Description

You will design and develop cloud-based ML learning platforms, defining the DevOps strategy for microservice and connector infrastructure in AWS.

Responsibilities

• Design and implement enterprise-level systems and data services within agile projects.
• Plan and execute lift-and-shift migrations for existing infrastructure.
• Build and maintain the DevOps strategy for hosting and managing microservices in AWS.
• Apply enterprise software design patterns to implement middleware and data services.

Required Skills

• 5+ years of experience in engineering roles.
• Proficiency with AWS services including EMR, S3, EFS, MSK, and ECS.
• Hands-on experience with Kubernetes and EKS.
• Practical knowledge of GitOps workflows.
• Strong coding skills in Java and Python.
• Experience with distributed computing platforms in large-scale enterprise environments.
• Bachelor’s degree in a technical discipline.

Preferred Skills

• Master's degree in a technical discipline.
• Experience with machine learning.

Key Skills

Education

Any Graduate