Senior AI/ML Cloud Engineer

Vanguard•Malvern, PA

About The Position

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. About Us Vanguard, one of the world's largest investment management companies, serves individual investors, institutions, employer-sponsored retirement plans, and financial professionals. We have a diverse and talented crew with a culture that promotes teamwork, along with an unwavering focus on serving our clients' best interests. This website uses "cookies" to distinguish you from other users. A cookie is a small file of letters and numbers placed on your computer or device. This helps us to provide you with a good experience when you browse our website and also allows us to improve our site and services. The cookies are stored locally on your computer or mobile device. To accept cookies you can continue browsing as normal. Or you can go to our Privacy Policy to read more information and learn how to change your preferences.

Requirements

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
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.

Nice To Haves

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

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.
Contribute to the development of our AI platform, ensuring scalability, reliability, and efficiency.
Support full stack applications to help manage our AI platform.
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
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.
Provide support for users of our platforms to troubleshoot issues, provide cross functional team collaboration, work on enhancements, and answer queries.
Communicate with your scrum team, vendors, and clients so they understand the project's technical implications, dependencies, and potential conflicts.
Monitor platform performance and implement optimization strategies.