Sai Teja Peddi

Around 8 years in IT comprising of Designing, Development, Integration of DevOps tools, Cloud Automation, Configuration Management, Build and Release, Delivery management and Cloud Migration. Expertise in DevOps which includes technologies and platforms like UNIX/Linux, Jenkins, GitHub, VMware, Puppet, Vagrant, Tomcat. Experience is cloud administration with AWS and Google Cloud (GCP). Hands on experience in provisioning and managing Hadoop clusters on Google Cloud Platform Compute Engine instances. Configured and troubleshoot on Google Cloud Platform for customers with network, application and security issues. Proficient in Python, Shell Scripting, SQL build utilities like open make, ANT and Cruise Control. Managing security groups on AWS, focusing on high-availability, fault tolerance, and auto-scaling using Terraform templates. Along with Continuous Integration and Continuous Deployment with AWS Lambda and AWS Code Pipeline. Experienced in both framework and CloudFormation to automate AWS environment creation along with the ability to deployment on AWS, using build scripts (AWS CLI) and automate solutions using Shell and Python. Experience in creation and deployment of a tool to automate branch and project creation in GIT using Groovy in Jenkins file and automating with Chef and Ansible. Worked on AWS EC2/VPC/S3/SQS/SNS based on automation Terraform, Ansible, Python, Bash scripts. Created multiple Python, Bash, Shell and Ruby Shell scripts for various application-level tasks. Hands-on experience in configuring Chef Server Enterprise on-premise, workstation bootstrapped the nodes using knife and automated by testing Chef Recipes, Cookbooks with test-kitchen and chef spec. Extensive experience in installing, configuring and administering Jenkins CI tool on Linux machines. 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. Hands-on experience in using OpenShift for container orchestration with Kubernetes, container storage, automation, to enhance container platform multi-tenancy. Knowledge on Google Machine learning and AI. Excellent experience with Python development under Linux OS and Mac OS. Knowledge of Docker Hub, Docker Swarm, Docker Container network, creating Image files primarily for middleware installations & domain configurations. Evaluated Kubernetes for Docker Container Orchestration. Knowledge on APIGEE. Good understanding of the principles and best practices of Software Configuration Management (SCM) in Agile, Scrum, and Waterfall methodologies.