Level

Airwallex

Staff Software Engineer, Productivity

Airwallex is hiring a Staff Software Engineer, Productivity in Seattle, United States. It pays $180k-$275k a year and Level rates it ; you can apply on Airwallex.

Level's read on this job

  • Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
  • The listed pay starts 7% above the typical software engineer posting on Level.
  • The posting allows some remote work.
  • Tools and skills the posting cites include Copilot, Cursor and LLM integration.
  • Level lists 507 other open roles at Airwallex.

AI in this role

copilotcursor
llm-integration

About Airwallex

Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own.

We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.

We're co-headquartered in San Francisco and Singapore, with more than 2,700 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles to see it in full.

 

How you'll make impact

Airwallex’s global engineering organization relies on strong developer platforms to move quickly, ship high-quality software, and operate efficiently. You’ll lead the technical strategy and delivery of the productivity systems that make that possible.

  • Lead the technical strategy and delivery of developer productivity platforms that help Airwallex’s global engineering organization move faster, ship higher-quality software, and operate more efficiently.

  • Identify productivity bottlenecks with feature teams, then design and build scalable solutions across developer tooling, CI/CD, cloud infrastructure, observability, messaging, and workflow automation.

  • Define and drive an AI-powered developer productivity strategy, evaluating and deploying solutions such as AI-assisted code review, automated test generation, intelligent build optimization, and agent-based root-cause analysis.

  • Set the technical bar across the Infrastructure & Productivity domain by shaping architecture, reviewing RFCs, establishing engineering practices, mentoring engineers, and balancing performance, scalability, maintainability, and cost.

  • Partner with engineers, SREs, and stakeholders across Airwallex to measure and improve developer experience through signals such as build times, deployment frequency, deployment reliability, and developer satisfaction.

You'll work from our Seattle office three days a week.

What we're looking for

Essentials

  • 8+ years of professional software engineering experience, including experience building or maintaining CI/CD pipelines, developer tooling, or platform infrastructure at scale.

  • Strong proficiency in a backend programming language such as Python, Java, Go, Kotlin, Rust, or Node.js, along with experience using the relevant frameworks.

  • Experience designing and developing large-scale distributed systems with high concurrency, high load, and high availability requirements.

  • Strong system design skills and experience defining technical strategy for a team or domain, including architectural decisions that balance performance, scalability, maintainability, and cost.

  • Hands-on experience with cloud services such as AWS, GCP, or Aliyun, and infrastructure management tools such as Terraform, Kubernetes, and Docker.

  • Experience providing technical leadership across teams, making architectural decisions, reviewing designs or RFCs, mentoring engineers, and raising engineering quality standards.

  • Experience with server technologies and the ability to optimise service response and data queries while addressing high-concurrency and high-availability challenges.

  • Experience partnering with engineering teams and stakeholders to understand workflows, identify productivity needs, and deliver reliable platform solutions.

Preferred

  • Experience using AI, machine learning, or LLM integrations to improve developer workflows, automate code review, generate tests, or accelerate engineering productivity.

  • Familiarity with AI-powered development tools such as Cursor or Copilot, and a perspective on how AI will transform developer productivity engineering.

  • Experience with observability and monitoring tools such as Grafana, Prometheus, Datadog, or the ELK stack.

  • Experience operating production infrastructure with strong incident-response practices.

  • Solid understanding of messaging systems such as Kafka, data streaming, container orchestration, and microservices architecture.

  • Experience in platform engineering or developer experience at a technology or fintech company.

  • A data-driven approach to measuring and improving developer productivity, including build times, deployment frequency, DORA metrics, or developer NPS.

  • Experience with build systems such as Bazel or Gradle, or internal developer portals.

  • A track record of moving quickly and developing solutions in dynamic, collaborative, and ambiguous environments while working with diverse decision-makers.

You'll thrive here if

  • You're comfortable owning the roadmap yourself.

  • You own the outcome and you don't wait for permission to fix what's broken.

  • You're comfortable with ambiguity. Give you a problem, not a prescription, and you'll run with it.

  • You say what you mean. You're direct, but you lead with respect.

  • You know when to align and when to just decide. Collaboration isn't a way to avoid accountability.

Learn more about your team

The Infrastructure & Productivity team at Airwallex builds the technical foundation that allows our global engineering organization to scale. Our customers are our fellow engineers, and our mission is to make their daily work faster, safer, and more effective by managing the core platforms everyone relies on, from Kubernetes and Kafka to CI/CD pipelines and observability systems. The real challenge lies in keeping these global systems highly reliable and secure while simultaneously optimizing cloud costs, automating manual support, and driving standardization without slowing down product delivery. We operate under the philosophy that best practices should be the path of least resistance, not a forced mandate. If you're a systems thinker who wants to work close to the core of the company and directly shape how we build, deploy, and scale software worldwide, this is where that work happens.



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.

How we rate this

Staff Software Engineer, Productivity at Airwallex rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

LLM IntegrationCopilotCursor

Also common in software engineer jobs at this level

Pay

This job starts at
$180k
Typical software engineer job
$168k

This posting starts 7% above the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. How have you integrated a large language model into a production application?
  2. Walk me through how you've used Copilot in your day-to-day work.
  3. What are the limits of Cursor that you've run into, and how did you work around them?

Adapt your resume

  • List these exact terms on your resume: LLM Integration, Copilot, and Cursor. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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