Posted on: 17/12/2025
Description :
We are Hiring : AWS_DevOps
Job Title : AWS_DevOps
Location : PAN India - (Hybrid)
Total Yrs. of Experience : 7+ Years
Duration : Contract to Hire (C2H)
Notice Period : Immediate Joiners to 30 Days
- SRE ,AWS ,Kubernetes, Expertise in Ansible and Terraform.
- Candidates should have 7 + 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.
Skill Requirements :
- 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.
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Posted in
DevOps / SRE
Functional Area
DevOps / Cloud
Job Code
1591843
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