Staff/Senior Devops Engineer, Data&AI Infrastructure

Airwallex1 weeks ago

Location

SG - Singapore

Type

Full Time

Level

Senior

Role

DevOps Engineer

Posted

Mar 4, 2026

Full TimeSenior

The role

Summary

Airwallex is seeking a Staff/Senior DevOps Engineer to join their Data+AI Infrastructure team in Singapore, focusing on building and maintaining scalable data infrastructure using technologies like Kafka, Flink, and Spark. The role involves designing DevOps strategies, managing cloud infrastructure across multiple countries, and developing observability capabilities to support the company's 10x growth trajectory.

What you'll do

DevOps Strategy Leadership: Lead the design and implementation of comprehensive DevOps strategies aligned with business growth objectives

Cloud Infrastructure Management: Develop and evolve cloud infrastructure optimized for performance, scalability, and security to support 10x growth

Global Infrastructure Operations: Own and manage Data and AI infrastructure across multiple countries and regions

Cross-functional Collaboration: Work closely with data engineering and analytics teams to provide the right tools and platforms

Observability Development: Build operational platform management capabilities and observability systems to decrease problem discovery time

Platform Enhancement: Create and enhance tooling and platforms to improve engineering team self-service capabilities

Standards Consensus Building: Build consensus among DevOps Engineers across geographies about tools and practices, evolving them into agreed standards

Data Infrastructure Maintenance: Develop and maintain data infrastructure incorporating Kafka, Flink, and Spark technologies

Performance Optimization: Ensure infrastructure stability without sacrificing agility or security

What we look for

Technical

DevOps Engineering ExperienceMinimum 5+ years of hands-on DevOps engineering experience

Container OrchestrationDemonstrated expertise in Kubernetes for container management and orchestration

Infrastructure as CodeProven experience with Terraform for infrastructure provisioning and management

GitOps ImplementationStrong background in GitOps practices and workflows

Data Streaming PlatformsPrior experience working with Kafka, Flink, or Spark for data streaming

Programming LanguagesHands-on experience with Python, Golang, or Java

Cloud Platform ManagementExperience managing multi-cloud environments at scale

Observability and MonitoringExperience building monitoring, alerting, and observability systems

Education

Bachelor's DegreeBachelor's degree or above in Computer Science or Engineering related majors

Experience

Senior Level ExperienceAround 6 years or at least 5 years experience with ability to solve coding and system design problems independently

Staff Level ExperienceOver 10 years or at least 8 years experience with demonstrated in-depth understanding of project complexity and code system design

Data Infrastructure ExperienceProven track record in data engineering infrastructure and streaming platforms

Global Operations ExperienceExperience managing infrastructure across multiple geographical regions

Skills

Required skills

KubernetesContainer orchestration and management expertise

TerraformInfrastructure as Code implementation and management

GitOpsGit-based operational workflows and deployment practices

Data StreamingExperience with Kafka, Flink, or Spark platforms

ProgrammingProficiency in Python, Golang, or Java

DevOps Engineering5+ years of comprehensive DevOps experience

Cloud InfrastructureMulti-cloud environment management and optimization

System DesignAbility to design scalable and resilient systems

Nice to have

Financial Services ExperienceBackground in fintech or financial services infrastructure

Global OperationsExperience managing infrastructure across multiple regions

Leadership ExperienceAbility to build consensus and lead technical initiatives

Data EngineeringUnderstanding of data pipelines and analytics infrastructure

Security Best PracticesKnowledge of security frameworks and compliance requirements

Performance OptimizationExperience optimizing systems for high-scale operations

Compensation & benefits

Benefits

Global Work Environment

Opportunity to work with a team of over 2,000 innovative professionals across 26 offices globally

High-Impact Projects

Work on complex, high-visibility problems with exceptional teammates

Career Growth

Accelerated learning opportunities and true ownership in a fast-growing fintech company

Innovation Focus

Access to AI tools and cutting-edge technology to solve problems faster

Equal Opportunity

Inclusive workplace that values diversity and provides equal opportunities for all employees

Disability Accommodation

Support for employees with disabilities or special needs requiring accommodation

Interview process

1
Application Review — Initial screening of resume and qualifications by recruitment team
2
Technical Phone Screen — 45-60 minute phone interview covering DevOps concepts, system design, and technical experience
3
Technical Assessment — Hands-on coding or infrastructure design challenge focusing on Kubernetes, Terraform, or data streaming
4
System Design Interview — Deep-dive technical discussion on designing scalable data infrastructure and DevOps strategies
5
Behavioral Interview — Discussion of leadership experience, cross-functional collaboration, and alignment with Airwallex values
6
Final Round — Meet with senior leadership to discuss vision, impact, and cultural fit within the Data+AI Infrastructure team