Broadridge Logo

Broadridge

AWS Cloud DevOps Engineer

Posted 5 Days Ago
Remote or Hybrid
Hiring Remotely in St-Arthur, NB
Senior level
Remote or Hybrid
Hiring Remotely in St-Arthur, NB
Senior level
Designs, deploys, and supports scalable machine learning infrastructure and production systems on AWS. Builds ML deployment, monitoring, training, and inference pipelines; converts data science models into reliable production systems; applies CI/CD, automation, infrastructure as code, security, auditability, and versioning practices. Evaluates technologies, supports proof-of-concept solutions, resolves escalations, and communicates with clients and distributed teams.
The summary above was generated by AI

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.

Similar Jobs

Yesterday
Remote
173K-226K Annually
Expert/Leader
173K-226K Annually
Expert/Leader
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Principal Full Stack Software Engineer responsible for guiding technical direction, designing large-scale SaaS features, and building secure, reliable distributed systems. The role involves collaborating across product, design, and engineering; evaluating technical trade-offs; debugging team inefficiencies; contributing to code reviews and complex fixes; mentoring engineers; and improving engineering practices around testing, performance, security, privacy, and service operations.
Top Skills: AWSDistributed SystemsJavaKotlinMicroservicesSaaS
Yesterday
Remote
133K-173K Annually
Senior level
133K-173K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Leads enterprise sales for Jira Service Management across Canadian named accounts and territories. Develops territory strategies, drives ITSM and service transformation adoption, manages executive relationships, partners with channel organizations and internal teams, communicates business value and ROI, and supports strategic customer engagements. Requires strong ITSM expertise, enterprise software field sales experience, cross-functional collaboration, and a record of exceeding sales targets.
Top Skills: Google WorkspaceJira Service ManagementSalesforceSlackZoom
2 Days Ago
Easy Apply
Remote or Hybrid
Easy Apply
99K-128K Annually
Mid level
99K-128K Annually
Mid level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Manage enterprise customers after implementation, helping them achieve business value from Samsara’s IoT platform. Develop joint success plans, lead executive business reviews and customer workshops, recommend workflow improvements, explain platform capabilities, resolve barriers, and mentor Customer Success and Support teams. Collaborate with Sales, Support, Sales Engineering, Product, and Engineering while supporting customers across transportation, utilities, field services, and other physical-operation industries.
Top Skills: Internet Of Things (Iot)SaaS

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account