Staff/Engineering Lead, Data&AI Infrastructure

Airwallex1 weeks ago

Location

SG - Singapore

Type

Full Time

Level

Staff

Role

Engineering Manager

Posted

Mar 4, 2026

Full TimeStaff

The role

Summary

This is a Staff/Engineering Lead position for Airwallex's Data & AI Infrastructure team in Singapore, requiring 6+ years of experience building scalable data infrastructure. The role involves leading a team of engineers while designing robust data platforms using Kubernetes, Terraform, and data streaming technologies like Kafka and Spark.

What you'll do

Technical Leadership: Provide technical leadership and direction to a team of engineers based in Singapore

Data Infrastructure Design: Design and implement robust and scalable data infrastructure tailored to meet different needs of the engineering team

Scalable Systems Development: Design and develop scalable software applications and systems that provide strong self-service capabilities and ensure robust architecture and maintainability

Quality Assurance: Conduct comprehensive testing and quality assurance to identify and rectify errors, ensuring the software aligns with quality standards and functions effectively

System Maintenance: Perform ongoing maintenance and troubleshooting for deployed software, implementing updates and enhancements to improve functionality and address evolving needs

AI Tool Integration: Leverage AI-assisted tools (e.g., code assistants, observability copilots, knowledge/search tools) to accelerate development, improve quality, and create reusable workflows and best practices for the wider team

Problem Solving: Proactively identify, frame, and solve ambiguous problems across data and platform domains, turning loosely defined requirements into clear technical plans and incremental deliverables

Cross-functional Collaboration: Collaborate effectively with cross-functional teams (data, platform, AI, security, and product) to ensure project alignment and timely delivery

Continuous Learning: Engage in continuous learning to stay abreast of emerging technologies, programming languages, development methodologies, and AI tooling, enhancing the quality and efficiency of software solutions

What we look for

Technical

Container OrchestrationDemonstrated expertise in Kubernetes for managing containerized data infrastructure applications

Infrastructure as CodeProven experience with Terraform for infrastructure provisioning and management

GitOps MethodologyExperience implementing GitOps workflows for infrastructure deployment and configuration management

Data Streaming PlatformsPrior experience working with data streaming platforms such as Kafka, Flink, or Spark

Programming LanguagesHands-on experience with at least one programming language, preferably Python, Golang, or Java

AI-assisted DevelopmentDemonstrated experience using AI tools to augment engineering workflows (e.g., for coding, design reviews, troubleshooting, documentation, or incident response)

Education

Bachelor's DegreeBachelor's degree or above in Computer Science, Engineering, or related disciplines

Experience

Engineering Experience6+ years of engineering experience in infrastructure, data engineering, or related fields

Leadership ExperiencePrevious experience in leading and mentoring a team of engineers

Ambiguity NavigationProven ability to navigate and bring structure to ambiguity, comfortable operating with incomplete information, clarifying requirements, and driving alignment across stakeholders

Problem-solving MindsetStrong proactive problem-solving mindset, with a track record of surfacing risks and opportunities early and driving them to resolution