Staff Software Engineer, AI Tooling

AirwallexSan Francisco, CA
$200,000 - $280,000

About The Position

As a Staff Software Engineer working on internal AI tooling, you will be responsible for helping keep $200b+ in payments, 300,000 companies, and our thousands of employees safe. You'll have the opportunity to partner with internal teams to help identify projects that can drive impact - like building internal automation tooling, owning our terabyte-scale log pipelines, and using AI to streamline how our team operates. We're not tied to specific projects, languages, and technology - we rely on smart people diving deep to find the best solutions to hard problems. You'll also be mentoring junior team members and continuing to grow our world-class engineering team.

Requirements

  • Bachelor’s degree in Computer Science, Information Security, or a related field.
  • 8+ years of experience as a Software Engineer.
  • Experience with production code bases
  • Experience with at least one scripting language (e.g. Python) and one systems programming language (eg. Golang, C/C++)
  • Experience with modern cloud infrastructure, including data pipelines, serverless workloads, and Kubernetes
  • Proven experience working autonomously on projects - delivering them to a high quality and on time.
  • Excellent communication and interpersonal skills, with the ability to work effectively with both technical and non-technical stakeholders.
  • Ability to dive deep to find the best solution to a problem
  • Obsessive curiosity and a willingness to ask questions, gather context, and learn

Nice To Haves

  • Experience working in a high-growth tech company.
  • Hands on experience with AI - specifically leveraging AI to build applications
  • Experience maintaining Linux operating systems

Responsibilities

  • Lead the development of AI tools and applications, from inception to implementation.
  • Support incident response efforts by building ad-hoc tools for threat hunting, remediation and scanners.
  • Build, monitor, and maintain underlying infrastructure, including Kubernetes clusters, serverless workloads, and ETL pipelines.
  • Sit with engineers to identify opportunities for automation and tooling development
  • Partner with product engineering teams to drive security outcomes - such as automation for patching, and development of gateways and other services to decrease risk.
  • Mentor and help grow other Software Engineers in the team.
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