Staff Software Engineer, Data Platform
Airwallex is hiring a Staff Software Engineer, Data Platform in Seattle, United States. It pays $200k-$260k a year and Level rates it ; you can apply on Airwallex.
Level's read on this job
- Works on AI ●●●○ is how Level rates this software engineer role: the daily work is on AI products, without building the model.
- Pay on this posting starts 20% higher than the typical software engineer posting on Level.
- Some of the work can be done remotely, according to the posting.
- The posting mentions Databricks, AI agents and data platform among its tools and skills.
- Airwallex has 484 other open roles on Level.
AI in this role
Lead the architecture and development of scalable data and AI agent-ready platform infrastructure at Airwallex.
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 is evolving its data and AI platforms into an agent-ready foundation for company-wide decision-making and measurable business impact. As a Staff Software Engineer, you'll shape the architecture and technical direction that makes this possible.
Own the strategy, architecture, development, and operation of Airwallex's data and AI platforms, turning data and AI capabilities into measurable business impact.
Identify and solve company-wide challenges through scalable data platform solutions, influencing technical direction across multiple teams.
Shape the evolution of our data ecosystem into AI agent-ready infrastructure that supports real-time performance, analytics, natural-language querying, and data-driven decision-making.
Raise the bar for technical excellence across data platforms by solving complex problems hands-on, advocating for strong engineering practices, and mentoring engineers and technical leaders.
You'll work from our Seattle office three days a week.
What we're looking for
Essentials
8+ years of experience in data platforms or an equivalent combination of professional experience and academic exposure in a quantitative field.
Experience leading company-wide initiatives across multiple teams or influencing technical roadmap planning.
A track record of collaborating with diverse teams and stakeholders to drive tangible business outcomes.
The ability to balance execution and velocity with in-depth research, statistical understanding, and scalable system design.
Experience mentoring and investing in the development of scientists, engineers, and peers.
Technical leadership experience across significant data platform projects, including ETL frameworks, metrics stores, infrastructure management, and data security.
Experience building, deploying, and maintaining reliable data pipelines across multiple geographies and at scale.
Familiarity with workflow or orchestration frameworks such as Airflow and dbt.
Preferred
Hands-on experience designing data processing patterns for a modern lakehouse architecture.
Experience designing and developing standard framework modules, high-performance services, and client libraries for big data.
Experience with technologies such as GCP, Databricks, BigQuery, Dataproc, Kafka, Kubernetes, Spark, Dataflow, Google Cloud Storage, and Airflow.
Excellent written and verbal communication skills, with the ability to tailor communication for leadership, users, and company-wide audiences.
Ability to rapidly evaluate technologies and run proofs of concept to inform architecture decisions.
Experience thriving in a complex environment.
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 know when to align and when to just decide. Collaboration isn't a way to avoid accountability.
You’re comfortable operating across time zones with a globally distributed team, including colleagues based in APAC and EMEA.
Learn more about your team
The Knowledge Platform sits at the foundation of Airwallex’s Data and AI strategy. We are evolving traditional data infrastructure into knowledge infrastructure—turning structured and unstructured information into trusted, reusable context that helps people and AI systems make better decisions and take action.
You’ll build the platform end to end, from core technologies such as Databricks, Clickhouse, Spark, and Kafka to real-time analytics, knowledge retrieval and indexing, model infrastructure, agent capabilities, and AI interaction history. You’ll also develop the evaluation, annotation, feedback, governance, permission, and freshness frameworks required to operate AI reliably at global financial scale.
Our mission is making this ecosystem truly agent-ready. That means enabling teams to explore data through natural language, investigate business drivers in real time, and give AI systems secure access to the context and capabilities they need to support decisions and execute workflows.
If you want to build the foundation that turns Airwallex’s data into knowledge, knowledge into intelligence, and intelligence into measurable business impact, 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, Data Platform at Airwallex rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Pay
- This job starts at
- $200k
- Typical software engineer job
- $167k
This posting starts 20% above the typical software engineer job. See software engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where data platform was part of your work. What did you do?
- Tell me about a project where system design was part of your work. What did you do?
- Tell me about a project where architecture was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Data Platform, System Design, Architecture, and Distributed Systems. 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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