Job Description :

- SRE, AWS, Kubernetes, Expertise in Ansible and Terraform.

- Candidates should have 7- 8 + years of experience in AWS DevOps in CI/CD, SRE, Monitor infrastructure, and suggested cloud platform i.e AWS and tools like Gitlab, Jenkins, Terraform, Docker/Kubernetes, Python/shell scripting.

- Experience with Istio and Python, Service Mesh would be a significant advantage

- Coding infrastructure automation across the pipeline.

- As the solution scales, ensure reliability through designing, building, and maintaining the core infrastructure.

- Support and maintain existing lab infrastructure leveraging defined ticketing and resource scheduling processes.

- Participates in evaluation of new and existing server infrastructure capabilities and features, to ensure requirements are met for both existing applications and new product services.

- Jenkins and spinning up EC2 instances.

- Client environment includes a complex tool stack, starting from Helm and Kubernetes (both Kops and EKS) to shared pipelines

- Candidates whose recent roles involve working extensively with technologies like Helm, GitLab, and Kubernetes, with AWS as their primary cloud platform.

- Experience with Istio and Python would be a significant advantage.

Experience : Candidates should have 7- 8 + years of experience in AWS DevOps.

AWS Expertise : Proficient in core AWS services (EC2, S3, RDS, VPC, Route 53, CloudFront, and IAM), Pipeline automation like Gitlab CICD, Helm charts.

DevOps Practices : Strong understanding of DevOps principles and CI/CD pipelines.

Automation : Experience with automation frameworks and scripting languages (Python, Terraform, etc.

Tools : Familiarity with tools like Gitlab, Jenkins, Ansible, Docker, Kubernetes, etc, Istio, Service Mesh.

Experience : 7- 8 + years of experience in AWS DevOps