Ant International-Senior System Assurance Expert-Sovereign Cloud & Infrastructure SG

Ant International is a leading global digital payment and financial technology provider, enabling trusted cross-border commerce and financial connectivity. The Chief System Assurance Officer (CSAO) organization is responsible for establishing a Global Sovereign System Assurance Framework, ensuring that Ant International’s cross-border payment systems are intrinsically Visible, Controllable, Verifiable, Auditable, and Sustainable. The Senior System Assurance Expert – Sovereign Cloud & Infrastructure will lead to design, develop, and operate AI agents that continuously build, monitor, optimize, and assure Ant International's sovereign cloud and infrastructure platforms. The role is responsible for leveraging AI agents to automate cloud architecture governance, infrastructure resilience, security enforcement, sovereign architecture validation, and large-scale operational assurance, ensuring that global payment infrastructure remains Visible, Controllable, Verifiable, Auditable, and Sustainable (VCVAS). Key Responsibilities ● Design and develop AI agents that automate sovereign cloud governance and infrastructure assurance. ● Build AI-native capabilities for continuous infrastructure monitoring, anomaly detection, resilience validation, and automated remediation. ● Develop AI agents that continuously evaluate cloud architectures against sovereign design principles and regulatory requirements. ● Build AI-driven infrastructure compliance and Security-by-Design validation capabilities. ● Collaborate with Platform Engineering, Cloud Infrastructure, Security Engineering, SRE, Architecture, and CSAO teams to integrate AI assurance into infrastructure operations. ● Generate continuous evidence for cloud resilience, security posture, operational readiness, and regulatory assurance. ● Contribute to the AI-native System Assurance Platform (Solix) and the evolution of Iceberg into an intelligent assurance operating model. Key Deliverables Within the first 12 months, the successful candidate should help deliver AI agents capable of: ● Continuously validating sovereign cloud architecture across multiple regions. ● Monitoring infrastructure resilience, availability, and operational health in real time. ● Automatically detecting and remediating infrastructure security and compliance issues. ● Generating regulator-ready evidence for cloud governance and operational resilience. ● Improving cloud scalability and performance through AI-driven optimization. ● Supporting the CSAO vision of Visible, Controllable, Verifiable, Auditable, and Sustainable infrastructure.

Required Qualifications & Experience Experience building AI agents, LLM applications, or automation workflows for cloud infrastructure, platform engineering, or operations. Hands-on experience with AI frameworks (e.g., LangGraph, AutoGen, CrewAI, Semantic Kernel, OpenAI Agents SDK), RAG, MCP, and multi-agent systems. Experience designing cloud-native, multi-region, or sovereign cloud architectures. Strong understanding of cloud reliability, observability, security automation, IaC, and Policy-as-Code. Experience with mission-critical distributed systems, scalability, and performance optimization. Preferred Qualifications Bachelor's or Master's degree in Computer Science, AI, Cloud Computing, Cybersecurity, or related fields. 5+ years of experience in cloud, AI engineering, SRE, DevOps, or infrastructure engineering. Hands-on experience with Kubernetes, Terraform, Python/Go, public cloud platforms, CI/CD, and observability tools. Familiarity with Zero Trust, Secure-by-Design, and Sovereign Cloud principles. Leadership & Personal Attributes Strong ownership mindset with focus on reliability, security, and compliance. Ability to balance technical scalability with regulatory requirements. Excellent communication and stakeholder management skills.