Airwallex - Staff/Engineering Lead, Data&AI Infrastructure
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT
Requirements
• Demonstrated expertise in Kubernetes, Terraform, and GitOps. • Kubernetes, Terraform, and GitOps • Prior experience working with data streaming platforms such as Kafka, Flink, or Spark. • data streaming platforms • Kafka, Flink, or Spark. • Hands-on experience with at least one programming language, preferably Python, Golang, or Java. • Python, Golang, or Java • Previous experience in leading and mentoring a team of engineers. • leading and mentoring a team of engineers • Proven ability to navigate and bring structure to ambiguity, comfortable operating with incomplete information, clarifying requirements, and driving alignment across stakeholders. • navigate and bring structure to ambiguity • Strong proactive problem-solving mindset, with a track record of surfacing risks and opportunities early and driving them to resolution. • proactive problem-solving mindset • Demonstrated experience using AI tools to augment engineering workflows (e.g., for coding, design reviews, troubleshooting, documentation, or incident response) and advocating for effective, safe adoption of these tools within a team. • AI tools to augment engineering workflows • Bachelor’s degree or above in Computer Science, Engineering, or related disciplines. • Computer Science • Engineering • Applicant Safety Policy: Fraud and Third-Party Recruiters • To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. • 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. • Equal opportunity • Equal opportunity
Responsibilities
• 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. 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. • Provide technical leadership and direction to a team of engineers based in Singapore. • technical leadership and direction • Design and implement a robust and scalable data infrastructure tailored to meet different needs of the engineering team. • robust and scalable data infrastructure • Design and develop scalable software applications and systems that provide strong self-service capabilities and ensure robust architecture and maintainability. • scalable software applications and systems • Conduct comprehensive testing and quality assurance to identify and rectify errors, ensuring the software aligns with quality standards and functions effectively. • testing and quality assurance • Perform ongoing maintenance and troubleshooting for deployed software, implementing updates and enhancements to improve functionality and address evolving needs. • maintenance and troubleshooting • 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. • Leverage AI-assisted tools • Proactively identify, frame, and solve ambiguous problems across data and platform domains, turning loosely defined requirements into clear technical plans and incremental deliverables. • Proactively identify, frame, and solve ambiguous problems • Collaborate effectively with cross-functional teams (data, platform, AI, security, and product) to ensure project alignment and timely delivery. • cross-functional teams • 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. • continuous learning
No credit card. Takes 10 seconds.