Saran Paladugu
Summary
Results-driven IT professional specializing in Cloud and DevOps Engineering, Linux Administration, and Systems Engineering. Proven track record of optimizing cloud infrastructure to reduce operational costs while improving performance, scalability, and reliability. Proficient in AWS, Azure, and GCP, with hands-on expertise in performance testing and optimization using JMeter to ensure high availability and efficient resource utilization.
Overview
8
8
years of professional experience
Work History
Sr. Cloud DevOps Engineer
State Street
Boston, MA
01.2024 - Current
- Proficient in leading full-scale migration initiatives, effectively minimizing downtime, ensuring data integrity, and streamlining cross functional collaboration. Successfully delivered seamless transitions with no data loss and minimal service interruption.
- Worked on the migration of on-premise workloads to VMware Cloud on AWS (VMC), enabling seamless integration with native AWS services while ensuring minimal downtime, data integrity, and application continuity.
- Configured and mounted Amazon FSx for Windows/Linux file systems on EC2 instances and container workloads, enabling high-performance, scalable, and fully managed shared storage for cloud-based applications.
- Built end-to-end load testing frameworks to benchmark p50/p95/p99 latency under peak and stress conditions and identified performance bottlenecks in APIs and microservices through JMeter load simulations, reducing p99 latency.
- Leveraged JMeter driven load testing and p95/p99 latency analysis to optimize AWS EKS scaling strategies, reducing cloud spend while maintaining SLA targets.
- Automated and accelerated large-scale data transfers between on-premises storage and AWS cloud using AWS DataSync, ensuring secure, efficient, and scalable data migration with minimal manual intervention.
- Drove innovation through collaboration, influence, and proof-of-concept (POC) demonstrations.
- Led all aspects of the software development lifecycle, including design, coding, integration testing, deployment, and documentation.
- Worked collaboratively in an agile team environment, ensuring adherence to best practices and coding standards.
- Automated cost anomaly detection using CloudWatch metrics, AWS Cost Explorer APIs, and Grafana dashboards, reducing time-to-detection and implemented S3 lifecycle policies and intelligent tiering to move cold data to Glacier, reducing storage costs.
- Proficient in Python and Unix shell scripting for automation and data processing tasks.
- Experienced in multi-developer environments, using Git for version control.
- Integrated metrics, logs, and traces into unified observability pipelines for faster incident response..
- Implemented centralized logging architecture using Splunk, enabling faster RCA and proactive performance optimization.
- Built executive-level cost and performance dashboards in Grafana, integrating AWS CloudWatch, Prometheus, and billing data.
- Developed alerting mechanisms based on p95/p99 thresholds, reducing false positives and improving alert precision.
Cloud DevOps Engineer
Eficens Systems
Atlanta, GA
02.2021 - 12.2023
- Involved in Architecting, building and maintenance of Highly Available secure multi-zone AWS and Azure cloud infrastructure utilizing Ansible with ARM and Jenkins for Continuous Integration.
- Proficient in leading full-scale migration initiatives, effectively minimizing downtime, ensuring data integrity, and streamlining cross functional collaboration. Successfully delivered seamless transitions with no data loss and minimal service interruption.
- Expert in an Orchestration & Migration of CI/CD processes using CloudFormation, Terraform templates & Containerization of Infrastructure using Docker, which was set up in AWS VPCs.
- Provide highly durable and available data by using S3 data store, versioning, lifecycle policies, and create Amis for mission critical production servers for backup and maintained the user accounts IAM, RDS, Route 53, VPC, RDB, Dynamo DB, SES, SQS and SNS services in AWS cloud.
- Setup GCP Firewall rules to allow or deny traffic to and from the VM's instances based on specified configuration and used GCP cloud CDN (content delivery network) to deliver content from GCP cache locations drastically improving user experience and latency.
- Developed ETL pipelines to process and persist company client data using AWS Kinesis Firehose for streaming and Redshift for storage and analysis. Used AWS Kinesis Stream and firehose for streaming the data from one end to the other.
- Worked with the Terraform key features like Execution plans, Resource Graphs, Change Automation and wrote Terraform templates for AWS infrastructure to build staging and production environments for the testing department to get the work done in a flow.
- Experienced in Installing, Configured and management in Ansible Centralized Server and creating the playbooks to support various middleware application servers, and involved in configuring the Ansible tower as a configuration management tool to automate repetitive tasks.
- Created artifact documents through the source code and internal deployment in Nexus repository. Implemented Disaster recovery project on AWS using various DevOps automation for CI/CD.
- Configured Kubernetes Replication controllers to allow multiple pods such as Jenkins master server above all the slave nodes of the Jenkins slave system in multiple minions.
Cloud DevOps Engineer
FIS
Cincinnati, OH
01.2019 - 02.2021
- Provide highly durable and available data by using S3 data store, versioning, lifecycle policies, and create Amis for mission critical production servers for backup and maintained the user accounts IAM, RDS, Route 53, VPC, RDB, Dynamo DB, SES, SQS and SNS services in AWS cloud.
- Integrated GitHub Actions with AWS (via OIDC and GitHub Secrets) to securely deploy infrastructure using Terraform and manage EKS application rollouts without exposing long-lived credentials.
- Created artifact documents through the source code and internal deployment in Nexus repository. Implemented Disaster recovery project on AWS using various DevOps automation for CI/CD.
- Configured Kubernetes Replication controllers to allow multiple pods such as Jenkins master server above all the slave nodes of the Jenkins slave system in multiple minions.
- Hands-on experience managing Linux file systems, logical volumes (LVM), and troubleshooting kernel-level issues, I/O bottlenecks, and process crashes.
ML Engineer
Amazon
Hyderabad, India
06.2018 - 12.2018
- Performed Administrative and Management tasks using shell Scripts written in Bash, Python, C Shell and CRON tab in Linux to automate the various scheduled tasks.
- Developed automation scripting in Python (core) using Puppet to deploy and manage Java applications across Linux servers.
- Used Git for source code version control and integrated with Jenkins for CI/CD pipeline, code quality tracking and user management with build tools Maven and written Maven pom.xml build script.
- Used MAVEN as a build tool for Java projects and written Maven POM files from scratch for multi-module projects for the development of build artifacts on the source code.
- Designed and implemented GIT metadata including elements, labels, attributes trigger and hyperlinks and performed necessary day to day GIT support for different projects.
Education
Master of Science - Computer Science
University of Dayton
Dayton, OhioBachelor of Tech - Computer Science
GITAM University
Hyderabad, IndiaSkills
- Amazon Web Services
- Azure
- GCP
- Terraform
- CloudFormation
- Ansible
- Kubernetes
- VMC Migration
- ECS Container Services
- Azure Container Services
- GitHub
- BitBucket
- Splunk
- CloudWatch
- JIRA
- ServiceNow
- Jenkins
- Python
- Bash
- PowerShell
- Groovy
- MySQL
Timeline
Sr. Cloud DevOps Engineer
State Street
01.2024 - Current
Cloud DevOps Engineer
Eficens Systems
02.2021 - 12.2023
Cloud DevOps Engineer
FIS
01.2019 - 02.2021
ML Engineer
Amazon
06.2018 - 12.2018
Bachelor of Tech - Computer Science
GITAM University
Master of Science - Computer Science
University of Dayton