• Design agentic workflows that take a requirement from spec to production • Review agent output with a critical eye to catch the quality issues that automated checks miss • Identify failure patterns and turn them into system-level improvements • Maintain and evolve the platform (TypeScript, serverless architecture, shared codebase) • Work closely with product to reduce the ambiguity agents struggle with

Role Description We are seeking a highly skilled AI Infrastructure and Kubernetes Platform Architect with deep expertise in managing GPU-accelerated workloads on NVIDIA DGX systems. The ideal candidate will have hands-on experience with Kubernetes at the administrator, application developer, and security levels (CKA, CKAD, CKS), and will be responsible for designing, deploying, securing, and maintaining large-scale AI infrastructure powered by DGX BasePODs and SuperPODs. This role involves optimizing AI workloads, managing high-performance networking (InfiniBand), and ensuring operational excellence across NVIDIA AI systems and BlueField DPU environments. Key Responsibilities - Kubernetes and AI Platform Orchestration - Architect and maintain containerized AI/ML platforms using Kubernetes on DGX systems. - Integrate NVIDIA Base Command Manager with Kubernetes for workload scheduling and GPU resource optimization. - Design multi-tenant GPU resource partitioning strategies using MIG (Multi-Instance GPU) to maximize hardware utilization across concurrent AI workloads. - Implement and manage Helm charts, custom controllers, and GPU operators for scalable ML infrastructure. - DGX Infrastructure Administration - Administer and optimize NVIDIA DGX BasePODs and SuperPODs. - Ensure optimal GPU, CPU, and storage performance across AI clusters. - Leverage DGX System Administration best practices for lifecycle management and updates. - Coordinate capacity planning for DGX cluster expansion including rack power, cooling, and storage integration with NVIDIA AI Enterprise software stack. - High-Performance Networking & DPU - Deploy, monitor, and manage InfiniBand networks using Unified Fabric Manager (UFM). - Integrate BlueField DPUs for offloaded security, networking, and storage tasks. - Optimize end-to-end data pipelines from storage to GPUs. - Security and Compliance - Apply best practices from the CKS certification to harden Kubernetes clusters and AI workloads. - Implement secure service mesh and microsegmentation with BlueField DPU integration. - Conduct regular audits, vulnerability scanning, and security policy enforcement. - Automation & Monitoring - Automate deployment pipelines and infrastructure provisioning with IaC tools (Terraform, Ansible). - Monitor performance metrics using GPU telemetry, Prometheus/Grafana, and NVIDIA DCGM. - Troubleshoot and resolve complex system issues across hardware and software layers. - Implement MLOps workflows integrating KubeFlow Pipelines, NVIDIA Triton Inference Server, and model registry tooling to support end-to-end model training and production deployment. Qualifications - CKA, CKAD, CKS certifications – demonstrating full-stack Kubernetes expertise. - Proven experience with NVIDIA DGX systems and AI workload orchestration. - Hands-on expertise in InfiniBand networking, UFM, and BlueField DPU administration. - Strong scripting and automation skills in Python, Bash, YAML. - Familiarity with Base Command Manager, NVIDIA GPU Operator, and KubeFlow is a plus. - Ability to work across teams to support ML researchers, DevOps engineers, and infrastructure teams.

• Gain a deep understanding of the current platform landscape including infrastructure, platform services, and application layers. • Identify key constraints that are slowing engineering delivery. • Build context around the environment platform strategy, including declarative environments, generated artifacts, and self-service developer experiences. • Identify current platform gaps such as manual steps or fragile integrations. • Establish strong working relationships across Infrastructure/CI, Operations, Security, and product engineering teams. • Begin shaping shared standards through design reviews and code reviews. • Identify 1–2 high-leverage improvements.

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. 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. Staff Data Platform Engineer (Real-time Data Platform) Knowledge Platform Team Hiring Location: Singapore Airwallex is the leading financial technology platform for modern businesses growing beyond borders. With one of the world's most powerful payments and banking infrastructures, our technology empowers businesses of all sizes to accept payments, move money globally, and simplify their financial operations, all in one single platform. Established in 2015 in Melbourne, we aim to connect entrepreneurs, business builders, makers, and creators with opportunities in every corner of the world. Today, Airwallex has a global footprint across Asia-Pacific, Europe, and North America. Who We Are? Team Introductions: The Knowledge Platform team is at the heart of our company's data and AI strategy. We are building the foundational infrastructure that empowers the entire company to leverage data, AI, and ML into business impact. We accomplish this by creating platforms that handle the entire data and AI/ML lifecycle, simplifying the interface while providing proper safety and governance. This includes managing our data infrastructure (Databricks, Spark, Kafka, etc.), the technology to serve that data to our users (RAG, MCP, etc.), and the platform to host and govern these AI/ML models. In 2026, our team's overarching mission is to evolve our full data ecosystem-encompassing both platform and models-into a fully AI agent-ready infrastructure; we will empower customers to engage directly with the data platform to extract actionable value through capabilities like analytics and natural language querying, while also upgrading the platform to deliver robust, real-time performance for instant, data-driven decision-making. Who You Are? Role Overview: As a high level architect (staff engineer), you will oversee the strategy, architecture, development, and operation of Airwallex's data and AI platforms. You will play a pivotal role in influencing data-driven and AI-powered decision-making processes. A key aspect of your role will also include building a high-performing team that excels in a fast-paced environment. Your leadership will be critical in mentoring the team, promoting a culture of innovation, and driving technical excellence. Responsibilities: - Spearheaded the identification and resolution of Airwallex-wide challenges using cutting-edge data platform solutions. - Provide visionary technical direction, fostering a community within Airwallex's data realm, and actively leading in solving complex problems hands-on. - Advocate for best practices across the data platform, instilling a culture of craftsmanship and innovation. - Mentor the data platform team, nurturing both technical and professional development. Minimum Requirements: - A minimum of 8 years of experience in Data Platform or an equivalent combination of work and academic exposure in a quantitative field. - Proven experience leading company-wide initiatives across multiple teams or influencing tech roadmap planning. - Effective collaboration with diverse teams and stakeholders to drive tangible business outcomes. - Demonstrated ability to balance execution and velocity with in-depth research, statistical understanding, and scalable design. - Track record of mentoring and investing in the development of scientists, engineers, and peers. - Experience providing technical leadership on significant projects, covering ETL frameworks, metrics stores, infrastructure management, and data security. - Proficiency in building, deploying, and maintaining reliable multi-geographical data pipelines at scale. - Familiarity with workflow or orchestration frameworks such as Airflow, DBT, etc. Preferred Qualifications: - Hands-on design experience in crafting data processing patterns for a modern Lakehouse architecture. - Contribute to the design and development of standard framework modules, high-performance services, and client libraries for big data using tools like GCP, Databricks, BigQuery, DataProc, Kafka, Kubernetes, Spark, DataFlow, Google Cloud Storage, and Airflow. - Excellent written and verbal communication skills tailored for diverse audiences (leadership, users, company-wide). - Ability to rapidly evaluate various technologies and conduct proof of concepts to drive architecture design. - Experience thriving in a complex environment. At Airwallex, you can make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you'll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team-building events and we give our people the freedom to be creative. 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 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.