• Worked as an SRE for AppDynamics Cisco managing Infrastructure and maintaining the SLA. • Assist in development of custom dashboards and Business Transaction auditing for efficient monitoring of key business applications• Support and maintain Build and Release Engineering Public/Private cloud Infrastructure.• Responsible for management and administration of AWS, TeamCity, and other automation infrastructure.• Serve as an escalation point for production issues during shift or as required.• Managing AWS EKS clusters versions up to date by upgrading the cluster and node group using Terraform and helm.• Integrated vulnerability scanning tools such as SonarQube and Black Duck into TeamCity CI/CD pipelines to ensure code security and compliance.• Conducted regular audits of code quality and dependency vulnerabilities, providing recommendations to development teams for proactive fixes.• Ensured high availability and minimal downtime by architecting disaster recovery solutions for mission-critical applications using Kubernetes, Helm and TeamCity.• Managing Multiple TeamCity Ephemeral and Hardened Build Agents which supports AIX, Linux, MAC, Windows and HP-UX.• Provisioning testkube instance setup and debugging sessions for product teams to validate new features of the application.• Managing Kotlin files for TeamCity to manage a Library based pipelines which will be used by platform teams.• Work with key Business stakeholders to understand their business requirements, recommend potential solutions, and secure resources to deliver• Maintain key operational metrics and provide regular updates to upper management• Deliver operational services that focus on empowering our employees and reducing cost per end-user.• Seek opportunities to streamline standard operating procedures through automation.

• Worked as DevOps Engineer managing docker containerized applications which are running on top of Bare metal.• Managed Applications by enhancing Continuous Delivery and infrastructure change by using Ansible and Docker to deploy code using GIT, Jenkins.• Experience in setting up Product level builds in Jenkins and responsible for running integration tests, box and system tests before product deployment.• Supported continuous Integration and automated deployment process by implementing Scheduled Jobs in Jenkins.• Implemented Jenkins Jobs with backend Ansible templates for OS Level Kernel Patching and DB Patching.• Managed and automated Disaster Recovery (DR) for Active-Active and Active-Passive applications using Ansible as back-end code with Jenkins as CD.• Replicated/Scaled number of gallery and worker instances for Application teams per requirement.• Created and wrote shell scripts (Bash), Python for automating tasks.• Developed and implemented various scripts using Python, Shell, Groovy for Jenkins pipelines.• Developed GIT hooks for the local repository, commit, pull and push code to remote repositories in GitHub.• Jenkins automated GitHub repo setup with branch protection rules, webhooks and additional security measurements.• Experienced in all phases of the software development life cycle (SDLC) with specific focus on the build and release of quality software. Experienced in Waterfall, Agile/Scrum and most recently Continuous Integration (CI) and Continuous Deployment (CD) practices.• Managed Application traffic NetScaler using REST API and automated using Ansible URI modules.

• Worked as Cloud-Ops Engineer managing containerized applications with multiple Application teams.• Standardize, develop, and maintain common development tools and infrastructure, such as CI/CD pipelines, monitoring, cluster management, config management, etc.• Configure, monitor and automate Amazon Web Services.• Implemented Datadog monitoring for Infrastructure and application level for all layers in the Environment, which includes AWS, DC/OS and Kubernetes.• Used Kubernetes to orchestrate deployments, scaling and management of applications using its nodes, Config Maps, selector, Services and deployed application containers as Pods.• Developed Helm Charts to deploy various applications in Kubernetes clusters which include Datadog, King Kong, Kafka and Kafka Manager, Aqua Security etc.• Integrated Datadog to AWS Cloud using IAM Roles and Lambda Functions to route AWS service level logs and Metrics directly to Datadog HQ.• Automated Ansible deployments of Datadog in all the AWS EC2 Instances which gives the infrastructure level and Application-Level Monitoring.• Developed Helm Charts to deploy various applications in Kubernetes clusters which include Datadog, King Kong, Kafka and Kafka Manager, Aqua Security etc.