Bharath S

• Monitored and analyzed multi-cloud spending (AWS, Azure, GCP), delivering cost reports and dashboards to stakeholders across the engineering team.
• Implemented tagging strategies and cost allocation rules to enable accurate chargeback/showback models across business units.
• Identified and executed cloud cost optimization opportunities (e.g., right-sizing, Reserved Instances, Spot usage), resulting in up to X% cost savings.
• Automated cloud spend monitoring using tools like AWS Cost Explorer, Azure Cost Management, and CloudHealth reduces manual reporting effort by Y hours per month.
• Delivered monthly FinOps governance reports with actionable insights for leadership, enabling informed cloud investment decisions.
• Partnered with engineering teams to embed FinOps practices into CI/CD pipelines, ensuring that infrastructure provisioning aligns with budget controls.
• Contributed to cloud cost forecasting and budgeting by analyzing usage trends and historical spending patterns.
• Led the cost anomaly detection and resolution process, reducing billing surprises, and ensuring financial accountability.
• Trained cross-functional teams on FinOps best practices, increasing cost ownership, and improving operational efficiency.

• Worked as a Technical Developer, responsible for migrating applications from PCF to OCP4.

• Created multiple custom environments to prompt the application across environments.

• Monitoring and troubleshooting the containers specific issues across the environments.

• Configured HPA to increase or decrease the scale of a replication deployment configuration, based on metrics collected from the pods.

• Run Aqua scan and SonarQube to identify any vulnerabilities in the code and fix them. • Configuring GTM load balancing to create additional inbound traffic to the cluster.

• Using Helios CI and the delivery platform we have deployed the application into OCP4. • Configuring OCP yaml files to deploy changes using Openshift.

• Working as a DevOps engineer responsible for defining the workflow process for micro service-based application Code movement from Dev to Prod.
• Used the Ansible to create, task definitions, and Service creation for Different AWS Account for Higher-level environments.
• Monitoring and troubleshooting the containers specific issues across the environments.
• Using Ansible provisioned other AWS services for Environment setup and maintenance.
• Involved in designing and deploying multi-tier applications using all the AWS services like (EC2, Route53, S3, RDS, DynamoDB, IAM) focusing on high-availability, fault tolerance, and auto- scaling in AWS.
• Created the security groups, Elastic Load Balancer and AMIs, Auto scaling to design cost effective, fault tolerant and highly available systems.
• Deployed the servers on AWS environment and managed the configurations using Ansible.
• Deployed the Docker container images to the and automated the deployment using the kubectl utility.
• Configure jobs and pipelines using Jenkins file troubleshoot problems arising from Build failures and Test failures.
• Worked on creation of Docker containers and Docker consoles for managing the application life cycle.
• Used Maven as a build tool on java projects for the development of build artifacts on the source code.
• Establishing standards to build artifact management and build configuration.

• Releasing code to testing regions or staging areas according to the schedule published.
• Hands on experience in installing and administering CI tools like Jenkins.
• Monitoring & regularly taking backup of the server data.
• Automation of Jobs through Crontab.
• Configured Jenkins CI tool for project and setup Nightly Builds.
• Automated the code deployment process in each environment (development, QA, Staging, Production).
• Installation, Configuration and Administration of Jenkins over UNIX and LINUX build machines in distributed mode over Apache Tomcat and configured jobs along with various plug-in for Continuous Integration, Release Builds for AGILE and Production Branches.
• Accomplished in tool automation using Shell scripting.
• Participated in Bug review meetings and released the builds to pre-production and production servers.
• Responsible for the deployment on Linux for Dev/ QA, staging, production environment.
• Preparing the build statistics and producing them to the management team.
• Monitoring the Servers and Docker containers with various tools such as Zabbix, Solar Winds and Stat hub.
• Automated the creation of AMI’s for Production servers using shell script.
• Release Engineer for a team that involved different development teams and multiple.
• Worked on creation of Docker containers and Docker consoles for managing the application life cycle.
• Implemented Docker automation solution for Continuous Integration / Continuous Delivery model.