Cloud DevOps Engineer (AWS)

Hybrid flexible at Broadridge; teams meet in person to learn and collaborate as needed.

At Broadridge, the highest goal is to empower others to accomplish more. The company is looking for an AWS Cloud DevOps Engineer to join the AI Enablement Team.

In this role, you will help deploy and support solutions that enhance Broadridge’s AI capabilities across the organization, with a specific focus on GenAI projects.

This role is aimed at someone early in their career who wants to grow experience in AWS, DevOps, cloud infrastructure, and AI platforms. You will work with experienced engineers and cross-functional teams to help deliver scalable, secure, and reliable solutions.

The role is considered hybrid. Broadridge teams meet in person to learn and collaborate as needed.

• Support the deployment and maintenance of cloud infrastructure for AI and machine learning solutions.
• Assist in building and maintaining CI/CD pipelines, automation workflows, and infrastructure as code.
• Help monitor cloud environments and support troubleshooting, issue resolution, and performance improvements.
• Work with data scientists and engineers to help deploy machine learning models into production environments.
• Support the setup and maintenance of tools and services for model training and inference.
• Contribute to platform reliability, monitoring, version control, and security best practices.
• Assist in proof-of-concept developments and help prepare solutions for production use.
• Document technical processes, configurations, and support activities clearly.
• Collaborate with internal teams to understand requirements and provide updates on tasks and progress.

• Around 2-4 years of experience in cloud engineering, DevOps, infrastructure support, or a related technical role.
• Basic hands-on experience with AWS cloud services.
• Familiarity with CI/CD concepts and tools such as Jenkins, GitLab, or similar.
• Understanding of cloud deployment, monitoring, and support processes.
• Ability to analyze escalations, prioritize, identify owners, track and facilitate blockers.
• Excellent verbal and written communication and interpersonal skills.
• Ability to work effectively with a remote and multicultural team using a collaborative and supportive approach.
• Strong analytical and organizational skills.
• Ability to understand design documents and communicate implementations.

• Exposure to infrastructure as code tools such as Terraform, CloudFormation, or similar.
• Basic knowledge of Python, Shell scripting, or similar languages.
• Basic knowledge of Docker, Kubernetes, scripting, or automation tools.
• Understanding of AI, ML, and Generative AI domains.

• Hybrid flexible working model.
• Collaborative, engaging, and inclusive workplace environment.
• Workplace focused on flexibility and accountability.
• Professional development opportunities, including formal classes, training programs, and events.
• Development programs redesigned for 100% virtual delivery in the hybrid working model.
• Access to 8,500+ online courses through LinkedIn Learning, covering business, leadership, technical, and function-specific topics.