Client is one of the world’s leading skilled services firms and the fastest growing Big Four accounting firm
About The Job:
We are seeking an experienced DevOps / MLOps Engineer to support cloud infrastructure modernization, CI/CD transformation, containerization initiatives, and MLOps deployment pipelines.
The ideal candidate will have robust hands-on experience with AWS services, Kubernetes, Docker, GitLab CI/CD, and machine learning deployment workflows.
Essential Job Functions:
Design, implement, and maintain scalable cloud infrastructure on AWS.
Build and manage CI/CD pipelines using GitLab CI/CD and related DevOps tools.
Support migration from existing source code repositories and CI/CD platforms to GitLab.
Containerize applications using Docker and orchestrate deployments through Kubernetes.
Implement and manage MLOps workflows for model deployment, monitoring, and lifecycle management.
Work with AWS SageMaker for model training and deployment pipelines.
Support AWS IoT Core and AWS Greengrass-based edge deployments.
Automate infrastructure provisioning and operational tasks.
Collaborate with development, data science, and platform teams to streamline release processes.
Ensure reliability, security, and performance of deployment environments.
Qualifications:
5–8 years of experience in DevOps, Cloud Engineering, or MLOps.
Solid hands-on expertise in:
AWS Cloud Services
AWS SageMaker
Docker
Kubernetes
GitLab CI/CD
CodeCommit migration
Infrastructure Automation
Experience building and managing deployment pipelines.
Understanding of MLOps practices and model deployment strategies.
Experience with AWS IoT Core and AWS Greengrass is highly preferred.
Knowledge of release management, monitoring, and production support processes.
Strong troubleshooting and problem-solving skills.
Preferred Qualifications
Experience supporting edge computing d