DevOps Engineer

Key Highlights

• AWS Cloud Infrastructure: Architect, deploy, and manage secure, scalable cloud infrastructure using AWS services such as EC2, Lambda, S3, DynamoDB, CloudFormation, CDK, EKS, and ECS.
• Infrastructure as Code: Develop and maintain IaC templates and scripts using AWS CloudFormation, AWS CDK, Terraform, or similar tools to automate provisioning and configuration, ensuring reproducibility and consistency across environments.
• CI/CD Pipeline Development: Design, implement, and optimize automated CI/CD pipelines using GitLab CI/CD to enable continuous integration, testing, and deployment of both software and AI/ML models.
• AI Platforms and MLOps: Collaborate with data scientists and ML engineers to deploy, monitor, and maintain machine learning models in production. Build and automate end-to-end ML pipelines, including model training, evaluation, versioning, and deployment using tools such as AWS SageMaker.
• Monitoring and Observability: Implement comprehensive monitoring, logging, and alerting solutions using AWS CloudWatch and New Relic to ensure system health, performance, and security. Proactively detect and resolve issues impacting AI workloads and infrastructure.