Cloud Platform Google

Location:

North Brunswick, NJ

Posted:

June 05, 2025

Contact this candidate

Resume:

KUPPA REDDY REGALLA

North Brunswick, New Jersey

+1-859-***-****

**********@*****.***

CAREER PROFILE

Over 15+ years of experience in IT industry within Middleware, Configuration Management, Cloud Services, Change/Release/Build Management, Site Reliability Engineering (SRE), Support and Maintenance in Linux environments and expertise in automating builds and deployment process with focus on DevOps tools. PROFESSIONAL SUMMARY

Experience in Google Cloud Platform (GCP) on various services like Compute Engine (GCE), Kubernetes Engine (GKE),

App Engine (GAE), Networking & Storage (GCS) Services

Experience in AWS on various services like EKS, ECS, ALB, NLB, S3, IAM, Lamda, etc

Expertise in installation, configuration, deployment, performance tuning, troubleshooting & managing of JBoss EAP, JBoss ON & JBoss DataGrid.

Expertise in WebSphere Application Server/Web logic Application Server/J boss/Tomcat Installation,

Configuration, Troubleshooting, Performance tuning, Deployments, Upgradation & Migration Expertise in

Apache, IBM HTTPServer & Oracle HTTP Server & Jboss EWS

Scheduling and maintaining jobs (hourly/daily/monthly jobs) in Control-M

Used Kubernetes to orchestrate the deployment, scaling and management of Docker Containers Experience on

Devops tools Git, Github and Jenkins.

Expertise on deployment tools like Anthill Rapid Deploy and uDeploy Monitoring

traffic trend in Akamai and moving traffic between DC’s Expertise in various

monitoring tools Dynatrace, Splunk, SiteScope, Nagios

Acquired knowledge in F5 load balancer (Irule deployments/Configuring VIP/updating pool members). Experience in

creating Docker Containers for micro service applications.

Developing Docker imagesto support development and testing teams and their pipelines. Created images

& stored in the Docker private registry.

Implemented a production ready, load balance, highly available, fault tolerant Kubernetes infrastructure. Implemented private

cloud using Kubernetes that supports DEV, TEST, and PROD environments.

Experience with Version Control Management, Branching, Merging and code repository tools i.e. GIT Responsible

in planning and providing Knowledge transfer to the new members in team.

Team player with ability to quickly learn and adapt to new technologies, organize challenges, and handle large

projects with quality and commitment in work.

Experience in managing team of around 15 resources & ensuring the deliverables are smooth on day to day basis.

Designed and implemented a continuous build-test-deployment (CI/CD) system with multiple component pipelines

using Jenkins to support weekly releases and out-of-cycle releases based on business needs. Had been to client

location Macys Systems and Technologies, Atlanta(USA) twice to involve in planning and implementation of setting up for Holiday season.

SKILLS

Cloud Technologies: Google Cloud Platform (GCP), IBM Softlayer, AWS

DevOps Tools: GIT, GitHub Artifactory, Jenkins, Puppet, Docker, kubernetes

Middleware: Jboss 6.x &7.x EAP, EWS & JDG, Websphere Application server 6.x,7.x, Weblogic 11g, Tomcat, Apache

Operating Systems: RedHat Linux Platform’s andAIX.

System Engineering: Issue Tracking, Test automation, Source control repository. SDLC

Methodologies: Agile, Scrum, Waterfall.

Virtualization: VM Ware ESX/ESXi.

Scripting: Shell Scripting, Python.

Deployment Tools: U Deploy, Anthill, spinnaker.

Ticketing Tools: ServiceNow, Jira, Fcweb, BMC Remedy. Monitoring

Tools: Dynatrace, Splunk, Nagios, SiteScope, ControlM.

Load Balancers: F5, ASM.

Edge Servers: Akamai

EXPERIENCE SUMMARY

Worked for JPMorgan Chase from March 2022 to April 2025

Worked for Infosys India Pvt Ltd from June 2019 to March 2022

Worked for Sun Technologies from Aug 2018 to May 2019

Worked for Softvision May 2013 to Aug 2018

Worked for IBM India Pvt Ltd from May 2010 to May 2013 Projects

JP MORGAN CHASE: Banking USA March 2022 –April 2025 Team: DRO-Web

Technology: Amazom Web Services, Terraform, Spinnaker GIT, Bitbucket, Jenkins. Duration: March 2022 to April 2025

Role: Middleware Infrastructure and Cloud Engineer. Environment: AWS and GCP Cloud, IBM WebSphere Application Server 9.X, JBoss EWS & EAP, Tomcat, Nginx. Tool: Dynatrace, Udeploy, Control-M, F5 (Load Balancer), Anthill, Spinnaker. Monitoring tools: Splunk, Dynatrace, Nagios, SiteScope, Datadog. Edge Server: Akamai

Responsibilities:

• Designed and implemented fully automated CI/CD pipelines using Jenkins, GitHub ActionsTerraform and spinnaker for seamless code deployments into AWS infrastructure, ensuring high reliability and efficiency in software delivery.

• Reduced infrastructure costs by 30% by optimizing AWS resource allocation, leveraging Karpenter for dynamic EKS node provisioning, and implementing Auto Scaling Groups.

• Accelerated CI/CD pipeline execution by 50%, reducing deployment time from 40 minutes to under 20 minutes by optimizing Tekton and Bamboo workflows .

• Proficient in leveraging GitHub for version control, CI/CD automation using GitHub Actions, and secure collaboration across teams.

• Migrated from AWS ECS to AWS EKS, improving workload orchestration and scalability by 3x while reducing operational overhead.

• Refactored application deployment pipelines for Kubernetes-native workflows in EKS and Elastic Beanstalk, ensuring seamless integration with existing CI/CD processes.

• Optimized Kubernetes infrastructure with Karpenter, enabling dynamic scaling, reducing idle compute costs by 25%, and improving cluster efficiency.

• Deployed and managed OpenSearch as a backend data store, ensuring sub-50ms query response times and high availability for mission-critical applications.

• Implemented SRE best practices, including error budgets, SLOs, automated incident response, and self-healing architectures, improving MTTR (Mean Time to Resolution) by 40%.

• Enhanced observability and incident response using CloudWatch, Splunk, and DataDog Dashboards, proactively detecting and resolving 95% of issues before impacting users.

• Automated AWS infrastructure provisioning using Terraform and CloudFormation, ensuring100% consistency across environments and reducing manual errors.

• Played a key role in AWS Landing Zone (NLZ) implementation, improving security, governance, and compliance adherence across multiple environments.

• Developed data transformation scripts using Python and PySpark to preprocess large datasets on EMR and Glue

• for downstream analytics.

• Built custom Airflow operators and DAGs in Python, enabling modular and reusable workflow components.

• Developed self-healing architectures using Kubernetes health probes, AWS Lambda, and automated failover mechanisms, reducing downtime and improving availability.

• Conducted post-mortem analysis for incidents, identifying root causes and implementing corrective actions to prevent recurrence, reducing incident frequency by 35%.

• Implemented chaos engineering principles to proactively test failure scenarios and improve system stability.

• Orchestrated data processing workflows using AWS EMR Serverless and Apache Airflow, improving data processing efficiency by 60%.

• Developed Python automation scripts to streamline operational tasks, reducing manual intervention by 40%.

• Managed GitHub repositories, enforcing branching strategies, permissions, and CI/CD integrations, ensuring seamless collaboration and code stability.

• Led zero-downtime deployments, implementing canary releases, blue-green deployments, and rollback automation, reducing deployment failures by 90%.

• Collaborated with cross-functional teams to enhance system reliability, resulting in a 30% reduction in downtime and improved user satisfaction.

• Collaborated with cross-functional teams to integrate GCP DevOps pipelines for specific healthcare compliance modules.

• Integrated OpenTelemetry for distributed tracing and metrics collection, enhancing application observability and improving system performance monitoring across microservices.

• Collaborated with data teams to support data lake ingestion pipelines using AWS Glue, Airflow, and S3 lifecycle policies.

• Created dashboards for capacity forecasting and cost tracking using QuickSight and Grafana.

• Maintained documentation, playbooks, and recovery strategies for critical services hosted across AWS and Google cloud.

• Hands-on experience automating IT workflows and provisioning with Ansible.

• Designed and implemented AWS Step Functions to orchestrate complex workflows using Lambda, SQS, SNS and other AWS services.

• Implemented secure infrastructure solutions ensuring compliance with HIPAA for patient data protection.

• Supported GDPR compliance initiatives by designing secure access controls, audit logging, and data encryption mechanisms.

• Automated security workflows by leveraging and integrated it with CI/CD pipelines, reducing response time to critical threats by 30%.

• Integrated Dynatrace for full-stack application performance monitoring and automated anomaly detection in production systems.

Client: Macys & Bloomingdales Technologies June 2019 – May 2022 Company: Infosys India Pvt Ltd.

Project: Macys System’s and Technologies

Role: Site Reliability Engineer (SRE).

Project: Macys System’s and Technologies

Role: Devops

Environment: GCP Cloud, IBM WebSphere Application Server 9.X, JBoss EWS & EAP, Tomcat, Nginx. Tool: Dynatrace, uDeploy, Control-M, F5 (Load Balancer), Anthill, Spinnaker. Monitoring tools: Splunk, Dynatrace, Nagios, SiteScope, Datadog.

• Installation and Upgrading WAS & JBoss on Linux and AIX servers.

• Creation of application server profiles, configuring WebSphere Application server and deploying applications.

• Configuring data sources, MQ Queues, connection factories, Listener Ports.

• Providing support, troubleshooting during migrations and testing in QA, staging environments.

• Working closely with Development team to resolve the issues in Integration, QA and Staging environments.

• Developing Shell and Python scripts for environmental automation.

• Configuring uDeploy and Anthill resources for auto deployments and recycles.

• Creating & configuring groups in JON to manage standalone and HA profiles.

• Involved in creating server build sheets, FW rules & LB pools.

• Implemented Modcluster configuration in JBoss for load balancing.

• Installing and configuring monitoring tools like Dynatrace, Splunk, Sitescope and SIEM.

• Experience in Google Cloud Platform (GCP) on various services like Compute Engine (GCE), Kubernetes Engine (GKE), App Engine (GAE), Networking & Storage (GCS) Services.

• Experience in AWS on services like EKS, ECS, ALB, NLB, S3, IAM, Lambda, etc. Client: Macys & Bloomingdales Technologies Aug 2018 – June 2022 Company: Sun Technologies Integrators Pvt Ltd

Project Macys System’s and Technologies

Role: Site Stability Team (SMT).