Description :

- The DevOps Engineer will be responsible for designing, building, and maintaining scalable, cloud-native production infrastructure.

- The role requires strong hands-on experience with Kubernetes, Docker, Terraform, and AWS services such as Lambda, EC2, S3, and Fargate.

- The ideal candidate will have experience implementing CI/CD pipelines, monitoring systems (Grafana, Dynatrace), and exposure to Generative AI services on AWS, Azure, or GCP.

- This position emphasizes collaboration with development teams to optimize performance, scalability, and deployment workflows in a modern cloud environment.

Primary Skills :

- Core DevOps Tools : Kubernetes, Docker, Terraform, CloudFormation.

- Cloud Platforms : AWS (Lambda, EC2, Fargate, S3, DynamoDB), Azure, GCP.

- Monitoring Tools : Grafana, Dynatrace.

- CI/CD & Infrastructure : Infrastructure as Code (IaC), Continuous Integration/Deployment.

- Scripting & Automation : Bash, Python (nice to have).

- Other Skills : Performance optimization, cloud scalability, generative AI familiarity.

Responsibilities :

- Build, deploy, and manage scalable cloud-native applications using Kubernetes and Docker.

- Automate infrastructure provisioning using Terraform and CloudFormation.

- Implement CI/CD pipelines to streamline deployment processes.

- Manage and monitor system health using Grafana, Dynatrace, and other observability tools.

- Collaborate with development teams to enhance deployment workflows and system reliability.

- Ensure optimal performance and high availability of infrastructure.

- Stay updated with emerging Generative AI tools across AWS, Azure, and GCP.

- Participate in production deployments and optimize enterprise-scale systems.