Full Stack Engineer - AI Automation & Cloud Engineering

The Personalization & Data Collection (PDC) team is seeking a motivated Full Stack Engineer with 2-3 years of experience in cloud engineering, automation, and modern software development. This role will focus on building scalable automation solutions, AI-assisted engineering workflows, and cloud-native services using AWS, GitHub, and emerging AI technologies. The ideal candidate is passionate about solving problems through automation, improving developer productivity, and learning new technologies.

Responsibilities

• Develop and maintain cloud-based solutions and automation frameworks using AWS services.
• Provides intermediate level system analysis, design, development, and implementation of applications and databases. Integrates third party products.
• Design and support CI/CD pipelines using GitHub Enterprise and GitHub Actions.
• Build APIs, microservices, and developer productivity tools.
• Leverage AI tools such as GitHub Copilot, Claude Code, Amazon Bedrock, and similar platforms to accelerate software delivery.
• Participates in design, code, and test inspections throughout the life cycle to identify issues. Participates in systems analysis activities.
• Elevates code into the development, test, and production environments on schedule.
• Create automation solutions that reduce manual operational effort and improve team efficiency.
• Collaborate with product, business, and engineering teams to identify and implement automation opportunities.
• Participate in code reviews, testing, troubleshooting, and production support activities.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
• Minimum of three years related work experience, with 2+ years of development experience.
• Hands-on experience with AWS Cloud Services, GitHub, Python and/or Java, JavaScript/TypeScript, REST APIs, databases, and microservices.
• Understanding of CI/CD, DevOps, and Infrastructure as Code concepts.
• Experience with source control, branching strategies, and code review processes.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with AWS Lambda, S3, API Gateway, CloudWatch, DynamoDB, Step Functions, or Secrets Manager.
• Exposure to Generative AI and Agentic AI technologies.
• Experience with GitHub Copilot, Claude Code, Amazon Bedrock, Amazon Q, or similar AI platforms.
• Knowledge of Docker, automation bots, developer platforms, or internal tooling.
• AWS Certification (Cloud Practitioner or Associate) is a plus.

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.