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

26 Seconds Ago
Easy Apply
Remote or Hybrid
Easy Apply
162K-222K Annually
Expert/Leader
162K-222K Annually
Expert/Leader
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead large, ambiguous product design initiatives across multiple product areas from discovery through launch and iteration. Define interaction patterns and visual systems, engage strategic customers, partner with Product and Engineering leaders, use AI tools in design workflows, ship code across design systems, web products, and mobile apps, and mentor other designers.
Top Skills: Ai ToolsCursorDesign SystemsFigma MakeIotMobile ApplicationsUx/Ui DesignWeb Applications
An Hour Ago
In-Office or Remote
2 Locations
Entry level
Entry level
Aerospace • Hardware • Robotics • Software
Build and operate a distributed telemetry data platform for ingest, processing, indexing, compression, storage, and query. Design APIs, horizontal scaling, fault tolerance, multi-environment deployments, customer data isolation, and high-performance systems supporting petabytes of data and millions of series. Engineers own projects from design through release and operations while solving complex distributed-systems challenges on a small founding team.
Top Skills: Rust
3 Hours Ago
Remote
Expert/Leader
Expert/Leader
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Leads Dropbox’s global Revenue and Marketing Operations strategy across SMB, Mid-Market, and Enterprise segments. Owns revenue planning, forecasting, segmentation, territories, quotas, incentives, GTM systems, analytics, productivity, and operating cadence. Partners with executive leadership across Sales, Marketing, Finance, Product, Customer Success, and Support to drive scalable growth, AI adoption, systems transformation, and revenue predictability. Builds and develops a high-performing global Revenue Operations organization.
Top Skills: Artificial IntelligenceGtm Technology PlatformsSaaSSalesforce

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account