Senior Infrastructure AI Engineer - Autonomous DevOps

Openkrill; United States; Hybrid; USD 140,000 - 210,000; Full time

Job summary

Airwallex is seeking a Senior Software Engineer for the Infrastructure AI team to design, build, and operate goal-oriented AI agents that automate SRE, DevOps, and DBA workflows across Airwallex’s global infrastructure. You will work atop the Quartermaster platform, interfacing with Kubernetes, Terraform, cloud APIs, and observability stacks.

This hybrid role is based in Seattle, WA, and requires deep system design skills, safety-focused planning, and a passion for autonomous infrastructure

Qualifications

• 3+ years of professional software engineering experience.
• Strong backend proficiency in Python, Go, Java, or Kotlin.
• Experience with cloud platforms (AWS, GCP, Aliyun) and Kubernetes.
• Experience with Terraform and CI/CD systems.

Responsibilities

• Build goal-oriented AI agents for SRE, DevOps, and DBA workflows.
• Design robust agent architectures with safety, planning, and memory.
• Integrate agents with real infrastructure tooling (Kubernetes, Terraform, cloud APIs).
• Define metrics to measure agent effectiveness (task completion, error rates).
• Collaborate with cross-functional teams to identify top automation opportunities.

Skills

Backend languages

System design

Communication

Tools

Kubernetes

Terraform

CI/CD

AWS

GCP

Aliyun

Job description

Airwallex is seeking a Senior Software Engineer for the Infrastructure AI team to design, build, and operate goal-oriented AI agents that automate SRE, DevOps, and DBA workflows across Airwallex’s global infrastructure. You will work atop the Quartermaster platform, interfacing with Kubernetes, Terraform, cloud APIs, and observability stacks.

This hybrid role is based in Seattle, WA, and requires deep system design skills, safety-focused planning, and a passion for autonomous infrastructure