Description

You will design, automate, and support secure, scalable AWS-based platforms for data processing, AI/ML workloads, and production MLOps.

Responsibilities

• Design, provision, and maintain secure, highly available AWS cloud infrastructure using EC2, RDS, S3, IAM, KMS, and multi-AZ architectures.
• Implement and manage Infrastructure as Code (IaC) using Terraform, CloudFormation, and Ansible to automate environment provisioning.
• Build and support CI/CD pipelines, such as Jenkins, to deploy cloud infrastructure, AI agents, and machine learning models.
• Deploy, monitor, and manage containerized workloads and MLOps platforms using Kubernetes or ECS/EKS.
• Architect and maintain scalable data processing and ETL/ELT workflows leveraging AWS managed services and Python.

Required Skills

• 7+ years of hands-on AWS experience (EC2, RDS, S3, CloudWatch, CloudTrail, IAM, KMS, AWS Backup, Lambda).
• 7+ years of experience in Linux/Unix administration and automation scripting (Bash, Shell, Python).
• 7+ years of experience with IaC tools, including CloudFormation, Terraform, and Ansible.
• 7+ years of knowledge in AWS networking (VPC, subnets, NACLs, security groups, Route 53, multi-AZ).
• 5+ years experience with CI/CD pipelines (Jenkins) for deploying AI agents and ML models using Kubernetes, ECS, or EKS.
• 4+ years architecting scalable data processing workflows using AWS managed services and Python (PySpark).
• 4+ years experience with AWS AI/ML services (SageMaker, Bedrock, OpenSearch).
• Strong understanding of ML algorithms and deep learning frameworks like TensorFlow or PyTorch.
• Bachelor's degree or combination of education and experience.

Key Skills

Education

Bachelor's degree