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Click here or scroll down to respond to this candidate Candidate's Name
Sr. Cloud Engineer
Email: EMAIL AVAILABLE
Mobile: PHONE NUMBER AVAILABLE
CAREER OBJECTIVE:
8+ years of IT experience as Sr. Cloud Engineer, Azure DevOps Engineer, Cloud Infrastructure Engineer, Cloud Platform
Engineer, Linux system Administration in SCM, Build/Release Management with Continuous Integration & Continuous
Deployment/Delivery as an iterative process and Automation of infrastructure including end-to-end code configuration using
different tools, and cloud services like Azure, AWS, GCP, OpenShift, and PCF. (Pivotal Cloud Foundry)
PROFESSIONAL SUMMARY:
Proficient in Microsoft Azure, IAAS, SAAS and PAAS services such as Virtual Networks, Virtual Machines, Blob storage,
Azure Data Factory, Cloud Services, Resource Groups, Express Route, Traffic Manager, VPN, Load Balancing, Application
Gateways, Auto-Scaling, deploying Web Apps, monitoring by Azure Application Insights, and creating Web-Jobs.
Extensively worked with various Azure services like Web Roles, Worker Roles, Azure Websites, Caching, Azure SQL, Net
worker servicers, API Management, Active Directory (AD) services infrastructure in maintaining, and monitoring Azure
Active Directory (AAD) infrastructure incorporated with periodic auditing, troubleshooting and performance.
Hands-on experience in Designing, planning and implementation for existing on-prem applications to Azure Cloud.
Configured and deployed Azure Automation Scripts utilizing Azure stack (Compute, Web and Mobile, Blobs, ADF(Azure
Data Factory), Resource Groups, Azure Data Lake, HD Insight Clusters, Azure Data Factory, Cloud Services and ARM).
Implemented a CI/CD pipeline using Azure DevOps (VSTS, TFS) in both cloud and on-premises with GIT, MS Build, Docker,
Maven along with Jenkins plugins. Experience of utilizing Microsoft Azure which includes Creating PaaS builds, PaaS
deployments, Storage -Accounts, Queues, CDN, ARM templates, Azure Service Bus.
Implemented security controls and compliance checks by applying DevSecOps principles using Infrastructure as Code
(IaC) tools like Terraform, ensuring secure and compliant cloud deployments.
Experience in designing and deploying AWS Solutions using EC2, S3, VPC, Auto-Scaling, EBS, SNS, SQS, Route 53, Elastic
Load balancer (ELB), Auto scaling, Lambda, Elastic search, Container services ECS, Log stash, Kibana, Influx DB, Grafana.
Experience in maintaining Amazon Web Services and experience in Architecting Legacy Data Migration projects such as
Teradata to AWS Redshift, migration, Teradata to Snowflake Migration, AWS Cloud from on-premises.
Building/Maintaining Docker/ Kubernetes container clusters managed by Kubernetes Linux, Bash, GIT, Docker, on GCP.
Build servers using GCP, importing volumes, launching EC2, RDS, creating security groups, auto-scaling, load balancers
(ELBs) in the defined virtual private connection.
Experience in setting up and configuring ECS clusters and integrating them with other AWS services, such as Elastic Load
Balancing (ELB) and Auto Scaling. Also monitored Kubernetes clusters health by using Prometheus and Grafana.
Hands-on experience Integrating Office 365 with other cloud services, such as Amazon WorkDocs, to provide a seamless
and secure experience for users.
Utilized Golang to develop Infrastructure as Code solutions, enabling declarative and version-controlled infrastructure
provisioning on platforms like AWS, GCP, and Azure.
skilled in provisioning and managing EC2 instances to host application components that interact with Amazon Pinpoint.
Implemented Infrastructure as Code (IAC) principles using tools like Heat Orchestration Templates and Terraform to
define and deploy OpenStack resources.
Managed Kubernetes charts using Helm, Created reproducible builds of the Kubernetes applications, managed
Kubernetes manifest files and Managed releases of Helm packages.
Had very strong exposure using Ansible automation in replacing the different components of OpenShift like ECTD,
MASTER, APP, INFRA, Gluster.
Proficient in using Terraform and Ansible also migration of legacy and monolithic systems to Azure. By creating Ansible
Nodes we managed RHEL and Ubuntu virtual servers on Azure.
Hands on developing and executing PowerShell Scripts, Python and Shell Scripts to automate the deployments.
Developed and Managed Azure Automation runbooks and PowerShell scripts to automate the deployment and
configuration of Kafka clusters on Azure infrastructure, including virtual machines, networking, and storage resources.
Highly experience in Integrating ADFS with various identity providers such as Azure AD, LDAP, SAML, and OAuth
providers, enabling seamless authentication across diverse platforms.
Developed serverless applications using Python with AWS Lambda functions to respond to events, integrating with other
AWS services like API Gateway, S3, DynamoDB, and deployed serverless applications using AWS SAM, AWS Management
Console.
Maintained mechanisms to protect sensitive data stored and processed in Azure Databricks by maintaining compliance
standards using Azure Databricks' access controls, auditing capabilities, and integration with Azure Active Directory.
Integrated JIRA with CI/CD tools such as: Jenkins, GitLab CI/CD to track build and deployment progress, linking them to
specific issues or user stories.
Administered various flavors of Linux (RHEL, CentOS, Ubuntu, Solaris, Fedora) and worked on Logical Volume Manager
(LVM), Kickstart, Bonding, LAMP, and LDAP.
TECHNICAL SKILLS:
Cloud Azure, AWS, GCP
Configuration Management Tools CHEF, ANSIBLE, PUPPET
Build Tools ANT, MAVEN, GRADLE
Container Tools Docker, Kubernetes, OpenShift, AKS
Version Control Tools GIT, CVS, SVN, Bit Bucket, VSTS
Monitoring Tools Nagios, Datadog, Splunk, ELK, Cloud watch, Dynatrace
Scripting Bash/Shell, Perl, Python, PowerShell, Json, YAML,
Groovy,
Database My SQL, MS Access, Oracle 9i/10g/11g, DB2, NoSQL
(MongoDB, DynamoDB)
Application services WebLogic 9.x/10.x, WebSphere 6.x/7.x/8.x, JBOSS 4.1
Web Servers Apache HTTP, Nginx, Apache TOMCAT
Networking DNS, DHCP, SMTP, HTTP, SNMP
IDE Tools ECLIPSE IDE, NETBEANS
Operating Systems Windows2008/2012/2016 R2, Linux (RedHat 7/6,
CENTOS 7/6& SUSE), Ubuntu
Virtualization Tech VMware vSphere, ESXi 5.x/4.x, ESX /3.x VMware Workstation,
Oracle Virtual box
CI/CD Tools Jenkins, Hudson, Bamboo, Azure DevOps
Experience: April 2023 Till date
San Diego Gas & Electric - USA: Sr. Cloud Engineer
Responsibilities:
Extensively worked with Azure Blob Storage for efficient storage, retrieval, and management of documents. Also
configured and maintained the Azure monitoring tools and services, such as Azure Monitor, Azure Log Analytics,
Application Insights, Azure Security Center, Azure API Management for monitoring and managing.
Configured and managed routing tables in Azure Virtual Networks to ensure efficient traffic routing between
OpenText Services and Azure resources.
Developed custom solutions and applications within the Azure environment to enhance document management
capabilities, leveraging Azure services like Blob Storage and Azure Virtual Machines for storage and processing.
Leveraged Azure SDKs, API Gateway to authenticate and authorize access to Azure Blob Storage for storing the PDFs.
Configured the Kubernetes with Terraform to interact with resources supported by Kubernetes to create several
services such as Deployments, services, Ingress rules, Config Map, secrets etc., in different Namespaces.
Designed and enforced Ingress / Egress rules within Azure Network Security Groups (NSGs) and Azure Virtual
Network Access Control Lists (ACLs) to regulate network traffic flow and ensured secure communication between
OpenText and Azure services.
Designed and implemented a robust integration between OpenText Cloud Services (OTCS) and Azure services,
utilizing Postman, Azure Functions and Azure API Management for seamless data transfer and synchronization.
Utilized Azure SDKs and APIs to authenticate and authorize access to the designated Azure Blob Storage container
for storing the PDFs, Implemented encryption mechanisms to safeguard the PDFs within the Azure Blob Storage.
Set up Azure Active Directory (Azure AD) roles and policies to grant specific permissions to the application or script
for interacting with the Azure Blob Storage container.
Expertise in developing a custom Azure Resource Manager (ARM) template specifically designed to create and
manage security groups for Azure Functions within Azure.
Created API requests using tools like Postman to test and validate interactions between OpenText Cloud Services
(OTCS) and Azure services.
Expertise in writing custom modules or functions in Python to trigger Azure function to make Rest API calls.
Designed, Implemented and Automated cloud infrastructure deployment, configuration, and scaling with PowerShell
and cloud provider APIs by developing PowerShell scripts to monitor and optimize usage, cost, and performance.
Developed a custom Terraform module tailored for Azure to provision and manage Network Security Groups (NSGs)
for Azure Functions.
Proficient in integrating Azure services with other Cloud Platforms, utilizing Azure Data Factory, Logic Apps, Azure
Functions, and REST APIs to ensure smooth data flow and automate processes effectively.
Deployed and managed AKS clusters (Azure Kubernetes Service), using Azure Portal, Azure CLI, Azure PowerShell,
and worked using Infrastructure as Code (IaC) tools like Terraform, ARM templates to configure cluster settings such
as node sizes, node counts, networking, and authentication.
Managed Release Management and Deployments of the Solutions to the DEV, QA & PROD Environments leveraging
Azure DevOps, AKS (Azure Kubernetes Service), Application Insights, Log Analytics.
Ensured modularity and reusability of the ARM template code by encapsulating Azure Functions security group
provisioning logic within the newly created template.
Utilized Azure Data Factory's built-in connectors and integration with Azure services to ingest data from Azure Blob
Storage, Azure SQL Database, Azure Data Lake Storage.
Designed implemented and maintained Continuous Integration/Continuous Deployment (CI/CD) pipelines for
deploying applications to AKS, automating build, test, and deployment processes.
Integrated Terraform with Azure Key Vault by referencing secrets stored in Key Vault directly within Terraform
configuration and provisioned Azure Monitor resources such as alerts, action groups, and diagnostic settings.
Designed and Implemented network security groups like, Azure AD roles, and other networking settings in Terraform
configuration to ensure secure communication between Azure Virtual Machines.
Utilized Terraform CLI and Terraform Azure DevOps tasks to apply Terraform configurations during Continuous
Integration/Continuous Deployment (CI/CD) processes, in Azure DevOps pipelines to trigger Terraform executions
based on code changes or predefined triggers.
Leveraged Azure Key Vault to store and manage variables, API keys, required for the ARM deployment process and
written ARM templates to create the Azure Function, Blob Storage container, variables in the Dev environment.
Experience: September 2021 April 2023
OCC Chicago - USA: Sr. Azure DevOps Engineer
Responsibilities:
Designed and configured Azure Virtual Networks, Subnets, Azure Network settings, DHCP address blocks, DNS
settings, Security Policies and Routing.
Configured Azure Multi-Factor Authentication as a part of Azure AD to securely authenticate users and worked on
Azure VPN-Point to Site, Azure Virtual networks, Azure Custom security, endpoint security and firewall.
Involved in working with Azure Functions where I had created and configured HTTP Triggers in the Azure Functions
with Application insights for and performing the load testing on the Applications using Azure DevOps.
Created Azure Automation Assets, Graphical Runbooks, PowerShell runbooks that will automate specific tasks,
deployed Azure AD Connect, configuring ADFS authentication flow, ADFS installation using Azure AD Connect.
Migrated version control repositories such as Git and TFVC (Team foundation Version control) from TFS (Team
foundation Server) to Azure DevOps, preserving commit history and branches.
Configured Azure DevOps pipeline using ARM templates and PowerShell to deploy several azure services like Azure
app service, Azure key vault, storage etc. and experienced on using Azure Boards, Azure Repos and creating YAML
pipelines.
Expertise in setting up monitoring solutions Azure Monitor, Prometheus and logging mechanisms for Azure Log
Analytics to track the performance of AKS (Azure Kubernetes Service) clusters and applications.
Implemented security best practices for (Azure Kubernetes Clusters) AKS clusters, including role-based access control
(RBAC), Azure Active Directory integration, pod security policies, and network security configurations.
Experience in designing, configuring, and deploying solutions on Microsoft Azure using (Azure Resource Manager)
ARM Templates, AZURE PowerShell Module and, Azure CLI focusing on high-availability and auto-scaling.
Set up monitoring solutions for Nagios, Splunk, Prometheus and centralized logging of ELK stack to track the health
and performance of OpenStack resources.
Expertise in building CI/CD pipelines with (Azure Kubernetes Clusters) AKS, which deployed my applications
automatically to a Kubernetes cluster.
Configured diagnostics, and analytics on Azure using API Management, Logic Apps and set up documentation
using Swagger API, while focusing on scale and resilience for Azure Web Apps.
Implemented Terraform Templates automating Azure IAAS VM's using terraform modules and deployed virtual
machine scale sets in production environment.
Utilized Terraform to define, deploy the infrastructure components required for AI and ML platforms, such as virtual
machines, storage accounts, virtual networks, and managed Kubernetes clusters such as Azure Kubernetes Service.
Designed deployed and configured Shell scripts to provision and configure Azure Synapse environments, including
setting up necessary infrastructure and deploying configurations.
Experienced with deploying Kafka clusters in a highly available and fault-tolerant configuration, such as using Azure
Availability Zones and Azure Kubernetes Service (AKS) to manage Kafka on Kubernetes.
Expertise in writing reusable IAC code libraries using Terraform for IaaS, PaaS and SaaS services in Azure cloud,
maintained cloud formation scripts through Terraform and transformed as an enterprise level infrastructure
automation tool.
Expertized in developing and implementing container orchestration strategies including integration with other tools
like Kubernetes and Docker Swarm. Automated the infrastructure using Terraform and making it auditable by storing
all the infrastructure changes in a version control system like GIT.
Designed deployed and configured Active Directory Federation Services (ADFS) for secure authentication and single
sign-on (SSO) capabilities across applications and services.
Deployed connection from Azure to On-premises datacenter using Azure ExpressRoute through ARM template (Azure
Resource Manager) and Jenkins release pipeline for Single and Multi-subscription connectivity.
Expertized in configuring Azure DevOps organization, projects, repositories, pipelines, and other necessary
components to mirror the existing TFS (Team foundation Server) structure.
Utilized Azure Synapse pipelines, data flows, and Spark to transform raw data into meaningful insights.
Designed and managed branching and merging code changes, conducting code reviews, and ensuring code quality and
consistency within Agile iterations by leveraging Azure Repos for version control and collaboration on codebases using
Git and Team Foundation Version Control (TFVC).
Designed and implemented ETL workflows using Azure services such as Azure Data Factory, Azure Databricks, Azure
Functions to extract data, transform it according to business requirements, and load it into target data stores.
Developed Ansible playbooks, custom playbooks in YAML, and encrypted the data using Ansible Vault and maintained
RBAC using Ansible Tower to run tasks in a sequence which can work on different servers.
Collaborated with compliance and audit teams to ensure that DevSecOps practices align with industry standards and
regulatory requirements, emerging security threats, vulnerabilities, and industry best practices to continuously
enhance the DevSecOps program.
Experience with installation and configuration of Docker environment including Docker registry hub for managing
different Docker images and deployment of applications inside the software containers.
Integrated with Azure Key Vault for secure storage and management of sensitive information such as encryption keys
and credentials used by JFrog Artifactory.
Experience: July 2019 - August 2021
Morgan Stanley Atlanta - USA: Azure Infrastructure Engineer
Responsibilities:
Worked on various Azure services like Compute (Web Roles, Worker Roles), Azure Websites, Caching, SQL Azure
NoSQL, Storage, Network services, Azure Active Directory, API Management, Scheduling, Auto Scaling, and
PowerShell Automation.
Configured Azure Virtual Networks, subnets, DHCP address blocks, Azure network settings, DNS settings, security
policies and routing, deployed Azure IaaS Virtual Machines and PaaS role instances into secure Virtual Networks and
subnet.
Designed & Implemented Proof of Concepts POCs for migrating the on-premises applications, Physical Servers to
Azure IaaS & PaaS services like IaaS VMs, PaaS VMs, Azure SQL, Azure SQL Data warehouse, Azure Storage, Azure
Service Fabric Cluster, Azure Data Lake, Hadoop HDI Cluster etc.
Expertise in working on AWS to Azure migration, JIRA to Azure DevOps Migration, GitHub to Azure DevOps Migration
along with Experience in configuring and using PaaS offerings (like Azure Database services, Azure Kubernetes, Azure
Containers, DNS, Application gateway).
Designed, implemented and managed the AKS clusters with other Azure services such as Azure Container Registry
(ACR), Azure DevOps, Azure Functions, and Azure Logic Apps with seamless integration of containerized applications
with Azure services for development, deployment, and automation.
Designed and automated the workflows in JIRA to trigger CI/CD pipelines, ensuring automated build, test, and
deployment processes are seamlessly integrated with project tracking.
Integrated Dynatrace into CI/CD pipelines for automated monitoring and performance testing. Implement CI/CD
pipelines using tools like Jenkins, GitLab CI, and Azure DevOps.
Skilled in Integrating MFA solutions with identity and access management (IAM) systems, directory services, and user
repositories to ensure seamless authentication workflows.
Implemented Azure Active Directory for single sign-on access to many of cloud SaaS applications like Office 365,
Dropbox. Created many users under a same subscription and enabled Multifactor Authentication for users.
Integrated AKS (Azure Kubernetes Service) with DevOps tools such as Azure DevOps, Jenkins, GitLab CI/CD, or others
for seamless application deployment and management.
Implemented CI/CD pipelines for ADFS configurations, allowing for automated deployment of changes, updates, and
patches while maintaining high availability.
Skilled in migrating on-premises databases or databases from other cloud providers to Azure SQL using tools like
Azure Database Migration Service (DMS), Azure Data Migration Assistant (DMA), and custom scripts.
Expertise in utilizing scripting languages like: PowerShell, Bash and automation tools to streamline ADFS operations,
configuration updates, and routine maintenance tasks.
Created Azure infrastructure using ARM templates, Azure pipelines to build, test, and release, and managed Azure
Container Registry to store private Docker images, which are deployed. Grafana Monitor to collect metrics and logs.
Expertise in configuring Veracode to scan applications and infrastructure as code (IaC) templates, such as AWS
CloudFormation and Azure Resource Manager (ARM) templates.
Utilized Azure Databricks for scalable and efficient data processing tasks, including ETL (Extract, Transform, Load)
operations, data cleansing, and data visualization using Apache Spark-based notebooks in Azure Databricks.
Expertise in seamless testing into the CI/CD pipeline, enabling the ongoing validation of code and infrastructure
against widely recognized security benchmarks, in accordance with DevSecOps principles.
Experienced in Integrating Azure Key Vault for secure management of sensitive information such as secrets,
certificates, and keys used by AKS applications.
Experienced in conducting code review sessions, placing significant emphasis on the detection and resolution of
security vulnerabilities, aligning with established DevSecOps best practices.
Implemented a Continuous delivery pipeline with Docker, whenever a new GitHub branch gets started,
our Continuous Integration server automatically attempts to build a new Docker container from it.
Implemented Kubernetes to manage containerized applications using its nodes, Config Maps, selector services and
deployed application containers as Pods.
Experience: August 2017 - July 2019
Master Card, St Louis - USA: AWS Platform Engineer
Responsibilities:
Hands on experienced in working with AWS services like EC2, S3, ELB, RDS, SQS, EBS, VPC, EBS, AMI, SNS, RDS, EBS,
Cloud Watch, Cloud Trail, Cloud Formation templates, Autoscaling, Cloud Front, IAM, , Route53.
Skilled in Configuring AWS load balancers, utilizing Kubernetes services by externally using AWS Application Load
Balancers (ALB) and Network Load Balancers to distribute incoming traffic across Kubernetes pods and services.
Integrated Amazon EC2 with AWS services such as S3, RDS, VPC to provide a complete, secure solution for computing,
query processing, and cloud storage across a wide range of applications.
Leverage deployment of orchestration tools like AWS Elastic Beanstalk & AWS ECS to seamlessly deploy applications
and associated AWS Aurora resources together.
Migrated few Cloud Formation templates to Terraform by using various AWS modules and Secured the Terraform
state file in S3 buckets.
Highly skilled on Terraform and AWS CloudFormation templates to define and provision the underlying infrastructure
required for Kubernetes clusters on AWS, including configuring VPCs, subnets, security groups, IAM roles, to support
the Kubernetes environment.
Successfully Involved in setting up AWS S3 services like creating buckets, configuring buckets with permissions,
logging, versioning, and tagging & lifecycle policies to back the data from AWS S3 to AWS Glacier.
Highly expertise in developing, optimizing and executing ETL (Extract, Transform, Load) processes using Databricks,
processing large volumes of data for downstream analytics and reporting.
Expertise in writing Python scripts to Implement Lambda functions to automate tasks, trigger actions, and enhance
the overall functionality of the integrated environment.
Deployed and managed Kubernetes clusters using Amazon EKS(Elastic Kubernetes Services), a fully managed
Kubernetes service, provisioning EKS clusters, configuring networking, and managing worker nodes to run
containerized workloads.
Responsible for building/deploying consistently repeatable build/deployments to company production and non-
production environments using Jenkins and BUILD Pipelines, ANT, MAVEN.
Deployed Java/J2EE applications to WebLogic server using Jenkins builds. Automate Continuous Build and Deploy
Scripts for Jenkins Continuous Integration tool.
Created post commit and pre-push hooks using Python in SVN and GIT repos. Setting up the SVN and GIT repos for
Jenkins build jobs.
Developed and Integrated Veracode security scanning into the CI/CD pipelines of AWS and Azure DevOps to
automate vulnerability detection.
Expertise in Integrating Kubernetes applications with RDS databases such as MySQL, PostgreSQL, and Amazon
Aurora for data persistence, configuring database connections, managing access credentials, and handling database
schema migrations within Kubernetes environments.
Strong experience with AWS IAM service in creating users & groups, defining roles and policies and Identity providers.
Moreover, used them to restrict access to certain buckets from certain persons.
Deploying containerized applications to Kubernetes clusters on AWS, using tools like kubectl, Helm, and AWS App
Mesh. Created OpenShift clusters on AWS and deployed applications on top of OpenShift clusters.
Leverage AWS SDK for Node.js to interact with various AWS services like S3, DynamoDB, SQS, SNS, and more.
Implemented IAM roles and policies to grant specific permissions for JFrog Artifactory operations, ensuring secure
access control based on AWS identities.
Automated the deployment and management of Spring Boot applications on AWS using infrastructure as code (IaC)
tools like AWS CloudFormation and Terraform.
Utilized AWS Beanstalk for deploying and scaling web applications and services developed with Java, Node.js, and
Python on familiar servers like Apache, Nginx, Tomcat.
Utilized Python libraries like Kafka Streams, Faust, and PyKafka to perform stream processing tasks such as
windowing, aggregation, filtering, and joining of Kafka streams.
Expertise in Integrating Python applications with logging frameworks like Loguru, Log4Py, or Python's built-in logging
module to capture Kafka-related logs and metrics for monitoring and troubleshooting purposes.
Utilized Cloud Watch to monitor resources such as EC2, CPU memory, Amazon RDS DB Services, EBS volumes to set
alarm for Notification or Automated actions, and to monitor logs for operation of the system.
Integrated PCF( Pivotal Cloud Foundry ) with various AWS services such as Amazon RDS, Amazon S3, Amazon
DynamoDB, AWS Lambda, and others to leverage the full capabilities of the AWS ecosystem.
Specialized in provisioning EKS Kubernetes clusters on AWS and GKE Kubernetes clusters on GCP, encompassing the
setup of masters, slaves, RBAC, helm, kubectl, and ingress controllers, facilitated by Terraform foundation modules.
Experience: May 2016 - August 2017
Mphasis Limited - India: DevOps Engineer
Responsibilities:
Skilled in DevOps migration and automation processes for building and deploying the system utilized Jenkins and
implemented CI/CD pipeline using plugins like conditional build step, deploy to Git.
Expertise in utilizing Jenkins as a continuous integration (CI) tool to create new jobs, managing plugins, configuring
the jobs selecting required source code management tool, build trigger, build system, notifying the build reports.
Utilized ANT, MAVEN as a build tool on Java projects for the development of build artifacts on the source code.
Expertise in Integrating JIRA with version control systems (e.g., Git, SVN) and development platforms (e.g., GitHub,
Bitbucket) to facilitate seamless tracking of code changes, commits, and pull requests.
Created and managed CI/CD pipeline Using Jenkins, Nexus, Git to improve the efficiency and produce or release bug
free or highly effective applications to the end users or customers.
Utilized Jenkins and Maven to automate the build and deployments for Java based projects and stored the binaries
of the projects in Nexus or JFrog Artifactory. Integrated JFrog Artifactory seamlessly into the CI/CD pipelines,
enabling automated builds, deployments, and releases.
Expertise in utilizing GIT version control to manage the source code and integrating with Jenkins to support build
automation and integrated with JIRA to monitor the commits.
Working as part of DevOps team for different internal automation and build configuration management. Configured
the user's accounts for Continuous Integration - Jenkins, Nexus, and Sonar.
Experience in writing Puppet manifests and modules to automate the deployment process and to integrating Puppet
manifests into Jenkins/Hudson jobs for a continuous Delivery (CD)framework.
Implemented building tools such as Ant and Maven to automate and enhance the overall operational environment.
Experience in using Splunk for log analyzing and improving the performance of servers. Managed and monitored the
servers and network infrastructure using Nagios thoroughly.
Having strong and progressive experience in the server installation and administration of Red Hat Linux, Kali Linux,
Debian, Centos, OEL (Oracle Enterprise Linux), SUSE and VMware vSphere ESX & ESXI, Microsoft Hyper-V, Windows
Server on various Hardware Platforms.
Installed, Configured of NFS, DNS, SAMBA, and deservers in RedHat, Debian, and Ubuntu Linux Servers. Configured
and managed SELinux (Linux Firewalls) and allowed appropriate ports with help of tables.
Experience in System Administration working on Red Hat Linux, Ubuntu, Solaris, Unix, CentOS, Fedora, OEL, Windows
environments, VMware vSphere.
Optimized Active Directory integration by configuring Kerberos authentication (KRB)with System Security Services
Daemon (SSSD), ensuring secure and seamless user authentication across Linux systems.
Implemented LDAPS (LDAP over SSL) for encrypted communication, fortifying the security of user authentication and
directory services.
Education:
1. Masters in Computer Science UCM 2022
2. Bachelors in Electronics and Communication Engineering- 2017
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