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Click here or scroll down to respond to this candidateCandidate's Name
DevOps EngineerEmail: EMAIL AVAILABLEPhone: PHONE NUMBER AVAILABLELinkedIn: https://LINKEDIN LINK AVAILABLE PROFESSIONAL SUMMARY- DevOps Engineer with over 8 years of experience in Azure, AWS, and GCP, delivering high-impact cloud solutions through Infrastructure as Code (IaC) with Terraform.- Skilled in designing and deploying containerized environments using Kubernetes and Docker, improving scalability and performance.- Proven expertise in building and optimizing CI/CD pipelines with tools like Jenkins, Azure DevOps, and Google Cloud Build, accelerating software delivery by as much as 25%.- Strong automation skills using Python, Bash, and PowerShell, streamlining deployment processes and cutting manual intervention by 30%.- Experienced in implementing DevSecOps practices, enhancing security and compliance, with a 20% reduction in unauthorized access incidents.- Demonstrated ability to manage infrastructure configuration and application deployment efficiently, achieving 25% reductions in release cycle times.- Effective collaborator with cross-functional teams, consistently enhancing system reliability and operational efficiency through advanced monitoring and performance tuning. EMPLOYMENT HISTORYDEVOPS ENGINEER Jun 2023 - PresentGEICO East Rutherford, New Jersey- Resolved Terraform module version conflicts by leveraging ARM templates, setting up environment-specific configurations for development, staging, and production which standardized deployment and reduced error rates.- Developed reusable Terraform modules for Azure, facilitating infrastructure deployment across development, test, and production environments, reducing setup time.- Configured AKS clusters with Azure CNI for optimized network traffic and deployed internal load balancing which boosted network performance and reduced latency.- Configured secure VPN connections to Azure virtual networks using IPsec protocols which improved server connectivity and reduced data transmission time.- Implemented real-time analytics with Splunk, creating custom queries for error rates and system performance metrics which improved log analysis efficiency and enabled faster issue diagnosis.- Created custom dashboards in Datadog for monitoring critical application metrics, reducing incident response time by 25% through proactive alerting.- Automated CI/CD pipeline for microservices by structuring Jenkins pipelines to trigger Ansible playbooks ensuring consistent Docker deployments to Kubernetes and reducing deployment cycles by 40%.- Automated API deployment with Azure CLI and PowerShell scripts orchestrating releases via Helm charts on AKS which reduced deployment time.- Automated code checkout with Jenkins and GIT integration reducing build times and enhancing version control accuracy.- Developed Azure DevOps CI/CD pipelines for microservices deploying web apps on Azure App Services and reducing deployment time.- Oversaw Azure Kubernetes Service (AKS) deployments and scaling with Helm and Prometheus ensuring high availability and improving scalability by 25%.- Centralized user authentication through Azure Active Directory implementing role-based access controls to streamline user management and reduce unauthorized access incidents.- Secured sensitive credentials by integrating Azure DevOps with Azure Key Vault improving compliance and reducing security risks.- Optimized data retrieval from Azure SQL Databases by implementing indexing and query restructuring enhancing query performance and reducing retrieval time by 30%.- Implemented DevSecOps practices in Azure by conducting code analysis with Azure Security Center managing secrets with Azure Key Vault and ensuring compliance and security of the software delivery process.- Automated deployment processes with Python and PowerShell scripts, decreasing manual effort. DEVOPS ENGINEER Aug 2020 - Jul 2022Genpact Hyderabad, India- Automated Azure infrastructure provisioning with Terraform by creating reusable modules and leveraging state management which reduced manual configuration efforts increased deployment consistency.- Provisioned and scaled Microsoft Azure resources using ARM templates and Azure CLI scripts automating deployments and decreasing manual effort which improved efficiency in handling cloud resources.- Deployed and managed multi-cluster Kubernetes environments on AKS and OpenShift using custom Helm charts for microservices and enabling autoscaling which optimized resource allocation and improved scalability by 30%.- Executed Blue-Green deployments for Dockerized applications on Kubernetes leveraging Istio for traffic management achieving zero-downtime releases and enhancing user experience through seamless version transitions.- Designed and implemented CI/CD pipelines on Azure using Jenkins and Azure DevOps integrating automated testing and validation which streamlined delivery cycles and reduced release time by 35%.- Automated secret management across Azure environments with PowerShell scripts that rotated secrets and managed access permissions reducing manual intervention and bolstering security posture by enforcing timely secret updates.- Configured scalable Azure infrastructure using ARM templates aligning with best practices and improving deployment reliability by 20%.- Implemented CI/CD pipelines using Azure DevOps with built-in testing staging and release automation reducing deployment time and increasing deployment frequency for microservices applications.- Managed version control across GitHub and GitLab implementing branch protection policies and automated merge request checks which ensured codebase integrity and streamlined collaboration among developers.- Conducted Linux server administration using Ansible for configuration management and tuned server performance with tools like top and iostat maintaining stable and secure environments and reducing performance issues.- Secured sensitive data across environments by implementing Azure Key Vault for secrets management adhering to best practices for credential storage and reducing exposure incidents through role-based access control policies. SRE / DEVOPS ENGINEER May 2018 - Jul 2020DXC Technology Hyderabad, India- Reduced release cycle times by integrating Maven for build automation, JFrog for artifact management, and Terraform for IaC within Jenkins CI/CD pipelines, which improved build consistency and deployment speed.- Managed GitHub repositories with automated workflows, configured webhooks for real-time updates, and integrated GitHub Actions, which streamlined CI processes.- Optimized Maven build lifecycles by implementing parallel builds and customized build profiles, reducing build times for Java projects.- Enhanced CI/CD processes with Jenkins, leveraging plugins for automated testing and Docker container orchestration, which improved deployment speed by 30% and increased pipeline reliability through error-checking mechanisms.- Deployed Puppet for configuration management, utilizing custom modules for automated server provisioning and reducing configuration errors across development and production environments through standardized configurations.- Orchestrated containerized applications on Amazon EKS, using Helm for application deployments and Prometheus for resource monitoring, which improved scalability and increased resource utilization efficiency.- Automated infrastructure provisioning with Terraform, creating modular scripts for AWS resources that reduced provisioning time and increased code reusability across multiple environments.- Implemented IaC using Terraform, with automated provisioning and environment-specific configurations for AWS, which standardized resource management and improved deployment consistency.- Developed and maintained Groovy scripts for Jenkins pipelines, automating infrastructure provisioning and deployment tasks.- Enhanced system health monitoring by configuring Instana and AppDynamics dashboards for CPU, memory, and application response times, improving issue detection and response through proactive alerting and analysis.- Improved system health monitoring by 30% with Instana and AppDynamics, enabling real-time issue detection and response.- Implemented RabbitMQ and Kafka messaging patterns, utilizing asynchronous communication for microservices, which boosted communication efficiency and reduced latency by optimizing message delivery and load balancing.- Migrated legacy applications to AWS using automated scripts for EC2, S3, VPC, and RDS provisioning, which enhanced scalability and reduced operational costs through resource optimization.- Deployed and managed AWS Network Load Balancers with configured health checks and failover strategies for TCP/UDP traffic, ensuring efficient distribution and high availability across multiple EC2 instances. BUILD AND RELEASE ENGINEER May 2016 - Apr 2018AppShark Software Hyderabad, India- Built CI/CD pipelines with Google Cloud Build, integrating services like Cloud Functions and Pub/Sub for automated deployments, which streamlined workflows and reduced manual tasks.- Enhanced collaboration with Slack-Google Cloud Build integration, improving team response time to build alerts.- Managed GitHub repositories by implementing branch protection rules, automated pull request checks, and code review guidelines, which ensured code quality and streamlined version control across the team.- Utilized Apache Maven and Gradle for optimized project builds, leveraging parallel builds and custom build profiles, which reduced build times and ensured consistency in deployment artifacts.- Automated artifact deployment by configuring JFrog Artifactory and Google Cloud Build pipelines and ensured version control consistency through artifact tagging and promotion workflows.- Conducted database management with optimized SQL queries, using indexing and query analysis tools, which improved data retrieval times.- Streamlined configuration management with Ansible playbooks, using roles for consistent environment setup.- Implemented Docker for containerization, and orchestrated applications using Kubernetes on Google Kubernetes Engine(GKE).- Deployed GCP infrastructure with modular Terraform templates, using parameterized variables for flexibility, which reduced setup inconsistencies and promoted reusability across projects through standardized code modules.- Developed Bash scripts for automation of routine tasks, such as log management and system monitoring.- Automated tasks with Python scripting, improving operational efficiency by 40% and reducing manual workload.- Configured Grafana and Prometheus dashboards for real-time monitoring of CPU, memory, and network usage, which reduced mean time to detect issues through proactive alerts and visualized performance metrics. SKILLS- Cloud Platforms: AWS, Azure, and GCP are all included.- Infrastructure as Code: Terraform, CloudFormation, ARM templates, and Google Cloud Deployment Manager are covered.- CI/CD & Automation: Comprehensive coverage with Jenkins, AWS CodePipeline, Azure DevOps, GitLab CI/CD, Google Cloud Build, and other build tools like Maven and Gradle.- Containerization & Orchestration: Docker, Kubernetes, OpenShift, and related tools like Helm, Docker Compose, and EKS/GKE.- Configuration Management: Ansible, Puppet, and Chef are included.- Version Control: Git, GitHub, Bitbucket, and GitLab.- Scripting & Programming: Python, Bash, PowerShell, Groovy, YAML, and JSON are all listed.- Monitoring & Logging: Tools like Prometheus, Grafana, Splunk, Datadog, and others such as AppDynamics, Instana, and New Relic.- Networking & Security: Covers TCP/IP, DNS, Firewalls, LDAP, Active Directory, and secrets management tools like HashiCorp Vault and Azure Key Vault.- Databases: MySQL, PostgreSQL, and Oracle.- Other Tools: Includes JFrog Artifactory, Nexus, Apache, Tomcat, Nginx, ServiceNow, Jira, and OS details (Linux, Red Hat, Ubuntu).EDUCATIONMASTERS Sep 2022 - Dec 2023New Jersey Institute of Technology Newark, New Jersey Engineering managementBACHELORS Jun 2012 - May 2016Jawaharlal Nehru Technological University Hyderabad Hyderabad, India Computer Science |
