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.
