Sai Teja

• Managed the development and implementation of infrastructure automation solutions using AWS technologies such as EC2, S3, ECS, EKS, Lambda.
• Created IAM policies for users and groups with proper access control levels according to organizational security requirements.
• Configured backup plans for data stored in Amazon S3 buckets by scheduling regular backups and establishing retention periods.
• Involved in troubleshooting issues related to serverless architectures running on AWS Lambda functions or API Gateway endpoints.
• Worked on automation scripts using python boto3 in lambda functions to trigger the api calls of applications from s3 alerts.
• Integrated aws batch with application api's calls using lambda python functions for fargate batch jobs.
• Integrated aws steps functions with s3 and event bridge events to filter out the files incoming to s3 through sftp servers using logic.
• Created dashboards on Amazon quicksight using Amazon Athena and glue to create the tables from data of s3 buckets.
• Configured monitoring tools such as CloudWatch Logs, Metrics and Alarms for tracking resource utilization across various cloud deployments.
• Developed CI and CD pipelines using CodePipeline and CodeBuild which can be used by DevOps teams for automated deployment of application code changes in GitHub.

• Actively involved in the architecture of DevOps Platform and cloud solutions.

• Build Automation and Build Pipe Development using Jenkins/codebuild and ec2.

• Leveraged Amazon Web Services like EC2, RDS, EBS, ELB, Auto scaling, AMI, IAM through AWS console and API Integration.

• Created S3 Buckets and managed policies for S3buckets access to applications and roles, utilized S3buckets for storage and backup on AWS.

• Implemented & maintained the monitoring and alerting of production and corporate Servers/storage using AWS Cloud watch.

• Worked in an Agile development team to deliver an end to end continuous integration/continuous delivery of CI/CD product in an open-source environment using tools like AWS Code pipeline and Jenkins.

• Involved in creating and working through Docker images, containers and Docker Consoles for managing Application Life cycle.

• Worked on Container management using Docker by writing Docker files and set up the automated build on Docker HUB and installed and configured Kubernetes.

• Used JIRA as a Change Management/Work Management/SCRUM Agile Tool.

• Worked on the Microsoft Release management server for maintaining the release
  management activities.
• Used Maven scripts to build the source code. Supported and helped to create Dynamic Views and Snapshot views for end users.
• Created and maintained various DevOps related tools for the team such as provisioning scripts, deployment tools, and development and staging environments on AWS and Cloud.
• Developed comprehensive DevOps strategies to ensure reliability and scalability of applications.
• Designed and implemented CI/CD pipelines to automate the delivery of software applications.
• Analyzed existing applications for performance bottlenecks and implemented solutions to improve scalability.

• Developed automated deployment processes and scripts to ensure a smooth transition from development to production.
• Created CI and CD pipelines with Jenkins and Docker to automate the build process of applications.
• Implemented systems automation using scripting languages like Python and Bash.
• Maintained version control systems such as GitLab for all software development projects.
• Collaborated with developers in order to troubleshoot application related issues quickly.
• Worked closely with DevOps teams in order to design best practices for deploying applications into production environment.

• Developed and maintained build scripts for automating the software builds.
• Managed source code repositories using version control systems such as Subversion, GIT.
• Implemented automation solutions to streamline the software deployment process.
• Analyzed system logs to identify potential problems and areas of improvement in the build and release processes.
• Maintained a library of artifacts related to each release cycle including installation packages, configuration files, test results.
• Performed unit tests on applications before they are released into production environments.