Airwallex’s engineering capabilities continue to scale, our infrastructure teams are at the forefront of propelling us into a future of seamless global operations. Our seven specialized domain teams are not just technical powerhouses but the architects of innovation and efficiency, driving unparalleled engineer productivity and resource optimization.

• Tier-X Cloud Infrastructure owns our globally distributed service infrastructure for standard domain teams.

• Tier-0 Cloud Infrastructure specializes in building and maintaining critical product services which requires five-9s of availability or above. 

• Productivity owns our CICD, testing and development tools for our software engineers

• Observability focuses on providing the best monitoring and alerting tools

• Data Infrastructure is tasked with providing our data engineering and  analytics teams with the right tools.  

• Database owns the multitude of different database solutions from SQL to Redis.

• Networking provides a reliable and secure cloud and hardware network infrastructure

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. 

The Role:

In this role, you will:

Join our Productivity & Infrastructure team as a Senior Software Engineer (Data & AI Infrastructure) to develop next-generation solutions supporting our strategic AI initiatives. You’ll manage and optimize critical systems, including Kafka, Flink, Spark, Tableau, and Databricks, ensuring scalable and robust infrastructure for seamless AI implementation. 

• Design and implement scalable data infrastructure solutions using technologies like Kafka, Flink, and Spark. Collaborate with data scientists and analysts to understand their data needs and provide appropriate infrastructure solutions

• Build and maintain internal development platform to enable engineers to perform their tasks efficiently and effectively

• Conduct comprehensive testing and quality assurance to identify and rectify errors, ensuring the software or the tools  aligns with quality standards and functions effectively.

• Perform ongoing maintenance, troubleshooting and performance tuning for data infrastructure components, implementing updates and enhancements to ensure the infrastructure’s reliability and availability.

• Collaborate with the security team to  ensure data infrastructure complies with organizational security policies and industry regulations.

• 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.

You might be a great fit if you:

• A minimum of 5 years of engineering experience

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

• Proven experience with data infrastructure technologies such as Kafka, Flink, Spark, and data lakes.

• Strong programming skills in languages such as Java, Scala, or Python.

• Experience with cloud platforms like AWS, Azure, or Google Cloud is a plus.

• Excellent problem-solving skills and attention to detail.

• Strong communication and collaboration skills

Bonus if you have:

• Data streaming engineering experience

• Knowledge of kubernetes 

• Prior experience working with data streaming platform such as Kafka

Join our team of passionate, innovative professionals as we continue to redefine financial technology for businesses worldwide. Apply now to become a Senior Software Engineer at Airwallex, and help us shape the future of global commerce.

Equal opportunity

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

Airwallex does not accept unsolicited resumes from search firms/recruiters.  Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s).  Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.