Summary
Overview
Work History
Education
Skills
Timeline
Generic

Dinesh Reddy Pinnamul

Alpharetta,GA

Summary

6+ years of experience in DevOps, Site Reliability Engineering (SRE), Linux Administration, Build/Release Management, Change/Incident Management, and Cloud Infrastructure. 4+ years as an SRE, focusing on system reliability, automation, and operational efficiency. Extensive experience with AWS cloud infrastructure, including services like VPC, EC2, S3, EBS, IAM, RDS, CloudFormation, Lambda, and CloudWatch for scalable and secure deployments. Architected and managed highly available, fault-tolerant, and disaster recovery-ready environments on AWS, utilizing Auto Scaling, Elastic Load Balancing, and Route53. Automated infrastructure provisioning using AWS CloudFormation, Terraform, and configuration management tools like Chef, Puppet, and Ansible. Established and maintained CI/CD pipelines using Jenkins, Maven, Bitbucket, Nexus, and GitLab, enabling continuous integration and delivery. Implemented and enforced AWS IAM policies for secure access management across environments, ensuring compliance with security best practices. Deployed and managed containerized applications using Docker, Kubernetes, and AWS ECS/EKS, ensuring efficient orchestration and scaling of microservices. Utilized AWS CloudWatch, DataDog, Splunk, and ELK stack for system and application monitoring, setting up alerts, dashboards, and log analysis for proactive incident response. Led Splunk implementation, reducing incident detection and resolution times by 30% through advanced dashboards, alerts, and data-driven insights. Automated repetitive tasks and configuration management with Ansible and Ansible Tower, streamlining deployments and minimizing human error. Experience in monitoring and maintaining service-level indicators (SLI) and ensuring systems meet defined service-level objectives (SLO) for reliability, latency, and availability. Hands-on with Docker for containerized deployments and integration with CI/CD processes. Proficient in scripting with Shell, Python, Ruby, Perl, and JavaScript to automate tasks and manage infrastructure. Deep knowledge of RDBMS such as Oracle, MySQL, and SQL Server, with experience in querying and maintaining data integrity using PL/SQL. Familiar with incident and bug tracking tools such as JIRA, HP Quality Center, Fisheye, and IBM ClearQuest. Conducted root cause analysis (RCA) for production incidents and implemented corrective action plans. Provided 24x7 on-call support for production systems, managing escalations, troubleshooting, and issue resolution. Strong troubleshooting skills in build, deployment, and production support environments, ensuring system stability and uptime.

Overview

6
6
years of professional experience

Work History

Site Reliability Engineer

Newell Brands
08.2022 - Current
  • SRE for a team that involved different development teams and multiple simultaneous application/software releases. Provided daily monitoring, management, troubleshooting and issue resolution to systems and services hosted on cloud resources.
  • Performed L2 & L3 level Full Life-cycle triage for all events on production servers including incident logging, troubleshooting. Management of Production crisis events.
  • Improve and maintain the web application life cycle from inception to design, deployment, operation and refinement.
  • Configured and managed public/private cloud infrastructures utilizing Amazon Web Services (AWS), including EC2, Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Elastic Load-balancers, S3, Elastic Beanstalk, Cloud-Front, RDS, Route53, Cloud-Formation, Cloud Watch and IAM.
  • Ensure and maintain the reliability, availability and performance of applications.
  • Involved in building and maintaining highly available secure multi-zone AWS cloud infrastructure utilizing Chef with AWS Cloud Formation and Jenkins for continuous integration.
  • Worked with Software Engineering teams to evaluate system specifications, provision and support delivery of application infrastructure.
  • Responsible for setting up high availability and Disaster Recovery for all Prod facing Apps.
  • Played an active role in critical production issue resolution both (Priority 1 and Priority 2).
  • Led the implementation of Splunk, optimizing system monitoring and reducing incident detection and resolution times by 30%
  • Utilized Splunk for deep data analysis and automation, significantly enhancing system insights and operational efficiency
  • Developed custom Splunk dashboards and alerts, improving system reliability and user response capabilities
  • Experience in designing, analyzing and troubleshooting large-scale distributed systems.
  • Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on GCP (Google Cloud Platform). Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy.
  • Installed and configured Ansible Tower with multi-AZ configuration across multiple environments backed up by RDS for state preservation
  • Managing Amazon Web Services (AWS) infrastructure with automation and configuration management tools such as Chef, or custom-built designing cloud-hosted solutions, specific AWS product suite experience
  • Defined security groups which acted as virtual firewalls to control the incoming traffic onto one or more EC2 instances.
  • Created S3 bucket and managed the policies for S3 bucket and Storage, Backup of logs into Glacier buckets, performed folder management in each bucket, Managed cloud trial logs and objects within each bucket.
  • Involved in creation and setup of server-less pipelines for Lambdas using groovy and terraform, and CI-CD pipelines for microservice architectures. Maintained documentation on Confluence.
  • Extensive working on Cloud Formation and Deploying the Web application using Docker and hosting it to the cloud.
  • Operated with Terraform key features such as Infrastructure as code, Execution plans, Resource Graphs, Change Automation as well as used for server provisioning.
  • Template AWS Infrastructure as code using Terraform to build staging and production environments.
  • Administered and Engineered Jenkins for managing weekly Build, Test and Deploy chain, SVN/GIT with Dev/QA/Prod Branching Model for weekly releases
  • Configured Cloud Watch Alarms for AWS resources like EC2, ELB, RDS etc..
  • Wrote Ruby, Python, Shell (Bash), Perl and Batch/Power-shell scripts to automate the deployments.
  • Worked on Splunk, Dynatrace and JIRA for monitoring and troubleshooting to create an Incident/Problem ticket for Root cause analysis.
  • Provided 24x7 on-call supports for product delivery platforms and application troubleshooting and problem resolution, including managing, escalating, scheduling and reporting corrective actions
  • Environment: AWS, GCP, Puppet, CICD Pipeline, Jenkins, GIT, Gerrit, AWSEC2, S3, VPC, Terraform, Ansible, Docker, Kubernetes, Maven, SCM, Nagios

DevOps Engineer

NCR Corporation India Pvt Ltd
08.2019 - 07.2022
  • Launched Amazon EC2 Cloud Instances using Amazon Web Services and Configuring launched instances with respect to specific applications.
  • Implemented Elastic Load Balancer (ELB’s) and Auto-scaling groups in AWS on production EC2 instances to build Fault-Tolerant and highly available applications.
  • Setup CI/CD pipeline so that each commit a developer makes will go through standard process of software lifecycle and gets tested well enough before it can make it to the production.
  • Experience with container-based deployments using Docker, working with Docker images, Docker Hub and Docker-registries and Kubernetes.
  • Used Jenkins pipelines to drive all micro services builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes
  • Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on GCP (Google Cloud Platform). Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy.
  • Involved in development of test environments on Docker containers and configuring the Docker containers using Kubernetes.
  • Integrated GIT into Jenkins to automate the code checkout process.
  • Configured and maintained Jenkins to implement the CI process and integrated the tool with MAVEN to Schedule the builds.
  • Developed and automated build scripts and deployed using MAVEN as build tool and Nexus as build repository, in Jenkins, to move from one environment to other environments.
  • Worked with various agile development teams to standardize branching and tagging of code in our repository and maintain code base integrity using Atlassian Bitbucket and GIT.
  • Designed project workflows and pipelines using Groovy script in Jenkins as CI tool, key role in converting existing Jenkins jobs into the new pipeline process.
  • Upgraded Atlassian Confluence, when users experienced intermittent issues at the Enterprise level, with the help of Atlassian support team.
  • Used Dynatrace as a monitoring tool to identify and resolve infrastructure problems before they affect critical processes. And created email alerts and threshold values using Dynatrace for our releases.
  • Roll-out and support Docker-based infrastructure platform in Test Environments and Production environments using Docker and Rancher.
  • Worked ondocker images aDocker File, worked on Docker Swarm container snapshots, removing images and managing Docker volumes. Worked on creating DockerSlave Node For Jenkins using customDocker SwarmImages and pulled them.
  • Automated AWS components like EC2 instances, Security groups, ELB, RDS, IAM through AWS Cloud information templates.
  • Automated monotonous technical tasks using scripting language Python.
  • Environment: AWS, CICD Pipeline, Cloud Bees Jenkins, Bitbucket, GIT, Maven, SCM, Nexus, Jfrog, SonarQube, DevTest, XLR, Confluence, AWSEC2, S3, VPC, MS SQL 2008, Terraform, Ansible Tower, Docker, Kubernetes

Education

Master of Science - information technology management

Webster University
St Louis, MO
03.2024

Bachelor of Science - computer science

Osmania University
Hyderabad
05.2019

Skills

  • Operating Systems: RHEL/CentOS 5x/6x/7, Ubuntu/Debian/Fedora, MacOS, Sun Solaris 7/8/9/10, Windows Server 2003/2008/2012
  • Cloud Environment: AWS
  • Build/Automation Tools: Puppet, Chef, Ant, Maven, Jenkins
  • Languages: Shell, Bash, Perl, Ruby and Python scripting
  • Monitoring tools: Splunk, App-dynamics, Dynatrace , Data-dog
  • Databases: Oracle, MySql, MongoDB, Cassandra, PostgreSQL, SQL Server
  • Web/App Server: Apache, IIS, HIS, Tomcat, WebSphere Application Server, JBoss
  • Bug Tracking Tools: JIRA, Fisheye, Crucible, Rally
  • Version Control Tools: Subversion, GIT, Tortoise SVN, Visual SVN, TFS
  • Web Technologies/Programming Languages: Servlets, JDBC, JSP, XML, HTML, Net, Java Script, Java/J2EE, C, C, Ruby, Perl scripting, Python, Shell scripting

Timeline

Site Reliability Engineer

Newell Brands
08.2022 - Current

DevOps Engineer

NCR Corporation India Pvt Ltd
08.2019 - 07.2022

Master of Science - information technology management

Webster University

Bachelor of Science - computer science

Osmania University
Dinesh Reddy Pinnamul