Description

• 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.
• Strong 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 deployments.
• Exposure to Infrastructure as Code (Terraform/CloudFormation).
• AWS certifications are a plus.
• Excellent communication and stakeholder management skills

Key Skills

Education

Bachelor's degree