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AWS Devops-Nvidia

Diverse Lynx India
🇮🇳 India
On-site
2 months ago
  • Devops
  • AWS
  • Apache Airflow
  • EMR
  • Kubernetes
  • CI/CD
  • Terraform
  • CloudFormation
  • Airflow
  • EC2
  • IAM
  • CloudWatch
  • VPC
  • EKS
  • Secrets Management
  • Incident Response
2 months ago
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  1. Design, deploy, and maintain scalable DevOps infrastructure onAWS, supporting data engineering and analytics workloads across production environments.
  2. Manage and optimize ApacheAirflow workflows for orchestration, scheduling, monitoring, and failure recovery of batch data pipelines.
  3. Support AmazonEMR clusters for large-scale distributed data processing, including cluster provisioning, configuration, job monitoring, and cost optimization.
  4. Deploy and operatecontainerized applications on Kubernetes, managing workloads, services, configurations, secrets, and autoscaling.
  5. Build and maintain CI/CD pipelines to automate application deployment, infrastructure changes, and data platform releases.
  6. Implemented infrastructure automation using tools such as Terraform, CloudFormation, or AWS CLI to improve consistency and reduce manual operations
  7. Monitor system health, pipeline performance, cluster utilization, and application logs using AWS-native and third-party observability tools.
  8. Troubleshoot production issues acrossAirflow DAGs, EMR jobs, Kubernetes pods, and AWS services to ensure platform reliability.
  9. Improved reliability and uptime by implementing alerting, retry strategies, failure notifications, and operational runbooks.
  10. Collaborate with data engineers, application teams, and cloud infrastructure teams to support secure and scalable data platform operations.
  11. Manage AWS resources includingEC2, S3, IAM, CloudWatch, VPC, EMR, EKS, and related networking/security components.
  12. Implement access controls,IAM roles, secrets management, and security best practices across cloud and Kubernetes environments.
  13. Optimize cloud costs by tuning EMR cluster sizing, Kubernetes resource requests/limits, autoscaling policies, and AWS resource usage.
  14. Support environment deployments across development, staging, and production with standardized release and rollback procedures.
  15. Maintain documentation for deployment processes, incident response, infrastructure architecture, and operational procedures.

AWS Devops-Nvidia · Diverse Lynx India

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