Senior Software Engineer, Infrastructure AI

About the role

Airwallex is the only unified payments and financial platform for global businesses. We empower over 200,000 businesses worldwide with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. We are a globally distributed team of over 2,200 people in 26 offices, backed by leading investors and valued at US$8 billion.

Responsibilities

• Design and implement autonomous agents on the Quartermaster platform that handle SRE, DevOps, and DBA workflows — including incident investigation and remediation, infrastructure provisioning, deployment orchestration, database operations, and capacity management.
• Build robust agent loops with planning, reasoning, tool-use, error recovery, and human-in-the-loop escalation.
• Integrate agents with infrastructure tooling: give agents the ability to interact with real systems through well-designed tool interfaces.
• Evaluate and improve agent performance: define metrics for agent effectiveness and build evaluation frameworks.
• Collaborate cross-functionally: partner with SRE, DevOps, and platform engineering teams to identify the highest-value workflows for agent automation.
• Contribute to the technical vision for how AI agents will transform infrastructure operations.

Requirements

• 5+ years of professional software engineering experience, with strong proficiency in backend languages such as Python, Go, Java, or Kotlin.
• Practical experience with cloud platforms (AWS, GCP, or Aliyun), container orchestration (Kubernetes), infrastructure-as-code (Terraform), and CI/CD systems.
• Strong system design skills with the ability to architect reliable, safe, and scalable agent systems that interact with production infrastructure.
• Excellent communication and collaboration skills, with a track record of working effectively across cross-functional teams in a global environment.

Qualifications

• Hands-on experience building agentic AI systems: designing and building AI agents that autonomously plan, reason, and execute multi-step tasks using LLMs.
• Experience with agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen, or custom agent frameworks) and LLM APIs (OpenAI, Anthropic, etc.).
• Experience with observability and monitoring systems (Grafana, Prometheus, Datadog, ELK stack) — either building them or building agents that interact with them.
• Experience with database administration or automation (schema migrations, query optimization, backup/recovery) — knowledge that helps build effective DBA agents.
• Understanding of SRE practices: incident response, runbooks, postmortems, SLOs/SLIs — the operational domain these agents will automate.
• A forward-thinking mindset about where AI agents are headed. You have opinions on agent reliability, safety, evaluation, and the path toward increasingly autonomous infrastructure systems.

Skills

• Strong understanding of cloud platforms (AWS, GCP, or Aliyun).
• Practical experience with container orchestration (Kubernetes).
• Experience with infrastructure-as-code (Terraform).
• Knowledge of CI/CD systems.
• Experience with observability and monitoring systems (Grafana, Prometheus, Datadog, ELK stack).
• Experience with database administration or automation (schema migrations, query optimization, backup/recovery).
• Understanding of SRE practices (incident response, runbooks, postmortems, SLOs/SLIs).
• Experience with LLM APIs (OpenAI, Anthropic, etc.) and agent orchestration frameworks.

Benefits

• Proudly founded in Melbourne, with a global team of over 2,200 people in 26 offices.
• 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.
• Opportunity to work on cutting-edge AI and infrastructure automation projects.
• Competitive compensation range of $140K - $240K.
• Flexible work arrangements and a supportive company culture.

Pay

• $140K - $240K

Schedule

• Hybrid role based in Seattle, WA.