Senior Software Engineer (Infrastructure AI)

TL;DR

Senior Software Engineer (Infrastructure AI): Designing and building goal-oriented AI agents to automate SRE, DevOps, and DBA workflows with an accent on agent architecture, planning, and reasoning loops. Focus on creating reliable autonomous systems that interact with Kubernetes, Terraform, and cloud APIs to handle production infrastructure operations.

Location: Hybrid role based in Seattle, WA

Company

Airwallex is a unified payments and financial platform for global businesses, providing integrated solutions for business accounts, payments, and treasury management.

What you will do

• Build autonomous AI agents on the Quartermaster platform to handle SRE, DevOps, and DBA workflows, including incident investigation and provisioning.
• Design robust agent architectures with planning, reasoning, tool-use, and human-in-the-loop escalation mechanisms.
• Integrate AI agents with infrastructure tools such as Kubernetes, Terraform, cloud APIs (AWS, GCP, Aliyun), and CI/CD pipelines.
• Define and implement evaluation frameworks to measure agent effectiveness, accuracy, and task completion rates.
• Collaborate with platform engineering and SRE teams to identify and automate high-value operational pain points.
• Contribute to the long-term technical vision for how agentic AI will transform infrastructure operations.

Requirements

• 5+ years of professional software engineering experience with proficiency in Python, Go, Java, or Kotlin.
• Practical experience with cloud platforms (AWS, GCP, or Aliyun), Kubernetes, and Terraform.
• Strong system design skills to architect safe and scalable agent systems for production environments.
• Must be based in Seattle, WA (Hybrid role).
• Excellent communication skills and experience working across cross-functional teams in a global setting.

Nice to have

• Hands-on experience building agentic AI systems using LLMs and orchestration frameworks (LangGraph, CrewAI, AutoGen).
• Experience with observability and monitoring stacks like Grafana, Prometheus, Datadog, or ELK.
• Knowledge of database administration automation and SRE practices such as SLOs/SLIs and runbooks.
• Deep interest in the future of autonomous infrastructure systems and agent reliability.

Culture & Benefits

• High-ownership environment with founder-like energy and a focus on real impact.
• Opportunity to work at an $8B valued fintech leader with a global footprint.
• Collaborative culture that encourages moving fast, thinking from first principles, and using AI to work smarter.
• Exposure to high-visibility problems and cutting-edge agentic AI development.