Gnanendra Reddy
DevOps Engineer at Tata Consultancy Services
Greater Bengaluru Area
3+ years of work experience
Jan 20267 mosPresent
Bengaluru, Karnataka, India
● Reduced AWS networking costs by 29% by consolidating 3 per-AZ NAT Gateways into a single regional architecture, maintaining availability across 3 AZs.
● Built and deployed scalable cloud infrastructure on AWS using Terraform, focusing on reusable modules.
● Cut non-production compute costs by ~50% by automating start/stop schedules using EventBridge and Lambda, eliminating idle resource usage outside business hours.
● Built and maintained reusable Terraform modules to provision AWS infrastructure, improving deployment consistency and reducing manual configuration effort across environments.
● Designed and implemented a CI/CD pipeline for containerized applications, automating Docker image builds, version tagging, and deployment to Kubernetes via Amazon ECR, improving release reliability.
● Improved system observability by centralizing logs and configuring real-time alerts using CloudWatch and Grafana, reducing Mean Time to Detection (MTTD) and enabling faster incident response.
● Reduced logging costs by ~66% by optimizing retention policies (3 months → 1 month) and implementing archival storage for long-term access.
Jun 20233 yrs 2 mosPresent
● Wrote shell scripts with cron jobs to rotate and compress logs. Kept recent logs on the server and moved older ones to NFS, freeing up about 45% of disk space (~100GB).
● Built and maintained 15+ production-grade Bash automation scripts for deployment, log processing, and system monitoring across multi-server environments in the banking domain
● Maintained AWS infrastructure using Terraform, designing reusable modules; implemented S3-backed remote state with DynamoDB locking to prevent conflicts and enable safe team collaboration.
● Automated provisioning workflows by integrating Terraform with Ansible, and configured secure networking (VPCs, subnets, security groups) to ensure consistent and reliable deployments.
● Designed end-to-end automation for deployment and log analysis—including SSH/SCP-based remote orchestration, AWK-driven time-based log filtering, and distributed backup systems—enabling
● Strengthened cloud security posture by enforcing IAM Least Privilege roles and managing sensitive credentials via AWS Secrets Manager
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