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.