AWS Cloud DevOps Engineer

Broadridge Financial Solutions, Inc.; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Broadridge Financial Solutions, Inc. is seeking an AWS Cloud DevOps Engineer to support GenAI platform capabilities. The role focuses on architecting, deploying and operating ML production pipelines with emphasis on scalability, security and automation. Hybrid work with collaboration across a multicultural team.

The ideal candidate has extensive AWS, Terraform and CI/CD experience, plus strong scripting skills and a proactive, problem-solving mindset.

Qualifications

• 5–8 years in cloud application development/Administration
• at least 4 years of AWS & Terraform, Jenkins, CloudFormation or any other IaC
• experience in building end-to-end systems as Platform/ML DevOps on AWS Sagemaker or similar tools
• strong hands-on skills in automation, IaC, logging, monitoring and observability

Responsibilities

• Design the ML deploy, monitoring pipelines and engineering infrastructure to support enterprise ML systems at scale
• Turn offline models data scientists build into production ML systems
• Develop and deploy scalable tools and services for training and inference
• Evaluate new technologies to improve performance, maintainability and reliability
• Apply software engineering practices to ML, including CI/CD, automation
• Support model development with auditability, versioning and data security
• Facilitate development and deployment of proof-of-concept ML systems

Skills

AWS

Terraform

Jenkins

CloudFormation

Docker

Kubernetes

GitLab

Shell scripting

CI/CD

Python

Go

Cloud networking

Security principles

Education

AWS Certification (Developer/Architect)

Tools

AWS Sagemaker

Terraform

Job description

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 architecting, deploying & supporting the solutions that enhance our AI capabilities across the organization, with a specific focus on GenAI projects. You will be at the driving innovation and delivering cutting-edge solutions. Your expertise will contribute to the development of our platform, shaping its capabilities and providing impactful solutions. Join our dynamic team and be part of a collaborative environment that fosters continuous learning and creativity. If you are passionate about machine learning, AI, and want to contribute to the platform capability development for our whole organization, we invite you to apply. 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
  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., 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.