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.
Robust analytical and problem-solving abilities with a passion for automation.
Valuable 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 (India)
🏢 Sunovaa Tech
📍 India