Cloud Platform Engineer

Required Skills

• Minimum 7 years of hands-on AWS experience: EC2, RDS, S3, CloudWatch, CloudTrail, IAM, KMS, AWS Backup, and Lambda.
• Minimum 7 years of experience in Linux/Unix administration and automation scripting (Bash, Shell, Python).
• Minimum 7 years of experience with Infrastructure as Code (IaC) and automation tools, including CloudFormation, Terraform, and Ansible, for provisioning and maintaining.
• Minimum 7 years of knowledge in AWS networking: VPC, subnets, NACLs, security groups, Route 53, and multi-AZ architectures.
• Minimum 5 years of experience CI/CD pipelines, Jenkins, and IaC for deploying AI agents and ML models into production, monitoring autonomous workflows, and supporting MLOps using Kubernetes, ECS, or EKS.
• Minimum 4 years of experience architecting, building, and maintaining scalable data processing workflows using AWS managed services and Python (including PySpark); strong understanding of data architecture and ETL/ELT patterns.
• Minimum 4 years of experience working with AWS AI/ML services such as SageMaker, Bedrock, and vector databases (OpenSearch).
• Strong understanding of machine learning algorithms, NLP concepts, and deep learning frameworks such as TensorFlow, PyTorch, or Hugging Face.