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Click here or scroll down to respond to this candidateCandidate's Name
AWS/Azure/DevOpsEngineerhttps://LINKEDIN LINK AVAILABLEEMAIL AVAILABLE PHONE NUMBER AVAILABLEPROFESSIONAL SUMMARY Seasoned DevOps Engineer with 7 years of hands-on experience in designing, implementing, and maintaining robust cloud infrastructure and CI/CD pipelines. Proficient in both AWS and Azure cloud platforms In-depth knowledge as a DevOps Engineer in the Software Industry with experience in production designing Build process, Software Product Development, Process Automation, Build and Deployment Automation, Release Management, Agile Methodologies & Environment management. Well Versed in building and deploying applications onto different environments such as QA, UAT, and Productions by developing utilities in Shell and Python scripting Creation of infrastructure in AWS & Azure using Infrastructure as Code with the help of Terraform Scripts. Competent extent of skills in DevOps essential tools like Git, Bit Bucket, Jenkins, Maven, Docker, Terraform, and Ansible. Experience working on Azure Active Directory deployment, Azure AD Domain Services, Azure Active Directory(Migration- on-premises and Azure IaaS), Azure Infrastructure, Virtual machines, Virtual Networks, Network Security Group, Load Balancer, Traffic Manager, Route Tables, Storage accounts, Recovery Services Vaults, Key Vault, Azure Backup, Azure Monitoring Log Analytics, Alerts, Metrics, Azure Management/Governance, Policy, Blueprints, Management Groups, Azure Automation, Dataflow, Azure DevOps, Deploying Azure infrastructure as code and ARM Terraform templates. Set up CI/CD pipelines with Jenkins and hands-on experience in building freestyle projects, pipelines, and multi-branch pipeline Jobs through Jenkins file. Defined dependencies and plugins in Maven pom.xml for various activities and integrated Maven with GIT to manage and deploy project-related tags. Authorized pom.xml and build.xml files performing releases with the Maven, ANT release plugin, and managing artifacts, performed .Net build. Experience with containerization using Docker, generation of Docker images from Docker files, and pushing those images to private registries. Well experienced in using Kubernetes and Docker for the runtime environment for the CI/CD system to build, test, and deploy. Implemented secret encrypted values for the keys that are used to ingest data in Azure Data Factory using Key Vault, ensuring robust data protection and compliance in Cloud. I ingested data into Azure Blob Storage from a range of sources, including websites, apps, and on-premises systems, to enhance data management and provide efficient archiving and retrieval for processing and postprocessing analytics. Expertise in integrating Azure Storage with other Azure services, including Azure Functions, and Azure Logic Apps in using Azure Storage Explorer for managing and monitoring storage accounts and containers. Orchestrated and migrated CI/CD processes using Cloud Formation and Terraform Templates and Containerized the infrastructure using Docker, which was set up in Azure & AWS and VPCs. Profound experience in Configuring and management of cloud infrastructure using Azure which includes virtual machine, App service & AKS, Amazon Web Services (AWS) including EC2, Auto Scaling, EBS, Elastic Beanstalk, S3, VPC, Elastic Load Balancer, Cloud Watch, Cloud Formation, SNS, IAM, and SES Management of Azure & AWS storage infrastructure systems and configuring cloud platforms such as virtual network multi-site, cross-site, VMs, AWS Active Directory, Elastic Load Balancers Experience in using Tomcat, and IIS Application servers for deployments. Technical Skills:Operating Systems Linux, Windows, Unix, Rhel, CentOS, Ubuntu Programming Languages Ppython, Java, .Net, rubyDatabases MySQL, MongoDB, OracleArtifactory Repositories ACR, ECR, Artifactory, Nexus, Jfrog CM Tools Ansible, TerraformWeb/Application Servers Tomcat, IISBuild Tools Maven, Ant, BambooCI Tools Azure DevOps Pipelines, AWS DevOps Code Pipeline, Jenkins, GitHub Actions Automation container Docker, Kubernetes.SCM Tools Bitbucket, Azure Repos and Gitlab, GitHub Bug Reporting Tools JIRASystem Monitoring Tools CloudWatch, Prometheus and Grafana, Log Analytics workspace Methodologies Agile/Scrum, WaterfallCloudAmazon Web Services: EC2, ECS, S3, ELB, Autoscaling, KMS, Elastic Beanstalk, VPC, Route 53, Cloud trail, Lambda.Azure: VM, Blob Storage, VMSS, App Service, ACR, AKS, ADLS, ADF Certifications: Certified AWS Solution Architect Associate Certified Microsoft Azure AdministratorWork Experience:Role: Cloud Operations Engineer Duration: Oct 2021 Dec 2022 Client: HSF (Herbert Smith Freehills) Responsibilities: Automated Build and Deployment process Continuous Integration and Continuous Deployment of applications into different environments like Dev, QA, stage, and Production. Evaluated Kubernetes for Docker container orchestration. Managed Kubernetes charts using Helm and created reproducible builds of the Kubernetes applications. Strong knowledge/experience in creating CI/CD pipelines With Git/SVN, Jenkins, Maven, NEXUS, and Docker on AWS RedHat Enterprise AMI and in automating deployment pipelines. Created new Azure Virtual Networks (VNets), subnets, azure network settings, AKS, DHCP address blocks, DNS settings, security policies, and routing using terraform automated scripts. Creating VMs install required software components on them like private DNS zone and private endpoints. Experience in creating Azure load balancers internally and public Azure applications gateway with WAF rules. Experience in Designing and configuring Azure Virtual Networks (VNets), subnets, azure network settings, AKS, DHCP address blocks, DNS settings, security policies, and routing. Setting up the tools and implementing new DevOps technologies for leveraging the infrastructure. Architect secure, reusable, and highly available + scalable DevOps Cloud infrastructure and code pipelines. Configured and managed environments DEV, QA, UAT and PROD on OpenStack for various releases and designed instance strategies. Worked with Terraform for automating VPC's, ELB's, security group's, SQS queues, S3 buckets, and continuing to replace the rest of our infrastructure. Worked on producing lean and well-written technical project documentation and operational runbooks. Architect reusable and agile pipelines, automated to enable developer independence. Worked on ensuring capacity management of specific computing platforms, network engineering, and storage management is established.Environment: Linux, Windows, AWS, Azure, Git, Jenkins Role: DevOps Engineer Duration: Nov 2020 Oct 2021 Client: AmgenResponsibilities: Automated Build and Deployment process Continuous Integration and Continuous Deployment of applications onto different environments like Dev, QA, test, and Production. Implemented Continuous Integration and Delivery framework using GitHub, Maven, Jenkins, Artifactory, and Ansible. Worked closely with clients to understand business requirements Created data migration/system integration strategies and worked on various data ingestion pipelines including batch, event, API & real time streaming Implemented CI/CD framework to create data pipelines Adopting best agile practices for code development Monitor system and resolve problems during code deployment I have been involved in creating projects, clusters and databases in EDL (Databricks) environment. I have been Involved in Creating the ETL (data bricks) job. Creating ETL mapping document for data movement from source to target. Implemented CI/CD pipeline in Jenkins using Jenkins files and Jenkins master-slave architecture. Hands-on experience in Backup and restoring Azure services and in designing and configuring Azure Virtual Networks (VNets), subnets, azure network settings, AKS, DHCP address blocks, DNS settings, security policies, and routing. Azure cloud services, Blob storage, Active Directory, Azure Service Bus. Having good exposure in Azure Cloud Services, Azure Synapse Analytics, SQL Azure, Data Factory, Azure Analysis Services, Application Insights, Azure Monitoring, Key Vault, and Azure Data Lake. Develop and maintain data pipelines using Azure Data Factory and Azure Databricks. Environment: Azure Databricks, Data Factory, AWS, Azure, ETL Role: Software Engineer Duration: Sep2019-Oct2020Client: ExperianResponsibilities: Generated AWS Multi-Factor Authentication (MFA) for instance SSH login, worked with teams to lock down security groups, and created IAM roles so AWS resources can securely interact with other AWS. Created Python scripts to automate AWS Services which includes ELB, Cloud front, Lambda, database security, and application configuration also Developed them to take backup of EBS volumes using AWS Lambda, and CloudWatch. Written Terraform modules for automating the creation of VPCs and AWS EC2 Instances, modules for the creation of VPC and VPN connection from the Data Center to the production environment, and cross-account VPC peering. Implemented continuous delivery pipeline involving Jenkins, and Ansible to complete the automation from commit to deployment. Migrated existing ANT build system to Maven for some applications. Handling Jenkins-related activities such as creating new users with the right privileges, configuring the new builds, adding/deleting Jenkins slaves, and resolving any Jenkins-related issues Setting up continuous integration and formal builds using Bamboo with the Artifactory repository and Resolved update, merge, and password authentication issues in Bamboo and JIRA. Monitoring Jenkins Jobs and contacting the team if progress is not evident on fixing stability issues. Developed and implemented Software Release Management strategies for various applications according to the Agile process. Good working knowledge of NoSQL databases such as MongoDB and Cassandra. Worked with Development and QA teams to continuously integrate software development using Maven, GIT, and Jenkins. Implemented AWS Lambda functions to run scripts in response to events in Amazon Dynamo DB table or S3 bucket or to HTTP requests using Amazon API Gateway. Developed a comprehensive Disaster Recovery (DR) plan for cloud services, ensuring business continuity in case of unforeseen events. Creating Cloud Formation scripts for hosting software on AWS Cloud and automating the installation of software Developed Dev/Test/Prod environments of different applications on AWS by provisioning Kubernetes clusters on EC2 instances using Docker, Bash, Chef, and Terraform. Environment: AWS, Git, Maven, Jenkins, ANT, CloudFormation, Jira CI/CD. Role: Software Engineer. Duration: Jan 2019 Aug2019 Client: Girmiti software Pvt Ltd Responsibilities: Planned, deployed, monitored, and maintained Amazon AWS cloud infrastructure consisting of multiple EC2 nodes required in the environment and worked on application deployment and data migration on AWS. Involved in designing and deploying a multitude of applications utilizing almost all the AWS stack (Including EC2, S3, RDS, EBS, ELB, and IAM) focusing on high availability, fault tolerance, and auto-scaling in AWS Cloud formation. Involved in the improvement of CI/CD (Continuous Integration /Continuous Delivery) Software Release Management strategies for various applications. Developed and implemented Software Release Management strategies for various applications according to the agile process. Hands-on experience with EC2, ECS, ELB, EBS, S3, VPC, IAM, SQS, RDS, Lambda, Cloud Watch, Storage Gateway, Cloud formation, Elastic Beanstalk and Autoscaling. Managing GIT version control system in creating branches, tags, merging, resolving conflicts Used the continuous integration tool Jenkins to automate the daily processes. Installed Jenkins/Plugins for GIT Repository, Setup SCM Polling for Immediate Build with Maven and Maven Repository (Nexus, Artifactory), and Deployed the EARs and WARs in TOMCAT Application server using ANT script as a CI/CD Process. Configured and managed environments DEV, QA, UAT, and PROD on OpenStack for various releases and designed instance strategies. Worked with Terraform to automate VPCs, ELBs, security groups, SQS queues, and S3 buckets, and continue to replace the rest of our infrastructure.Environment: SCM, Jenkins on UNIX/Linux, GIT Repositories, MAVEN, artifacts Role: Linux/Cloud Admin. Duration: Jan 2016 Oct201 Client: Ali Groups Responsibilities: Providing L2 support for Linux and cloud. Configured and managed Linux File System management. Experience in Implementation of Logical Volume management. Troubleshooting performance issues on Linux Servers. Configure the production and non-production monitors based on client requirements. Coordinating with Level 1/2 monitoring and security Teams to ensure system uptime, performance, and security. Responsible for complete server infrastructure management, support, and single point of contact, servers include Linux and Windows. Worked in storage blobs and containers for the file system. Adding the disk, extending the disk size, and mounting inside the VMs (Windows & Linux). Creating a backup rule and restoring the VMs and managing the V-Net peering and subnets. Part of a drill activity for restoring the production servers. Configuring Load blancher and Auto Scaling group. Managed AWS Cloud infrastructure and Managed 120+ Linux instances over AWS Cloud. Environment: Linux, AWSEducationMasters: Masters in information technology and management, USA. Bachelors: Mechanical Engineering, India |
