Software Engineer, Infrastructure AI

The role

You will design, build, and operate goal-oriented AI agents that automate SRE, DevOps, and DBA workflows. These agents will interact with infrastructure tooling like Kubernetes, Terraform, and cloud APIs to handle tasks such as incident investigation and infrastructure provisioning.

What you will do

• Build goal-oriented infrastructure AI agents on the Quartermaster platform
• Design agent architectures for safety and reliability including planning and reasoning loops
• Integrate agents with infrastructure tooling like Kubernetes, Terraform, and cloud APIs
• Evaluate and improve agent performance using effectiveness metrics
• Collaborate cross-functionally with SRE, DevOps, and platform engineering teams
• Contribute to the technical vision for how AI agents transform infrastructure operations

Required qualifications

• 3+ years of professional software engineering experience
• Strong proficiency in backend languages such as Python, Go, Java, or Kotlin
• Practical experience with cloud platforms (AWS, GCP, or Aliyun)
• Practical experience with container orchestration (Kubernetes)
• Practical experience with infrastructure-as-code (Terraform)
• Practical experience with CI/CD systems
• Strong system design skills to architect reliable, safe, and scalable agent systems
• Excellent communication and collaboration skills

Nice to have

• Hands-on experience building agentic AI systems
• Experience with agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen, or custom agent frameworks)
• Experience with LLM APIs (OpenAI, Anthropic, etc.)
• Experience with observability and monitoring systems (Grafana, Prometheus, Datadog, ELK stack)
• Experience with database administration or automation
• Understanding of SRE practices

About the company

Airwallex is an AI-native financial operating system. It provides financial infrastructure for global commerce and is co-headquartered in San Francisco and Singapore.