Software Engineer, Infrastructure AI

Senior Software Engineer · Senior · Full Time · Remote

US - Seattle · RemoteUSD 130k – 200k1mo ago
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Role

What you'll do.

Join Airwallex's Infrastructure & Productivity team as a Senior Software Engineer building next-generation AI agents that autonomously automate infrastructure operations, incident response, and DevOps workflows. You'll design goal-oriented AI systems operating on Quartermaster, our internal agent platform, enabling autonomous SRE, database management, and infrastructure provisioning across a global engineering organization. This role requires expertise in backend systems, cloud infrastructure, agentic AI architecture, and production-grade system design with a focus on safety, reliability, and human-in-the-loop escalation for large-scale financial infrastructure.

Responsibilities

  • Design and Build Infrastructure AI Agents: Architect and implement autonomous goal-oriented agents on the Quartermaster platform that handle complex SRE, DevOps, and database administration workflows. These agents will autonomously investigate incidents, provision infrastructure, orchestrate deployments, and manage operational tasks that traditionally require human intervention. You'll work with agent planning and reasoning loops, ensuring agents can decompose multi-step infrastructure tasks and execute them reliably against production systems.
  • Engineer Safety and Reliability Systems: Design robust agent architectures with comprehensive safety guardrails, planning mechanisms, error recovery protocols, and human-in-the-loop escalation patterns. Since infrastructure agents touch production systems handling financial transactions at global scale, you'll implement auditable decision trails, predictable behavior patterns, rollback capabilities, and validation checks that ensure agents operate reliably and safely in production environments.
  • Integrate with Infrastructure Tooling: Enable agents to interact with complex infrastructure ecosystems by building well-designed tool interfaces and integrations with Kubernetes, Terraform, cloud APIs (AWS, GCP, Aliyun), monitoring platforms, observability systems, databases, and CI/CD pipelines. You'll abstract operational complexity into structured agent capabilities while maintaining proper authentication, authorization, and audit logging.
  • Define and Measure Agent Performance: Establish comprehensive metrics for evaluating agent effectiveness including task completion rates, accuracy, time-to-resolution, escalation frequency, and cost reduction. Build evaluation frameworks and benchmarking systems to measure whether agents reliably achieve their operational goals, identify failure modes, and continuously improve agent performance through data-driven insights and iterative refinement.
  • Collaborate on Infrastructure Operations: Work closely with SRE, DevOps, and platform engineering teams across global offices to identify highest-value workflows for agent automation. Translate operational pain points into concrete agent requirements, gather domain expertise, and partner with teams to validate agent solutions in real operational contexts, ensuring agents solve genuine infrastructure challenges.
  • Shape Infrastructure AI Vision: Contribute to the technical direction and long-term strategy for how AI agents will transform Airwallex's infrastructure operations. Stay current with agentic AI advancements, evaluate emerging technologies and frameworks, propose architectural innovations, and help establish best practices for autonomous infrastructure management at enterprise scale.

Qualifications

What we look for.

Technical

  • Backend Software Engineering

    3+ years of professional software engineering experience with proven expertise building production-grade systems. Strong proficiency in backend programming languages including Python, Go, Java, or Kotlin. You should have a track record of designing scalable, maintainable, and reliable software systems.

  • Cloud Infrastructure and Platform Engineering

    Practical hands-on experience with modern cloud platforms including AWS, GCP, or Aliyun. Deep understanding of containerization and orchestration technologies, particularly Kubernetes. Proficiency with infrastructure-as-code tools such as Terraform. Familiarity with CI/CD systems and deployment automation practices across distributed environments.

  • System Design and Architecture

    Strong system design skills with demonstrated ability to architect complex, reliable, and scalable systems. You understand distributed systems principles, can design for safety and observability, and can make informed trade-offs between consistency, availability, and partition tolerance in production environments.

  • Agentic AI Development

    Hands-on experience designing and building autonomous AI agent systems that plan, reason, and execute multi-step tasks using large language models. Practical knowledge of agent loop design, tool orchestration, state management, memory systems, and agent coordination patterns. This is a core technical requirement.

Education

  • Computer Science Foundation

    Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience demonstrating strong computer science fundamentals and problem-solving skills.

Experience

  • Infrastructure and DevOps Operations

    Demonstrated experience working with SRE practices, incident response procedures, operational runbooks, and production monitoring. Familiarity with observability platforms and the operational domain where infrastructure agents will operate.

  • Database Systems and Administration

    Experience with database operations, schema management, query optimization, backup and recovery procedures, or database automation. Understanding of database challenges helps when building effective database administration agents.

  • Cross-Functional Collaboration in Global Teams

    Proven track record collaborating effectively across engineering teams in geographically distributed, multicultural environments. Experience communicating complex technical concepts to diverse stakeholders and working in asynchronous communication contexts.

Skills

Required

  • Python

    Production-grade Python development with focus on building robust, maintainable systems for backend services and automation workflows.

  • Go

    Systems programming with Go for building high-performance, concurrent infrastructure tooling and services, or equivalent experience in other backend languages like Java or Kotlin.

  • Kubernetes

    Deep understanding of Kubernetes architecture, container orchestration concepts, cluster management, networking, storage, and troubleshooting in production environments.

  • Terraform

    Infrastructure-as-code proficiency using Terraform or similar IaC tools for managing cloud infrastructure, state management, and infrastructure versioning.

  • Cloud Platform APIs

    Hands-on experience with major cloud providers (AWS, GCP, Aliyun) and their service APIs for compute, networking, storage, and other infrastructure services.

  • Large Language Model Integration

    Experience working with LLM APIs such as OpenAI, Anthropic, or similar platforms for building AI-powered applications and understanding LLM capabilities and limitations.

  • System Design

    Ability to design complex systems considering scalability, reliability, maintainability, security, and operational concerns. Experience making architectural trade-offs and designing for production environments.

  • Software Architecture Patterns

    Solid understanding of distributed systems patterns, asynchronous processing, event-driven architectures, and patterns for building reliable production systems.

Preferred

  • Agent Orchestration Frameworks

    Nice to have

    Experience with agentic AI frameworks such as LangGraph, CrewAI, AutoGen, or custom agent orchestration platforms. Understanding of agent planning, tool selection, and execution patterns.

  • Observability and Monitoring Systems

    Nice to have

    Experience building or working extensively with monitoring platforms such as Grafana, Prometheus, Datadog, or ELK stack. Knowledge of observability architecture and metrics-driven decision making.

  • Database Administration Automation

    Nice to have

    Experience with database operations including schema migrations, query optimization, performance tuning, backup and recovery procedures, or building database automation tools.

  • SRE and Incident Response

    Nice to have

    Background in site reliability engineering, incident response coordination, runbook development, postmortem facilitation, or defining SLOs and SLIs for service reliability.

  • CI/CD Pipeline Development

    Nice to have

    Experience designing and implementing continuous integration and continuous deployment systems, build automation, test infrastructure, and deployment orchestration.

  • Production Infrastructure Operations

    Nice to have

    Hands-on experience operating large-scale production infrastructure, troubleshooting infrastructure issues, capacity planning, and understanding operational challenges at scale.

  • Prompt Engineering and LLM Fine-Tuning

    Nice to have

    Experience crafting effective prompts for LLMs, understanding model behavior and output formats, or experience with LLM fine-tuning and adaptation for specific domains.

  • Safety and Compliance in Infrastructure

    Nice to have

    Understanding of safety-critical systems design, audit logging requirements, compliance considerations, and building predictable systems for production environments handling sensitive operations.

Tech stack

Languages

PythonGoJava/Kotlin

Frameworks

LangGraphCrewAIAutoGenQuartermaster

Databases

PostgreSQLRedisElasticsearch

Tools

KubernetesTerraformAWS/GCP/AliyunPrometheusGrafanaDatadogGit/GitHub

Other

OpenAI APIAnthropic APIAgent Planning and ReasoningInfrastructure Safety and Reliability

Compensation

Pay and benefits.

Base·USD 130,000 – 200,000

Equity·Stock options

Benefits

  • Equity and Stock Options

    Competitive stock option packages providing meaningful ownership stake and upside participation in Airwallex's growth, backed by world-leading investors valuing the company at US$11 billion.

  • Comprehensive Health and Wellness Benefits

    Health insurance coverage including medical, dental, and vision plans. Wellness programs and mental health support to maintain work-life balance in a global, fast-paced environment.

  • Professional Development and Learning

    Budget and support for conferences, courses, certifications, and continuous learning opportunities. Access to cutting-edge infrastructure and AI technologies to stay at the forefront of industry developments.

  • Flexible Work Arrangements

    Hybrid work model based in Seattle, WA with flexibility to balance office collaboration and remote work. Global team spanning 27 offices enables asynchronous collaboration and international exposure.

  • Generous Time Off and Paid Leave

    Competitive paid time off policies including vacation days and paid parental leave supporting work-life balance for global team members.

  • Infrastructure and Tooling Investment

    Access to world-class development infrastructure, cutting-edge cloud platforms, and internal tools (including proprietary Quartermaster platform) that enable you to do your best work.

  • Global Impact and Scale

    Opportunity to work on infrastructure serving over 250,000 businesses worldwide including leading companies like Brex, Navan, Qantas, and SHEIN. Your work directly impacts global financial operations at scale.

Full posting

Original listing.

About Airwallex

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 250,000 businesses worldwide – including Brex, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.

Proudly founded in Melbourne, we have a team of over 2,300 of the brightest and most innovative people in tech across 27 offices around the globe. Valued at US$11 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.

 

Attributes We Value

We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.

You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.

 

About the Team

Airwallex’s Infrastructure & Productivity team is on a mission to turn everyday software engineers into superheroes. The team builds and maintains the internal platforms, tooling, and CI/CD infrastructure that power Airwallex’s global engineering organization, serving hundreds of engineers across multiple offices and time zones.

The team is now pioneering a bold new direction: an AI agent ecosystem where goal-oriented agents continuously operate across every repository — automating infrastructure operations, incident response, database management, and DevOps workflows. Built on Quartermaster, our internal agent platform, these agents autonomously plan, reason, and execute multi-step tasks against real infrastructure. You will be joining at the ground floor of this initiative, building the intelligent systems that fundamentally change how infrastructure work gets done at Airwallex.

What You’ll Do

As a Senior Software Engineer on the Infrastructure AI team, you will design, build, and operate goal-oriented AI agents that automate SRE, DevOps, and DBA workflows across Airwallex’s global infrastructure. You won’t be doing operations work yourself — you’ll be building the AI systems that do it. Your agents will autonomously investigate incidents, provision infrastructure, manage databases, execute deployments, and handle the operational tasks that traditionally require human intervention.

You will work on top of Quartermaster, Airwallex’s internal agent platform, building domain-specific agents that interact with real infrastructure tooling (Kubernetes, Terraform, cloud APIs, databases, monitoring systems). This role requires you to think deeply about agent architecture — planning and reasoning loops, tool selection and execution, safety guardrails, human-in-the-loop escalation, and how to make autonomous systems reliable in production infrastructure environments.

This hybrid role is based in Seattle, WA.

Responsibilities

  • Build goal-oriented infrastructure AI agents: 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.

  • Design agent architectures for safety and reliability: Build robust agent loops with planning, reasoning, tool-use, error recovery, and human-in-the-loop escalation. Infrastructure agents touch production systems — they must be safe, auditable, and predictable.

  • Integrate agents with infrastructure tooling: Give agents the ability to interact with real systems — Kubernetes, Terraform, cloud APIs (AWS, GCP, Aliyun), monitoring/observability platforms, databases, and CI/CD pipelines — through well-designed tool interfaces.

  • Evaluate and improve agent performance: Define metrics for agent effectiveness (task completion rate, accuracy, time-to-resolution, escalation rate). Build evaluation frameworks to measure whether agents reliably achieve their goals.

  • Collaborate cross-functionally: Partner with SRE, DevOps, and platform engineering teams to identify the highest-value workflows for agent automation. Understand real operational pain points and translate them into agent capabilities.

  • Shape the future of infrastructure AI at Airwallex: Contribute to the technical vision for how AI agents will transform infrastructure operations. Stay at the forefront of agentic AI developments and bring new ideas into the team.

Who You Are:

We’re looking for people who meet the minimum requirements for this role. The preferred qualifications are great to have, but are not mandatory:

  • 3+ years of professional software engineering experience, with strong proficiency in backend languages such as Python, Go, Java, or Kotlin.

  • Infrastructure and cloud knowledge: Practical experience with cloud platforms (AWS, GCP, or Aliyun), container orchestration (Kubernetes), infrastructure-as-code (Terraform), and CI/CD systems. You understand the domain the agents will operate in.

  • 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.

Preferred Qualifications:

  • Hands-on experience building agentic AI systems: You have designed and built AI agents that autonomously plan, reason, and execute multi-step tasks using LLMs. This includes agent loop design, tool-use orchestration, and managing agent state and memory. This is a core requirement, not a nice-to-have.

  • 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.

Applicant Safety Policy: Fraud and Third-Party Recruiters

To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.

Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.

Equal opportunity

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

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