Senior Software Engineer, AI Tooling
Airwallex · San Francisco, CA · 2 wk ago
HybridInformation Technology$200k–$250k/yrFull-time
About the role
Your role will be delivering AI Tooling being leveraged by all Airwallex employees. 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. This role is based in San Francisco, or Melbourne, or Sydney.
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.
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.
- Obsessive curiosity and a willingness to ask questions, gather context, and learn.
Qualifications
- Experience working in a high-growth tech company.
- Hands on experience with AI – specifically leveraging AI to build applications.
- Maintaining Linux operating systems.