Senior AI/ML Cloud Engineer

Responsibilities

• Designs, implements, and deploys cloud platforms to support and meet business needs. Identifies, recommends, and implements opportunities for improvement and performance issue solutions.
• Troubleshoots software systems on multiple cloud computing platforms and system integration into existing cloud computing platforms.
• Maintains comprehensive technical knowledge of software and infrastructure platforms.
• Elevates code into the development, test, and cloud production environments on schedule.
• Provides follow up production support. Submits change control requests and documents.
• Trains and mentors more junior staff on processes and releases.
• Troubleshoots and resolves complex issues. Provides guidance and consultation as required.
• Participates in special projects and performs other duties as assigned.
• Maintains the security of cloud infrastructure, ensuring compliance with both internal governance standards and relevant regulatory requirements.
• Develops and implements automation scripts and tools to streamline deployment, configuration, and scaling of cloud-based resources.
• Establishes and manages disaster recovery and business continuity protocols, ensuring robust backup strategies and minimizing data loss risks.
  
  Qualifications and Skills

• Minimum 5 years of experience in cloud engineering, infrastructure management, or cloud operations.
• Bachelor’s degree (B.E./B.Tech in Computer Science/IT) or equivalent experience.
• Hands-on expertise with GitHub, AWS Services, Cloud Platform Development, Cloud Based Application Development
• Experienced Senior Engineer, being able to work independently, passionate about solving points of pain for developer community, scrum/agile methodologies
• Strong troubleshooting skills in cloud infrastructure, networking, security best practices, and performance optimization

Core Responsibilities

• Platform Development: Contribute to the development of our AI platform, ensuring scalability, reliability, and efficiency. Support full stack applications to help manage our AI platform.
• Feature Enablement: From prototype to production—presenting proofs of concept, demoing solutions to stakeholders, and partnering with project managers, technical managers, architects, security, infrastructure, and application teams
• Learning and Development: Stay up-to-date with industry trends and advancements in generative AI and Agentic technologies. Document processes, issues, and solutions for knowledge sharing and future references.
• Technical Support: Provide support for users of our platforms to troubleshoot issues, provide cross functional team collaboration, work on enhancements, and answer queries.
• Communication: Communicate with your scrum team, vendors, and clients so they understand the project's technical implications, dependencies, and potential conflicts.
• Observability: Monitor platform performance and implement optimization strategies.

Required Qualifications

• Minimum of five years related work experience.
• Undergraduate degree in a related field or the equivalent combination of training and experience.
• Strong experience with provisioning on Azure/AWS cloud services with Terraform
• Strong experience with AWS CloudFormation, Lambda, Step functions, IAM, DynamoDB, and S3.
• Strong experience and understanding of Python.
• Familiarity with other cloud platforms like GCP and Azure.

Preferred Qualifications

• Knowledge around AI Concepts such as: RAG, knowledge base, and agents
• Experience provisioning Gen AI cloud services on AWS/Azure/GCP

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.