Cloud DevOps Engineer (AWS)

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you’re passionate about developing your career, while helping others along the way, come join the Broadridge team.

We are excited to announce an opportunity for AWS Cloud DevOps Engineer to join our organization as part of our AI Enablement Team. In this role, you will play a crucial role in deploying & supporting the solutions that enhance our AI capabilities across the organization, with a specific focus on GenAI projects.

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

Responsibilities:

• 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.

Qualifications & Skills:

• 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.

• Exposure to infrastructure as code tools such as Terraform, CloudFormation, or similar is desirable.

• Familiarity with CI/CD concepts and tools such as Jenkins, GitLab, or similar.

• Understanding of cloud deployment, monitoring, and support processes.

• Basic knowledge of Python, Shell scripting, or similar languages is an advantage.

• Basic knowledge of Docker, Kubernetes, scripting, or automation tools would be an advantage.

• Understanding of AI, ML & Generative AI domain will be an added advantage as the team is focused on creating AIML capabilities for the organization.

• Ability to analyze escalations, prioritize, identify owners, track and facilitate blockers

• Excellent communication and interpersonal skills (verbal and written), ability to work effectively with a remote and multicultural team, always following a collaborative and supportive approach.

• Strong Analytical and organizational skills - ability to understand the design documents and communicate implementations

Hybrid Flexible at Broadridge  

We are made up of high-performing teams that meet in person to learn and collaborate as needed. This role is considered hybrid. 

#LI-Hybrid 

#LI-LM1 

We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company—and ultimately a community—that recognizes and celebrates everyone’s unique perspective. 

Use of AI in Hiring 

As part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration.