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About the Role

We are seeking an AWS Cloud DevOps Engineer to join our AI Enablement Team. This role is crucial for architecting, deploying, and supporting solutions that enhance AI capabilities, with a focus on GenAI projects. You will drive innovation and deliver cutting-edge solutions, contributing to platform development and shaping its capabilities.

Responsibilities

Design ML deploy and monitoring pipelines and engineering infrastructure for enterprise machine learning systems at scale.
Transform offline models built by data scientists into production machine learning systems.
Develop and deploy scalable tools and services for machine learning training and inference.
Identify and evaluate new technologies to enhance performance, maintainability, and reliability of machine learning systems.
Apply software engineering best practices, including CI/CD and automation, to machine learning.
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 gather requirements and track progress.

Requirements

5-8 years in cloud application development/administration.
At least 4 years of experience with AWS & Terraform, Jenkins, Cloudformation, or other IaC.
Proven experience building end-to-end systems as a Platform Engineer or 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, observability, infrastructure configuration, and scripting languages.
Experience building and deploying workloads on cloud platforms, preferably AWS.
Ability to analyze escalations, prioritize, identify owners, track, and facilitate blockers.
Good understanding and knowledge of Chef / Python / Go and Cloud Networking.
Understanding of essential security principles and processes.
Excellent communication and interpersonal skills (verbal and written).
Ability to work effectively with a remote and multicultural team.
Strong analytical and organizational skills.
Ability to understand design documents and communicate implementations.

Skills

AWS
Terraform
Jenkins
Cloudformation
IaC
Platform Engineering
ML DevOps
AWS Sagemaker
CI/CD
Automation
GitLab
Docker
Kubernetes
Shell Scripting
Infrastructure as Code
Logging
Monitoring
Observability
Infrastructure Configuration
Scripting Languages
Chef
Python
Go
Cloud Networking
Security Principles

Location

Hybrid Flexible

Work Type

Hybrid

Experience Level

5-8 years overall
4 years AWS & Terraform, Jenkins, Cloudformation or any other IAAC

Education Level

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

About the Company

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more.
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.

Equal Opportunity

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.