Sai kiran kontham
Phone: 512-***-****
Email: *******************@*****.***
Carrier Overview:
DevOps professional with six years of experience in designing, implementing, and managing scalable and highly available infrastructure. Proficient in cloud platforms, CI/CD pipelines, configuration management, and automation tools. Strong problem-solving skills and a collaborative approach to deliver innovative solutions for optimizing software development processes.
Skills & Abilities
Virtualization Platforms
VirtualBox, VM Ware.
Software Provisioning Tools
Chef, Ansible, Docker.
Continuous Integration Tools and configuration tools
Jenkins, Chef, GitHub.
Build Tools
Ant, Maven.
Scripting Languages
Bash, Shell Script, Python.
Version Control
Git, GitHub, and SVN.
Cloud services
AWS.
Operating System
Windows, Red Hat, UNIX
Languages
Shell, Bash, Python.
Education:
Masters in computer science from Southern Arkansas University, AR (2017)
Bachelor of Engineering in Jawaharlal Nehru Technological University, INDIA. (2015)
Experience
Client : Wells Fargo, Dallas, TX
Role : DevOps Cloud Engineer
Duration : August 2020 – April 2023
Responsibilities:
Developed and maintained CI/CD pipelines using Jenkins, enabling frequent and automated software releases, resulting in faster time to market and improved product quality.
Implemented Infrastructure as Code using Terraform, reducing manual provisioning efforts by 40% and ensuring consistent infrastructure across multiple environments.
Managed and optimized containerized environments with Kubernetes, achieving efficient resource utilization and enabling seamless scaling of applications.
Collaborated with cross-functional teams to automate configuration management using Ansible, reducing deployment errors and ensuring consistent server configurations.
Implemented comprehensive monitoring and logging solutions using ELK Stack and Prometheus, enabling proactive identification and resolution of performance and security issues.
Conducted regular security assessments and implemented security best practices, resulting in enhanced infrastructure security and compliance with industry standards.
Implemented approval mechanisms in the CICD pipeline for promotion to higher environments.
Deploy and monitor scalable infrastructure on Amazon web services (AWS) & configuration management.
Involved in performing application deployment to AWS Elastic Bean Stack environment.
Configured & deployed Java applications on Amazon Web Services (AWS) for a multitude of applications utilizing the AWS stack, cloud formation.
Client : Charles Schwab, San Francisco, CA
Role : DevOps/Release Engineer
Duration : September 2018 – June 2020
Responsibilities:
Created continuous integration/deployment with Application Release Automation by integrating and improving client's existing infrastructure and build pipelines, largely aiming for autonomous automation when possible.
Deploying, automating, maintaining multiple texture (Java, .Net, Node JS) application from GitHub to AWS by setting up Continuous Integration and Continuous Deployment which automatically runs a new container build, pushes container Images .
Setting up continuous build to produce Docker images and orchestration for increasing the speed and reliability of the deployment.
Implemented approval mechanisms in the CICD pipeline for promotion to higher environments.
Deploy and monitor scalable infrastructure on Amazon web services (AWS) & configuration management.
Involved in performing application deployment to AWS Elastic Bean Stack environment.
Configured & deployed Java applications on Amazon Web Services (AWS) for a multitude of applications utilizing the AWS stack, cloud formation.
Involved in phases of testing for example Integration testing, Smoke testing Performance testing and Load testing. We are also using inbuilt test cases in Jenkins and running those tests on master branch.
Developed build & deployment scripts using MAVEN. Automated the process using plugins available Jenkins and move from one environment to other throughout the build pipeline.
Release Management and coordination with multiple stakeholders (Dev, QA, DBA, Middleware, Infrastructure, Security teams) for Major, Minor, and emergency releases to production & non-production environments
Client : Walmart, Bentonville, AR.
Role : Build and release engineer
Duration : June 2017 –August 2018
Responsibilities:
Worked on all phases of the project life cycle such as SCM, Continuous integration, Continuous deployment, Continuous management, and Continuous monitoring by using various tools and services.
Created Branches, Labels and performed Merges in SVN and GIT.
Involved in writing Maven build scripts for generating Java based artifacts such as JAR, WAR, and EAR.
Created Jenkins job to build the artifacts using maven, deploy the Terraform templates to create the stack.
Implementing a Continuous Delivery framework using Jenkins, CHEF, and Maven in Linux environment.
Used Jenkins as a Continuous Integration tool and Installed various plugins to build scheduled jobs.
Experience using AWS such as EC2, S3, Dynamo DB, SNS, SQS, Lambda, VPC, IAM, Route 53, CloudWatch, ELB, Auto Scaling, Glacier, CloudFront, CloudTrail.
Launching Amazon EC2 Cloud instances using Amazon images (Linux/Ubuntu) and configuring launched instances with respect to specific applications.
Implemented Elastic Load Balancers (ELB) and Auto Scaling groups in AWS of production EC2 instances to build Fault-Tolerant and Highly available applications.
Created new infrastructure setup in AWS which involves creation of automation scripts using Terraform integrating with continuous integration using Jenkins.
Hands on administrative experience with the installation of packages and deployment of applications in Web Logic, Web Sphere and Apache Tomcat Server.
Experience in working several Docker components like Docker Engine, HUB, Compose, and Docker Registry for storing Docker images and files, running multiple containers in Staging and Production environments.
Wrote Ansible playbooks with Python SSH as the Wrapper to manage configurations of AWS nodes and tested playbooks on AWS instances using Python.
Installed and configured Nagios monitoring tool for the production and test environment servers.
Worked with JIRA for creating projects, assigning permissions to users and groups for the project, created mail handlers and notification schemes for JIRA.