Description

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

This role is remote.

Responsibilities

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

Required Skills

• 7+ years hands-on AWS experience (EC2, RDS, S3, CloudWatch, CloudTrail, IAM, KMS, Lambda).
• 7+ years Linux/Unix administration and automation scripting (Bash, Shell, Python).
• 7+ years with IaC tools: CloudFormation, Terraform, and Ansible.
• 7+ years AWS networking knowledge (VPC, subnets, NACLs, security groups, Route 53, multi-AZ).
• 5+ years CI/CD pipeline experience (Jenkins) for deploying AI/ML models via Kubernetes, ECS, or EKS.
• 4+ years architecting scalable data processing workflows with 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 (TensorFlow, PyTorch).

Preferred Skills

• Bachelor's degree or combination of education and experience.
• Experience with AWS Backup and security best practices.

Key Skills

Education

Bachelor's degree