Summary
Overview
Work History
Education
Skills
Certification
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RUCHITHA SANGAM

Summary

Certified Cloud DevOps Engineer with 10+ years of IT professional experience in all the areas of Software development life cycle which are Included but not limited to automation, Implementation of CI/CD, System Administration, Cloud computing, Software Configuration Management (SCM), Containerization, orchestration, Scripting for various environments. Proficient in monitoring and troubleshooting OpenShift environments, utilizing built-in monitoring tools and logging mechanisms to identify and resolve performance issues and ensure optimal application performance. Experience in working with a wide range of Amazon Web Services (AWS) cloud services, including Autoscaling, AWS Storage, EC2, ELB, EBS, VPC, CloudFormation, Security Groups, ACL, Route 53, RDS, S3, IAM, and CloudWatch. Hands-on Experience Administering Microsoft Azure Services like Azure App Services, Azure SQL Database, Azure Active Directory, Azure DataBricks, Azure Blob storage, Azure Functions, Virtual machines, Azure Fabric controller, Azure Data Factory, Azure web applications, Azure Service Bus, and Notification hub. Experience in designing Azure Resource Manager (ARM) Template to deploy multiple resources as well as in designing custom build steps using PowerShell and Developed PowerShell scripts and ARM templates to automate the provisioning and deployment process. Led the design and implementation of Ansible Tower to automate infrastructure provisioning, configuration management, and application deployments. Designed and implemented scalable and secure Kafka clusters for real-time data processing and event-driven architectures. Utilized SageMaker's automated model tuning and hyperparameter optimization features to improve model performance. Used SageMaker's model explainability and interpretability features to gain insights into model behavior and improve transparency Experienced in practical application of the GitOps methodology with Argo CD and integrated Git as the single source of truth for application configurations and utilized Argo CD to reconcile the desired state of applications with the state in the Git repository. Created infrastructure as code using Terraform which includes defining the infrastructure components, modules, and dependencies needed to create a complete environment. Managed Kubernetes using Helm charts. Created reproducible builds of the Kubernetes applications, templatize Kubernetes manifests, and provided a set of configuration parameters to customize the deployment and managed releases of Helm packages. Strong understanding of TCP/IP and its role in facilitating communication on the internet. Experience with DNS and its role in resolving domain names to IP addresses. Expertise lies in Microsoft Azure Integration, including Azure API Management, Azure LogicApp, Web API, Azure Functions, Service Bus, Event Grid, Event Hub, and Azure Kubernetes Service on Azure. Knowledge of the features and benefits of each VM SKU series, including the Compute, memory, and storage capabilities ,Networking and storage performance and also Cost and pricing considerations. Containerized Java, .NET and Python Applications by writing Dockerfiles and setting up containers in JFrog Artifactory and running containers in AKS and EKS. Well versed in using Azure Infrastructure as a Service (IaaS), Provisioning VMs, Virtual Networks, Deploying Web Apps, Microsoft SQL Server, using ARM Templates, and Azure DevOps CI/CD pipelines. Expertise in configuring the Monitoring and Alerting tools according to the requirements like Prometheus and Grafana, setting up alerts, and deploying multiple dashboards for individual applications in Kubernetes. Developed and deployed Kafka producers and consumers using Python and Apache Spark, ensuring data integrity and encryption. Hands-on experience in developing complex models in Deep Learning for Computer Vision using TensorFlow on cloud infrastructure. Proficient in creating, developing, and testing environments for different applications by provisioning Kubernetes clusters on AWS using Docker, Ansible, and Terraform. Strong proficiency in Azure AD and Azure AD Connect and extensive experience with Exchange administration and management. Collaborated with development teams to integrate OpenStack with Continuous Integration/Continuous Deployment (CI/CD) pipelines, leveraging heat for infrastructure as code. Worked with OpenShift On-Prem Private Cloud Clusters deploying containers and setting up using OC CLI. Experience with developing .NET applications using Azure-based services such as Azure Functions, Azure App Service, and Azure Kubernetes Service (AKS). Implemented Redis clustering and sharding to achieve horizontal scaling and high availability. Developed Redis-based solutions for caching, leaderboards, and real-time data processing. Expertise in various aspects of Jenkins, including Plugin Management, Securing Jenkins, Performance Optimization, Analytics, Scaling Jenkins, and integrating Code Analysis and Test Phases within Jenkins for complete CI/CD pipelines. Hands-on experience in developing and maintaining CI/CD pipelines using Jenkins and AWS cloud-native services such as CodeCommit, CodeBuild, CodePipeline, and CodeDeploy. Proficient in setting up Kubernetes (k8s) clusters for running microservices and automating Kubernetes cluster management using Ansible playbooks. Developed and maintained large-scale GoLang projects, leveraging its concurrency features to handle high volumes of concurrent requests. Proficient in version control tools like Git, Subversion (SVN), and TFS, and experienced in branching, tagging, and maintaining versions across different platforms and SCM client tools like GitLab, GitHub, and Bitbucket. Skilled in scripting using Python, Ruby, and Shell Scripts for configuration management and maintaining enterprise applications. Well-versed in using JIRA, Bugzilla and ServiceNow for ticketing and defect tracking, configuring workflows, customizations, and integrating Jenkins with JIRA, GitHub, and Maven. Worked on Production Support Troubleshooting Infra and Application Issues and monitor Application Performance Metrics using ELK Stack, Dynatrace.

Overview

1
1
Certification

Work History

Sr. Cloud DevOps Engineer

  • Certified Cloud DevOps Engineer with 10+ years of IT professional experience in all the areas of Software development life cycle which are Included but not limited to automation, Implementation of CI/CD, System Administration, Cloud computing, Software Configuration Management (SCM), Containerization, orchestration, Scripting for various environments.

  • Proficient in monitoring and troubleshooting OpenShift environments, utilizing built-in monitoring tools and logging mechanisms to identify and resolve performance issues and ensure optimal application performance.

  • Experience in working with a wide range of Amazon Web Services (AWS) cloud services, including Autoscaling, AWS Storage, EC2, ELB, EBS, VPC, CloudFormation, Security Groups, ACL, Route 53, RDS, S3, IAM, and CloudWatch.

  • Hands-on Experience Administering Microsoft Azure Services like Azure App Services, Azure SQL Database, Azure Active Directory, Azure DataBricks, Azure Blob storage, Azure Functions, Virtual machines, Azure Fabric controller, Azure Data Factory, Azure web applications, Azure Service Bus, and Notification hub.

  • Experience in designing Azure Resource Manager (ARM) Template to deploy multiple resources as well as in designing custom build steps using PowerShell and Developed PowerShell scripts and ARM templates to automate the provisioning and deployment process.

  • Led the design and implementation of Ansible Tower to automate infrastructure provisioning, configuration management, and application deployments.

  • Designed and implemented scalable and secure Kafka clusters for real-time data processing and event-driven architectures.

  • Utilized SageMaker's automated model tuning and hyperparameter optimization features to improve model performance.

  • Used SageMaker's model explainability and interpretability features to gain insights into model behavior and improve transparency

  • Experienced in practical application of the GitOps methodology with Argo CD and integrated Git as the single source of truth for application configurations and utilized Argo CD to reconcile the desired state of applications with the state in the Git repository.

  • Created infrastructure as code using Terraform which includes defining the infrastructure components, modules, and dependencies needed to create a complete environment.

  • Managed Kubernetes using Helm charts
  • Created reproducible builds of the Kubernetes applications, templatize Kubernetes manifests, and provided a set of configuration parameters to customize the deployment and managed releases of Helm packages.

  • Strong understanding of TCP/IP and its role in facilitating communication on the internet.

  • Experience with DNS and its role in resolving domain names to IP addresses.

  • Expertise lies in Microsoft Azure Integration, including Azure API Management, Azure LogicApp, Web API, Azure Functions, Service Bus, Event Grid, Event Hub, and Azure Kubernetes Service on Azure.

  • Knowledge of the features and benefits of each VM SKU series, including the Compute, memory, and storage capabilities ,Networking and storage performance and also Cost and pricing considerations.

  • Containerized Java, .NET and Python Applications by writing Dockerfiles and setting up containers in JFrog Artifactory and running containers in AKS and EKS.

  • Well versed in using Azure Infrastructure as a Service (IaaS), Provisioning VMs, Virtual Networks, Deploying Web Apps, Microsoft SQL Server, using ARM Templates, and Azure DevOps CI/CD pipelines.

  • Expertise in configuring the Monitoring and Alerting tools according to the requirements like Prometheus and Grafana, setting up alerts, and deploying multiple dashboards for individual applications in Kubernetes.

  • Developed and deployed Kafka producers and consumers using Python and Apache Spark, ensuring data integrity and encryption.

  • Hands-on experience in developing complex models in Deep Learning for Computer Vision using TensorFlow on cloud infrastructure.

  • Proficient in creating, developing, and testing environments for different applications by provisioning Kubernetes clusters on AWS using Docker, Ansible, and Terraform.

  • Strong proficiency in Azure AD and Azure AD Connect and extensive experience with Exchange administration and management.

  • Collaborated with development teams to integrate OpenStack with Continuous Integration/Continuous Deployment (CI/CD) pipelines, leveraging heat for infrastructure as code.

  • Worked with OpenShift On-Prem Private Cloud Clusters deploying containers and setting up using OC CLI.

  • Experience with developing .NET applications using Azure-based services such as Azure Functions, Azure App Service, and Azure Kubernetes Service (AKS).

  • Implemented Redis clustering and sharding to achieve horizontal scaling and high availability.

  • Developed Redis-based solutions for caching, leaderboards, and real-time data processing.

  • Expertise in various aspects of Jenkins, including Plugin Management, Securing Jenkins, Performance Optimization, Analytics, Scaling Jenkins, and integrating Code Analysis and Test Phases within Jenkins for complete CI/CD pipelines.

  • Hands-on experience in developing and maintaining CI/CD pipelines using Jenkins and AWS cloud-native services such as CodeCommit, CodeBuild, CodePipeline, and CodeDeploy.

  • Proficient in setting up Kubernetes (k8s) clusters for running microservices and automating Kubernetes cluster management using Ansible playbooks.

  • Developed and maintained large-scale GoLang projects, leveraging its concurrency features to handle high volumes of concurrent requests.

  • Proficient in version control tools like Git, Subversion (SVN), and TFS, and experienced in branching, tagging, and maintaining versions across different platforms and SCM client tools like GitLab, GitHub, and Bitbucket.

  • Skilled in scripting using Python, Ruby, and Shell Scripts for configuration management and maintaining enterprise applications.

  • Well-versed in using JIRA, Bugzilla and ServiceNow for ticketing and defect tracking, configuring workflows, customizations, and integrating Jenkins with JIRA, GitHub, and Maven.

  • Worked on Production Support Troubleshooting Infra and Application Issues and monitor Application Performance Metrics using ELK Stack, Dynatrace.

  • Certified in Microsoft Azure Administrator Associate.

  • Certified in Kubernetes Administrator.

  • Certified Terraform Associate.

Education

Skills

  • Automation
  • Implementation of CI/CD
  • System Administration
  • Cloud computing
  • Software Configuration Management (SCM)
  • Containerization
  • Orchestration
  • Scripting
  • Amazon Web Services (AWS)
  • Autoscaling
  • AWS Storage
  • EC2
  • ELB
  • EBS
  • VPC
  • CloudFormation
  • Security Groups
  • ACL
  • Route 53
  • RDS
  • S3
  • IAM
  • CloudWatch
  • Microsoft Azure Services
  • Azure App Services
  • Azure SQL Database
  • Azure Active Directory
  • Azure DataBricks
  • Azure Blob storage
  • Azure Functions
  • Virtual machines
  • Azure Fabric controller
  • Azure Data Factory
  • Azure web applications
  • Azure Service Bus
  • Notification hub
  • Azure Resource Manager (ARM) Template
  • PowerShell
  • Ansible Tower
  • Kafka clusters
  • SageMaker
  • GitOps methodology
  • Argo CD
  • Terraform
  • Kubernetes
  • Helm charts
  • TCP/IP
  • DNS
  • Microsoft Azure Integration
  • Azure API Management
  • Azure LogicApp
  • Web API
  • Service Bus
  • Event Grid
  • Event Hub
  • Azure Kubernetes Service (AKS)
  • VM SKU series
  • Containerized Java, NET, and Python Applications
  • Azure Infrastructure as a Service (IaaS)
  • Azure DevOps CI/CD pipelines
  • Monitoring and Alerting tools (Prometheus, Grafana)
  • Kafka producers and consumers
  • Deep Learning for Computer Vision using TensorFlow
  • JIRA
  • Bugzilla
  • ServiceNow
  • ELK Stack
  • Dynatrace
  • Microsoft Azure Administrator Associate
  • Kubernetes Administrator
  • Terraform Associate

Certification

  • Certified in Microsoft Azure Administrator Associate
  • Certified in Kubernetes Administrator
  • Certified Terraform Associate

Timeline

Sr. Cloud DevOps Engineer

RUCHITHA SANGAM