Cloud DevOps Engineer (AWS)

Broadridge; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading financial services firm in the UK is seeking an AWS Cloud DevOps Engineer to join their AI Enablement Team. In this hybrid role, you will design and support solutions that enhance AI capabilities, particularly focused on machine learning. The ideal candidate has extensive experience in cloud application development, particularly with AWS, and is passionate about innovation in AI and ML.

Qualifications

• 5-8 years in cloud application development/administration with strong AWS experience.
• Experience in building end-to-end systems as a Platform Engineer.
• Knowledge in automation and infrastructure as code.

Responsibilities

• Design ML deploy monitoring pipelines and engineering infrastructure.
• Develop scalable tools and services for machine learning training.
• Communicate with clients to build requirements and track progress.

Skills

Cloud application development

AWS and Terraform

CI/CD tools

Automation (Jenkins, GitLab, Docker)

Cloud ecosystem knowledge

Python programming

Excellent communication skills

Education

Associate Certification in AWS or Cloud-related certification

Tools

Jenkins

Docker

Kubernetes

AWS Sagemaker

Job description

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 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
• 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.