Call Quest Solution is seeking a DevOps Engineer with strong hands-on experience in AWS AI services. The role involves designing and managing AI/ML infrastructure, building CI/CD pipelines, and implementing Infrastructure as Code while collaborating with engineering teams to enhance development workflows.
Responsibilities:
- Design and manage AI/ML infrastructure using Amazon Bedrock, AWS Lex, and Amazon Connect
- Build and maintain CI/CD pipelines for automated build, testing, and deployment
- Implement Infrastructure as Code using Terraform to provision AWS environments
- Collaborate with engineering teams to integrate DevOps best practices into development workflows
- Contribute to development tasks using React, Python, and Java when required
- Implement IAM policies, network security controls, and cloud security best practices
- Set up logging, monitoring, and observability frameworks for system performance and reliability
- Scale AI/ML applications in production environments , ensuring high availability and performance
- Drive automation and continuous improvement across DevOps and cloud infrastructure
Requirements:
- Hands-on experience with Amazon Bedrock, AWS Lex, and Amazon Connect
- Strong background in DevOps practices, CI/CD pipelines, and Infrastructure as Code (Terraform)
- Experience deploying and scaling AI/ML workloads in AWS production environments
- Development experience with Python, Java, and React
- Strong knowledge of AWS cloud architecture and security best practices
- Experience implementing logging, monitoring, and observability solutions