- Design, configure, deploy, and maintain cloud infrastructure primarily on AWS, with Azure as a secondary platform.
- Manage and support AWS services including EC2, EKS, RDS, S3, VPC, Load Balancers, and CloudWatch.
- Deploy and manage containerized applications using Docker and Kubernetes/EKS.
- Design, implement, and maintain CI/CD pipelines using Jenkins.
- Integrate SonarQube and Nexus into CI/CD workflows for code quality and artifact management.
- Implement monitoring, logging, alerting, and operational dashboards using CloudWatch and OpenSearch.
- Manage access, permissions, and security using AWS IAM, secrets management, and vulnerability scanning tools.
- Automate infrastructure and operational activities using Python, Bash, PowerShell, CloudFormation, or Terraform.
- Support and continuously improve DEV, UAT, and PROD environments.
- Troubleshoot application, infrastructure, deployment, and production issues and provide root-cause analysis.
- Support backup, disaster recovery, security, and cloud cost-monitoring activities.
- Collaborate with Development, QA, Security, and Operations teams to deliver reliable and secure solutions.
- Identify opportunities to automate manual processes and continuously improve DevOps practices.





- 35 years of hands-on experience in DevOps and Cloud Engineering.
- Strong practical experience with AWS as the primary cloud platform.
- Mandatory hands-on experience with Amazon EKS, Kubernetes, and Docker.
- Strong experience building and maintaining CI/CD pipelines using Jenkins.
- Hands-on experience with SonarQube and Nexus Repository.
- Good knowledge of AWS services including EC2, RDS, S3, VPC, and CloudWatch.
- Experience with OpenSearch or Elasticsearch for logging and monitoring.
- Positive understanding of AWS IAM, secrets management, container security, and vulnerability scanning.
- Proficiency in Bash and/or Python scripting; PowerShell is an advantage.
- Experience with CloudFormation or Terraform is preferred.
- Exposure to Azure and Azure DevOps is an advantage.
- Experience supporting production environments, incident management, troubleshooting, backup, and disaster recovery.
- Strong analytical and problem-solving abilities with a passion for automation.
- Good communication skills and ability to work effectively with cross-functional and international teams.
- Exposure to Agile/Scrum methodologies is an advantage.
- Experience with Databricks or other AI/ML platforms is a plus.

📌 Cloud Devops Engineer (Bengaluru)
🏢 Sunovaa Tech
📍 Bengaluru