Associate Engineer

at  Westpac New Zealand

Mō te tūranga | About the Role
The Enterprise ML Platform is WNZL’s core infrastructure for advanced data science and machine learning operations, enabling efficient, secure model deployment and scaling across the bank. The platform provides WNZL’s engineering teams with robust tools to build and operate machine learning (ML) and data solutions that directly support key business objectives.
As an Associate Engineer, you’ll work with our ML Platform Squad to support, maintain, and optimise infrastructure, primarily using AWS technologies. You’ll collaborate with cross-functional teams, including Institutional & Business Banking (IBB) and Customer Analytics & Insights (CAI), to ensure that the platform meets WNZL’s evolving needs in predictive modelling, analytics, and operational efficiency.

Key Responsibilities

• Deploying and operating infrastructure components on AWS to support machine learning workflows and production models
• Ensuring platform security, scalability, and availability for ML applications
• Assisting with system monitoring, performance tuning, and troubleshooting within the AWS environment
• Developing and maintaining automation scripts and processes for efficient operations
• Supporting DevOps practices, including CI/CD pipelines and containerisation for ML models

Nā tāu rourou | What will you bring?

• Bachelor’s or master’s degree in computer science, Information Technology, or a related field
• 1+ years of hands-on experience with AWS technologies (e.g., SageMaker, EC2, S3, Lambda, Glue, IAM), with a focus on infrastructure setup and maintenance
• Familiarity with DevOps tools and practices, including CI/CD, Docker, Jenkins, and infrastructure as code (e.g., Terraform or CloudFormation)
• Basic programming skills (Python, Shell scripting) and knowledge of version control tools like Git
• Experience with Linux/Unix environments and cloud-based monitoring tools
• Strong analytical and problem-solving skills, with attention to detail
• Effective communication skills, with the ability to work collaboratively within cross-functional teams
• Eagerness to learn new technologies, grow in your role, and adapt in a dynamic, fast-paced environment

Westpac Hei Wāhi Mahi | Working at Westpac

In addition to immersing yourself in a supportive team environment, you’ll receive some great job perks and benefits including:

• 4 weeks standard holiday + 5 additional days of wellbeing leave to support you to be your best
• Additional purchased leave options up to 4 weeks per year
• Banking benefits, insurance discounts and superannuation scheme
• Growth and development – we provide opportunities for development and promote internal mobility
• Recognition - we recognise and reward our star performers
• School holiday subsidy - help you balance work and family during school holiday
• 2 Volunteer days per year

Ko mātou tēnei | Our Organisation
At Westpac, we’re working together to build a fairer and stronger New Zealand for our people, customers, and communities. For over 160 years we’ve been driven by our purpose to Create Better Futures Together.
What makes us unique are the incredible people we’re lucky enough to have walk through our doors every day. The giant ‘W’ on our building doesn’t just stand for Westpac – it says, double you. We’re a place that values, rewards and recognises individuality. Where you can be your whole self, your true self, and your best self. We’re recognised as a place where talent is developed, where passions are fuelled and where ambitions of all shapes and sizes thrive. And it all starts with you!
Tono mai ināianei! | Apply Now!
Apply today with your CV and Cover Letter.
The people of Aotearoa, New Zealand hail from many cultures and backgrounds. At Westpac New Zealand, we draw on this enormous talent pool to cultivate a team rich in ability and empowered to reach its full potential. Our aim is to be brave challengers, celebrating our differences and relentlessly advocating for our customers. It starts with us – we believe that when we care deeply and do our best for our people, they’ll do their best for our customers. We encourage people from all walks of life to apply, including those who are neurodiverse, have chronic health conditions or disabilities – your attitude and passion are as important to us as your experience, qualifications and capabilities.
Mahi tahi tātou, kaha ake tātou | Together Greater
Applications close:
23 November 202

• Deploying and operating infrastructure components on AWS to support machine learning workflows and production models
• Ensuring platform security, scalability, and availability for ML applications
• Assisting with system monitoring, performance tuning, and troubleshooting within the AWS environment
• Developing and maintaining automation scripts and processes for efficient operations
• Supporting DevOps practices, including CI/CD pipelines and containerisation for ML model