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Full Stack Engineer AI Automation & Cloud Engineering

Job Description - Full Stack Engineer AI Automation & Cloud Engineering


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.

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