{"@context":"https://schema.org","@graph":[{"@context":"https://schema.org/","@type":"JobPosting","@id":"#jobPosting","title":"Cloud DevOps Engineer

Broadridge

4 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Intermediate

Artificial Intelligence

Amazon Web Services (AWS)

Software as a Service

Cloud Computing

Continuous Integration

Data Security

DevOps

Python

Machine Learning

Shell Script

Software Engineering

Management of Software Versions

Data Logging

Scripting (Bash/Python/Go/Ruby)

Generative AI

Gitlab

Cloudformation

Kubernetes

Infrastructure Automation Frameworks

Terraform

Docker

Jenkins

Design machine learning deployment, monitoring pipelines and engineering infrastructure to support enterprise ML systems at scale.
Take offline models built by data scientists and turn them into production machine learning systems.
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 client ML 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.

5-8 years in cloud application development / administration with at least 4 years in AWS, Terraform, Jenkins, CloudFormation or similar IaC.
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, 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 AWS.
Associate certification (preferable) in AWS Development and / or Architect or any cloud related certification (Terraform / Chef).
Understanding of AI, ML & Generative AI domain an added advantage.
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, following a collaborative and supportive approach.
Strong analytical and organizational skills. Hybrid work model. Broadridge is committed to fostering a collaborative, inclusive and healthy environment that promotes flexibility and accountability.