Job Description

Key Responsibilities:

• Lead, mentor, and develop a team of 6–10 engineers, driving delivery and technical excellence across model development and operations.
• Define and execute the technical strategy for scalable model engineering solutions supporting research and investment insights.
• Oversee end-to-end software development lifecycle (SDLC), ensuring high-quality, reliable, and maintainable systems.
• Design and implement cloud-native architectures leveraging AWS serverless and microservices components.
• Partner with cross-functional teams to integrate data engineering and machine learning solutions into production environments.

Qualifications:

• Minimum of eight years related work experience, with at least three years of development experience.
• Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
• Strong background in data engineering and machine learning, with hands-on development experience.
• Experience in software lifecycle development and modern engineering best practices.
• Deep understanding of serverless architecture and microservices frameworks.
• Proficiency working with Python and data processing tools such as Pandas.
• Experience with AWS services including Lambda, Step Functions, S3, and EventBridge.
• Familiarity with advanced mathematical concepts, including vectors and multi-dimensional calculations.
• Demonstrated leadership experience managing and guiding technical teams.

Preferred Qualifications:

• AWS Certification.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.