Senior Software Engineer - AI Tools

Airwallex5 days ago

Location

AU - Melbourne

Type

Full Time

Level

Senior

Role

Senior Software Engineer

Posted

Mar 9, 2026

Full TimeSenior

The role

Summary

Senior Software Engineer role at Airwallex focusing on building internal AI tools and automation systems to support the company's $150B+ payment processing platform. This position requires 8+ years of experience and involves developing AI-powered security tools, maintaining cloud infrastructure, and mentoring junior engineers while working with cutting-edge technologies like Kubernetes and terabyte-scale data pipelines.

What you'll do

AI Tools Development: Lead the development of AI tools and applications from inception to implementation

Incident Response Support: Build ad-hoc tools for threat hunting, remediation and security scanners

Infrastructure Management: Build, monitor, and maintain Kubernetes clusters, serverless workloads, and ETL pipelines

Automation Identification: Partner with engineers to identify opportunities for automation and tooling development

Security Integration: Work with product teams to drive security outcomes through automation and gateway services

Team Mentorship: Mentor and help grow other Software Engineers in the team

Data Pipeline Management: Maintain and optimize terabyte-scale log processing pipelines

Cross-team Collaboration: Partner with internal teams to identify high-impact automation projects

What we look for

Technical

Programming LanguagesExperience with at least one scripting language (Python) and one systems language (Go, C/C++)

Cloud InfrastructureExperience with modern cloud infrastructure, data pipelines, serverless workloads, and Kubernetes

Production SystemsExperience working with production codebases at scale

Autonomous DeliveryProven experience working independently on projects and delivering high-quality results on time

Education

Bachelor's DegreeComputer Science, Information Security, or related technical field

Experience

Software Engineering8+ years of professional software engineering experience

High-growth EnvironmentExperience working in fast-paced, high-growth technology companies (preferred)

AI ApplicationsHands-on experience leveraging AI to build practical applications (preferred)

Linux AdministrationExperience maintaining Linux operating systems (preferred)

Skills

Required skills

Python ProgrammingProficiency in Python for scripting and automation development

Systems ProgrammingExperience with Go, C, or C++ for infrastructure and performance-critical applications

KubernetesContainer orchestration and cluster management expertise

Cloud ArchitectureDesign and implementation of scalable cloud-native systems

Data Pipeline EngineeringBuilding and maintaining large-scale ETL and data processing systems

Problem SolvingAbility to dive deep and find optimal solutions to complex technical challenges

CommunicationStrong interpersonal skills for working with technical and non-technical stakeholders

Nice to have

AI/ML ImplementationHands-on experience building AI-powered applications and tools

Security EngineeringKnowledge of security tools, threat hunting, and remediation techniques

Linux System AdministrationExperience maintaining and optimizing Linux-based systems

Fintech ExperienceUnderstanding of financial technology and payment systems

Serverless ArchitectureExperience with serverless computing platforms and patterns

Compensation & benefits

Benefits

Global Impact

Work on systems processing $150B+ in payments for 200,000+ businesses worldwide

Professional Growth

Accelerated learning opportunities in a high-growth fintech environment

Innovation Focus

Work with cutting-edge AI and automation technologies

Mentorship Opportunities

Lead and mentor junior engineers while growing technical leadership skills

Interview process

1
Initial Screening — Phone or video call to discuss background and role fit
2
Technical Assessment — Coding challenge or technical discussion focused on systems design and AI applications
3
Team Interview — Meet with engineering team members to assess collaboration and technical depth
4
Final Interview — Discussion with senior leadership about vision, impact, and cultural alignment