AWS Cloud DevOps Engineer

Responsibilities:

• Design the ML deploy, monitoring pipelines and engineering infrastructure to support enterprise machine learning systems at scale

• Take offline models data scientists build and turn them into a real machine learning production system

• Develop and deploy scalable tools and services to handle machine learning training and inference

• Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients’ machine learning systems

• Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.

• Support model development, with an emphasis on auditability, versioning, and data security

• Facilitate the development and deployment of proof-of-concept machine learning systems

• Communicate with clients to build requirements and track progress

Qualifications & Skills:

• Over all 5-8 years in cloud application development/Administration with at least 4 years of experience in AWS & Terraform, Jenkins, Cloudformation or any other IAAC .

• Proven Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer on AWS Sagemaker and similar tools

• Knowledge and experience with CI/CD tools. Strong hands-on technical skills in automation (Jenkins, GitLab, Docker, Kubernetes, Shell Scripting etc).

• Strong hands-on technical skills in automation, infrastructure as code, logging, monitoring and observability, infrastructure configuration, scripting languages and applications.

• Experience working in Cloud ecosystem- building and deploying workloads on cloud, preferably AWS.

• Associate Certification (preferable) in AWS Development and/or Architect or any cloud related certification (Terraform/chef).

• 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

• Good understanding and Knowledge of chef / Python / Go and Cloud Networking, Essential Security principles and Processes

• 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.