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Click here or scroll down to respond to this candidateCandidate's Name
MOBILE: PHONE NUMBER AVAILABLEE-MAIL: EMAIL AVAILABLEPROFESSIONAL SUMMARY:Results-driven DevOps Engineer with over 5 years of experience delivering cloud-based solutions using AWS and Azure platforms, consistently achieving project milestones ahead of schedule.Expert in designing and managing CI/CD pipelines with AWS Code Pipeline and Azure DevOps, resulting in a 40% reduction in deployment times and a 50% increase in deployment frequency.Skilled in Infrastructure as Code (IaC) using AWS CloudFormation and Azure Resource Manager (ARM) templates, leading to a 30% reduction in deployment errors.Proficient in serverless architecture, utilizing AWS Lambda to develop scalable applications that handle over 1 million daily requests, optimizing costs by 20% and enhancing performance.Successfully migrated over 15 on-premises applications to AWS and Azure, minimizing downtime to less than 1% during transitions, ensuring seamless business continuity for critical operations.Implemented comprehensive monitoring and alerting solutions using AWS CloudWatch and Azure Monitor, resulting in a 25% increase in system availability and reducing incident response times by 30%.Automated deployment processes with AWS Elastic Beanstalk and Azure App Service, improving time-to-market by 50% and enabling teams to deliver high-quality features faster.Integrated robust security protocols with AWS IAM and Azure Active Directory, achieving compliance with industry standards and reducing security incidents by 15% through proactive risk management.Deployed and managed containerized applications using AWS ECS and Azure Kubernetes Service (AKS), enhancing scalability and resource utilization by 35%.Designed disaster recovery strategies with AWS Backup and Azure Site Recovery, ensuring data protection and minimizing potential data loss to less than 0.5% during critical outages.Developed custom monitoring dashboards leveraging AWS CloudWatch and Azure Log Analytics, providing real-time insights and enhancing decision-making processes, resulting in quicker response times to performance issues.Implemented API management solutions with AWS API Gateway and Azure API Management, ensuring secure and efficient API integration across applications, leading to a 40% improvement in API performance.Streamlined logging and compliance processes using AWS CloudTrail and Azure Monitor, improving audit readiness and reducing compliance costs by 20%.Collaborated effectively with cross-functional teams to establish DevOps best practices, leading to a 30% improvement in team productivity and project delivery timelines.Optimized application performance and content delivery using AWS CloudFront CDN and Azure Content Delivery Network, reducing latency by 25% and improving user satisfaction.Leveraged AWS DynamoDB and Azure Cosmos DB for high-performance, scalable database solutions, achieving a 99.99% uptime for critical applications and reducing latency by 30%.Managed secure networking configurations using AWS VPC and Azure Virtual Network, enhancing overall security posture and facilitating seamless connectivity.Executed performance tuning for AWS and Azure resources, leading to cost savings of up to 30% while maintaining optimal performance across all environments.Integrated AI-driven chatbots using AWS Lex and Azure Bot Service, improving customer engagement and support response times by 40%.Implemented event-driven architectures with AWS Event Bridge and Azure Event Grid, streamlining real-time data processing and application responsiveness.Maintained configuration management using AWS Systems Manager and Azure Automation, ensuring environment consistency and compliance across multiple projects.Conducted workshops and training sessions on cloud technologies and DevOps methodologies, fostering a culture of continuous learning and innovation, and enhancing team capabilities.Utilized Terraform for multi-cloud infrastructure management, ensuring scalability and resilience across AWS and Azure environments, which reduced provisioning times by 30%.Recognized for contributions to project success, consistently meeting project deadlines and enhancing overall team efficiency.Committed to continuous professional development, actively pursuing certifications and staying updated on the latest cloud technologies and DevOps practices.TECHNICAL SKILLS:Build ToolsMavenContinuous Integration ToolJenkinsVersion ControlGitConfiguration Management ToolAnsible, CloudFormationLanguages/ScriptingPython, JAVA, YAML, Shell Scripting, Bash, GroovyContainerization ToolDocker, KubernetesDatabasesMYSQL, MongoDBMonitoring ToolsSplunk, Cloud WatchCloudAWS, AzureOperating SystemLinux, WindowsInfrastructure as a codeTerraformWORK EXPERIENCE:Client Name: Tillman Fiber Co, New York November 2023 PresentRole: AWS DevOps EngineerResponsibilities:Hands-on experience in AWS provisioning and services like EC2, S3, Glacier, ELB, RDS, Redshift, IAM, Route 53, VPC, Auto Scaling, CloudFront, CloudWatch, CloudTrail, CloudFormation, and Security Groups.Managed IAM, creating new users, groups, roles, and policies for secure access control and defined identity providers.Strong focus on Docker containerization and Kubernetes for deploying, scaling, load-balancing, and managing Docker containers across multiple environments.Integrated CI/CD pipelines with Jenkins, GitLab, and Argo CD to automate Docker image building and deployment across Kubernetes clusters.Managed enterprise-level GitHub and GitLab repositories, including user access levels, log monitoring, resolving merge conflicts, and repository management.Deployed and monitored scalable infrastructure on AWS using CloudFormation and Auto Scaling for a variety of applications.Developed AWS IVR solutions integrated with backend databases and CRM systems, enabling real-time access to customer information and improving customer support workflows with AWS Connect and Lambda.Designed and managed Kafka Mirror Maker for cross-cluster data replication, ensuring fault tolerance and high availability.Automated configuration and policy management using Argo CD, streamlining deployments across Kubernetes clusters, and ensuring consistency.Implemented auto-scaling and performance monitoring tools using Prometheus and Grafana for Kafka Mirror Maker and AWS IVR systems to handle fluctuating loads and ensure high availability.Managed applications and services in Pivotal Cloud Foundry using CLI and Apps Manager.Experience with configuration management tools like Puppet, Chef, and Ansible for automating large-scale system deployments.Developed build and deployment scripts using Maven and automated processes via Jenkins for continuous integration and delivery (CI/CD).Migrated JIRA across environments and worked with JIRA database dumps.Designed and implemented chatbot interfaces using AWS Lex and extended their functionality through AWS Lambda and API Gateway.Designed disaster recovery strategies, ensuring minimal downtime and data loss with established KPIs and metrics for performance.Built and managed large-scale deployments of Ubuntu systems using Chef automation, writing custom recipes, tools, shell scripts, and monitoring checks.Environmental Tools: AWS (EC2, S3, Glacier, RDS, Redshift, ELB, IAM, Route 53, VPC, Auto Scaling, CloudFront, CloudWatch, CloudTrail, CloudFormation, Security Groups), Docker, Kubernetes, Argo CD, Jenkins, GitLab, GitHub, Terraform, Ansible, Puppet, Chef, Maven, Prometheus, Grafana, JIRA, Nagios, Bamboo, and Python.Client Name: Mercury Marine, Virginia September 2021 November 2023Role: Azure DevOps EngineerResponsibilities:Responsible for compiling source code using Maven and packaging it in distributable formats (JAR/WAR) and deploying in Tomcat & JBoss.Monitored daily builds using Jenkins as the continuous integration tool, with Nexus as the Artifactory Repository for build artifacts.Worked on Lens IDE to access Kubernetes (K8s) cluster dashboards, including pod shells, worker nodes, and events.Experience in real-time monitoring and alerting of applications deployed in AWS using CloudWatch, Nagios, and Splunk.Managed IAM by creating users, groups, defining roles, policies, and identity providers.Worked with Docker for environmental variables, configuration files, option types, strings, and integers.Provisioned environments using Docker.Experience maintaining and improving site performance and reliability as part of SRE (Site Reliability Engineering).Converted existing AWS infrastructure to Serverless Architecture using AWS Lambda and Kinesis, deployed via Terraform and CloudFormation templates.Integrated open-source tools into Azure DevOps pipelines to optimize CI/CD processes, using Docker, Kubernetes, and Jenkins.Integrated PowerShell scripts with Azure Resource Manager (ARM) templates for provisioning and configuring Azure infrastructure as code, promoting scalability and repeatability.Hands-on experience designing and implementing multi-tenant Kubernetes clusters using open ecosystem tools like nginx-ingress, Prometheus, and Kube2iam.Developed custom monitoring and reporting tools using JavaScript frameworks for improved observability.Implemented Infrastructure as Code (IaC) solutions using JavaScript, optimizing resource provisioning and cloud architecture management.Integrated Kafka Mirror Maker into CI/CD pipelines for automated deployment and configuration management.Implemented PowerShell scripts for monitoring and alerting in Azure DevOps, enabling proactive identification and resolution of system issues.Implemented high-availability and disaster recovery strategies for critical banking systems, including failover mechanisms, load balancing, and data replication.Enhanced security posture by implementing PowerShell scripts for automated compliance checks in Azure DevOps pipelines.Contributed to PowerShell modules for Azure DevOps extensions, extending platform functionality and enhancing productivity.Ensured data consistency and integrity in Kafka Mirror Maker using robust validation mechanisms during replication.Contributed to the open-source Graphite project with multiple Python-based patches to improve performance and failure modes.Conducted code reviews and implemented code quality standards for PowerShell scripts in Azure DevOps repositories.Collaborated with cross-functional teams to ensure alignment of DevOps initiatives with business objectives in the banking sector.Utilized Terraform and Ansible to automate the provisioning and configuration of infrastructure components supporting banking applications.Implemented and maintained automated deployment systems for banking applications to ensure rapid and reliable software updates.Managed monitoring and alerting systems using Prometheus, Grafana, and the ELK stack for identifying issues in banking applications and infrastructure proactively.Environmental Tools: AWS (EC2, S3, ELB, RDS, IAM, EBS, Auto Scaling, Security Groups, CloudFormation, CloudWatch), Azure (ARM Templates, Azure DevOps, Azure Resource Manager), Docker, Kubernetes, Jenkins, Git, Ansible, Terraform, Prometheus, Grafana, ELK Stack, Nexus, and PowerShell.Client Name: Carelon Global Solutions, Hyderabad (India) February 2019 August 2021Role: DevOps EngineerResponsibilities:Installed, configured, and managed Apache and Tomcat servers in test environments to support web applications.In-depth knowledge of Linux and Windows OS, including Windows registry, IIS, virtual directories, and Windows services.Created jobs for tagging and branching in version control systems to support efficient code management practices.Designed, configured, and deployed solutions on Microsoft Azure using ARM Templates, Azure PowerShell Module, and Azure CLI with a focus on high availability and auto-scaling.Worked in AWS cloud environments, automating configuration and deployment of instances with strong knowledge of EC2, CloudWatch, and S3.Created and managed users and permissions on Red Hat Linux, along with file system quotas for optimized system administration.Automated backups of ephemeral data stores to S3 buckets using AWS CLI and managed Lambda functions.Built and installed servers via Azure Resource Manager (ARM) templates or Azure Portal, automating infrastructure as code.Managed plugins, user roles, and created build/release pipelines in Jenkins for continuous integration and deployment.Strong knowledge of source control concepts, including branches, merges, and tags, to ensure efficient version control processes.Configured multiple Tomcat server instances for different teams, ensuring isolation and smooth deployments across environments.Integrated tools like Jenkins with version control systems for automation, ensuring seamless code versioning and deployment processes.Created and maintained cross-environment CI pipelines using VSTS (now Azure DevOps), enabling secure deployments to Azure Kubernetes Services (AKS) with YAML scripting.Managed AKS policies provided access to Azure resources, and developed workflows for governance, ensuring secure and smooth access control across teams.Developed ARM templates to deploy Azure resources via PowerShell and continuous integration using VSTS.Created and migrated on-premises application servers to AWS, ensuring smooth cloud adoption and operational continuity.Troubleshot and resolved errors in cloud environments, ensuring minimal downtime and optimized system performance.Designed and implemented AWS Security Groups to act as virtual firewalls, controlling inbound and outbound traffic for EC2 instances.Environmental Tools: AWS (EC2, S3, CloudWatch, Security Groups), Azure (ARM Templates, Azure DevOps, Azure CLI), Linux (Red Hat), Windows (IIS), Apache Tomcat, Jenkins, Git, Jira, Kubernetes, and Maven.EDUCATION:Gannon University - Erie, P.A (Masters)Narasaraopet Engineering College Narasaraopet, India (Bachelors) |
