Devops Engineer Hybrid Cloud

Professional Summary:

DevOps Engineer with overall 10 years' experience in cloud infrastructure and automation, specializing in AWS, Azure, and hybrid cloud setups. Skilled in scalable architecture design using AWS services such as EC2, RDS, and Lambda, with extensive containerization experience (Docker, Kubernetes, ECS, EKS). I am proficient in IaC with Terraform and CloudFormation, CI/CD automation with Jenkins and AWS Code Pipeline, and configuration management with Chef and Ansible. Expertise includes monitoring (Datadog, ELK), security (IAM, Guard Duty), scripting (Python, Bash), and virtualization with VMware and OpenStack.

Cloud expertise architecting high-availability, scalable solutions on AWS core services, including EC2, Auto Scaling, S3, EBS, and ELB for robust cloud infrastructures.

Skilled in enhancing service reliability and security using Elastic IP, RDS, SNS, SQS, SES, Glacier, IAM, VPC, and CloudFront, ensuring optimal performance and security.

Proficient in IAM management, creating roles, policies, and access groups across multiple AWS accounts to enforce security, streamline access, and maintain compliance.

Leveraged AWS Lambda with Node.js and Python to develop cost-effective, serverless architectures, reducing maintenance and infrastructure costs.

Expertise in Infrastructure as Code (IaC) using Terraform and CloudFormation for efficient resource management, supporting dynamic infrastructure with version control.

Implemented hybrid cloud solutions using AWS, Azure, and OpenStack, supporting on-premises migrations and designing disaster recovery for business continuity.

Advanced in Docker for containerization, deploying scalable applications and managing Kubernetes for high availability, microservices architectures on ECS and EKS.

Extensive experience with Red Hat OpenShift, deploying secure multi-tenant applications and leveraging Kubernetes to optimize resource utilization.

Expertise in CI/CD with Jenkins, GitLab, AWS Code Pipeline, Code Build, and GitHub Actions, automating builds, tests, and deployments for streamlined workflows.

Built and maintained Jenkins Pipelines integrated with Docker and Kubernetes, accelerating deployment cycles and reducing risks from manual errors.

Orchestrated CI/CD pipelines using CloudFormation, Terraform, and Docker, enabling secure, reproducible configurations across VPC-based multi-environment setups.

Configured self-service provisioning with Terraform modules, allowing development teams to provision resources efficiently for on-demand needs.

Monitored applications using Prometheus, Grafana, and Azure Monitor to provide real-time insights into infrastructure and application health. Proactively addressed performance issues on Azure Virtual Machines (VMs) to improve system reliability

Automated configuration management with Chef and Ansible, ensuring consistent, large-scale setups across AWS, and Azure for reliable deployments.

Developed Chef Cookbooks and Ansible playbooks to automate recurring tasks, increasing system reliability and minimizing manual interventions.

Managed large-scale server setups using Puppet and Salt Stack, enabling consistent, reliable deployments across hybrid environments with flexible scaling.

Automated tasks and deployment scripts with Python, Ruby, Bash, and PowerShell, improving productivity and reducing operational errors across teams.

Integrated Datadog, Splunk, Nagios, and ELK Stack for real-time monitoring and troubleshooting, enhancing visibility into application and infrastructure health.

Configured PagerDuty and ServiceNow for incident response, improving efficiency, minimizing downtime, and streamlining the escalation process.

Extensive experience in centralized log management with ELK clusters, using Kibana for real-time data visualization and actionable analytics insights.

Proficient in Git, Bitbucket, GitHub, SVN, and TFS for source control, branching, and version management, supporting Agile workflows and continuous integration need

Technical Skills:

Cloud Environments

AWS, AZURE, GCP

Configuration Management

Ansible, Chef, Puppet

CI/CD Tools

GitHub Actions, GitLab CI, Jenkins, Bamboo

Build Tools

Maven, ANT, Gradle

Containerization Orchestration

AWS ECS, EKS, Azure Container Apps, AKS, Docker, Kubernetes, Docker Swarm

Version Control Tools

GIT, GITHUB, Bitbucket, Subversion

Database service

MySQL, MS Access, NoSQL (MongoDB, DynamoDB).

Monitoring Tools

Dynatrace, Datadog, Prometheus and Grafana, Nagios, AWS Cloud Watch, Azure Monitor, Splunk, and ELK

Web Technologies

HTML, CSS, Java Script, Bootstrap

Application Servers

Tomcat, JBOSS, Apache, IIS, WebSphere, WebLogic, Nginx

Networking/Protocol

DNS, DHCP, CISCO Routers/Switches, WAN, TCP/IP, NIS, NFS, SMTP, LAN, FTP/TFTP, cisco, SMTP, HTTP, HTTPS

Infrastructure as Code (IaC) tools

Terraform, AWS CloudFormation, Azure Resource Manager

Scripting/programming languages

Python, Power shell, Ruby, NodeJS, Groovy, Bash shell, REST APIs, YAML, JSON

Operating System

RHEL/CENTOS 5.x/6.x/7.x, Linux (Red Hat, CENTOS & SUSE), Ubuntu,

Sun Solaris, DEBIAN, HP-UX, Windows.

Educational Details: Bachelor’s in computer science, Mahatma Gandhi University – Kerala – 2013

Professional Experience:

Client: Wisconsin Department of Administration (Madison, WI) Aug 2023 – Present

Role: AWS/Azure Cloud Engineer

Description: Experienced DevOps specialist with a strong background in managing cloud systems, particularly AWS and Azure. Expertise in automating tasks, overseeing container orchestration, and managing continuous integration/delivery (CI/CD) pipelines. Proficient in Python scripting, alongside Terraform and Kubernetes, for building and maintaining scalable, resilient infrastructure. Proven success in promoting DevOps methodologies, assisting development teams, and driving automation strategies in dynamic environments.

Responsibilities:

Led the migration of multi-tier applications from on-premises to AWS/Azure, achieving a 40% reduction in operational costs and improving scalability across environments.

Expertise in maintaining AWS IAM Role/Policy based access control of services for users and groups.

Good hands-on experience in building customized polices to restrict access.

Responsible for maintaining AWS Security auditing and best practices.

Responsible for building AWS Lambda functions using python Boto3 for Access keys rotation.

I have good expertise in working with AWS Multi Factor Authentication and setting up password policies for all users in AWS accounts and lock unused accounts.

Configured SNS notifications to secure accessing root account credentials.

Responsible for cross account migration of EC2 snapshots and AWS Redshift cluster snapshots.

Responsible for copying Redshift cluster and EC2 snapshots to different regions.

Good knowledge of working with highly available active directory in the AWS Cloud.

Worked with cloud watch events to trigger lambda function and configured SNS notifications.

Good hands-on experience working with maintaining AWS IAM best practices.

Worked with Azure Active Directory and IAM.

Worked on Azure AD, Azure AD Connect, and Federated SSO to control access to various cloud services and components.

Worked with ADFS, Microsoft MFA and AWS MFA.

Provided cost estimates and monthly usage reports to clients on usage of particular service and on services usage on regions and cresting cost model for licensing.

Good hands-on experience working with Azure RBAC (Role Based Access Policy).

Worked on AWS s3, Glacier and Glacier Vault for archival file storage.

Working as Kubernetes Administrator, involved in configuration for web apps, Azure App services, Azure Application insights, Azure Application gateway, Azure DNS, Azure traffic manager, App services.

Configured V-net integration, Active directory, Encryption, and security on Azure using ARM templates and PowerShell scripts

Worked on Azure Blob storage and have good knowledge on Queue storage and disk storage.

Worked with AWS Organizations to centrally manage policies across multiple AWS accounts and control access to AWS services.

Worked with managing user identities and access to protect against advanced threats across devices, data, apps, and infrastructure.

Build Terraform scripts to build a completed environment like AWS VPC, Security Groups and subnets.

Worked with creating crawlers in AWS Glue and configuring AWS Athena with Tableau to access objects in s3 and create tables.

Expertise in configuring ELB (Elastic Load Balancer) and Auto scaling once the server reaches maximum CPU utilization and creating AMI (Amazon Machine Image).

Worked with multiple end clients on troubleshooting network issues and configuring inbound and outbound security groups.

Good hands-on experience working with s3 tools like cloudberry, s3 Browser and Fast Glacier.

Experience working with objects moving to the Glacier and retrieval from Glacier.

Good hands-on experience working with AWS billing and providing cost estimates for environments to end clients.

Good knowledge of AWS Code Commit, Code Build, Code Deploy and Cloud9.

Excelled in architecting and managing scalable API infrastructures on AWS and Azure, demonstrating advanced cloud management skills for high-performing applications.

Configured VPC, Route Tables, Direct Connect, Internet Gateway, Security Groups, and CloudWatch Alerts for enhanced security and monitoring across cloud environments.

Developed AWS CloudFormation templates to create custom-sized VPCs, subnets, and NAT instances, ensuring successful deployments for web applications and databases.

Secured applications by integrating Okta through SAML, OAuth, and OIDC protocols, strengthening authentication and access management.

Created and managed Snowflake roles and permissions to control user data access and optimized queries to reduce costs and improve performance.

Conducted static code analysis with SonarQube to ensure code quality, maintainability, and security across deployed software solutions.

Built, tested, and deployed applications with DevOps tools like Git, Chef, Ansible, Jenkins, Docker, and Kubernetes on AWS EKS using CloudFormation.

Loaded data into Amazon Redshift and used AWS CloudWatch to monitor RDS instances, ensuring optimal performance and proactive incident management.

Migrated a Data Warehouse from Oracle to AWS Redshift, implementing data extraction, transformation, and loading strategies to streamline processes.

Converted existing AWS infrastructure to a serverless architecture using AWS Lambda and Kinesis, deploying infrastructure as code with Terraform and CloudFormation.

Integrated load balancers in AWS with Elastic Load Balancing (ELB) and Azure Load Balancing to distribute traffic effectively across cloud-hosted services.

Successfully created Kubernetes pipeline of deployment & operation activities where all code is written in java, python & stored into bitbucket, for staging & testing purpose.

Implement Azure Backup for Microsoft 365 to protect data from accidental deletions or ransomware attacks.

Reduced build and deployment times by designing and implementing Docker workflow. Build and maintained docker container clusters managed by Kubernetes, utilized Kubernetes and docker for the runtime environment of the CI/CD system to build, test and deploy.

Environment: AWS Services, Azure Services, Cloudera, Golang, Hashi Corp Vault, JIRA, VMware, GitHub, Docker, YAML, Snowflake, Grafana, Go, Sage Maker, Artifactory, Shell, Glue, Terraform, GitLab CI/CD, Dynatrace, TypeScript, Maven, AWS EC2, S3, IAM, Cloud Watch, Cloud Trail, SNS, WAF, Vault, Lambda, JSON, Terraform, Redshift, VPC, Security Groups, AWS Glue, AWS Billing, Azure AD, Azure AD Connect, Cost Explorer, Azure MFA, SSO, ADFS, CloudFormation, Cloudberry, fast Glacier, S3 Browser, Hashi crop Vault, AWS CLI, Linux, Windows, Putty, Code Commit, Code Build, Code Deploy, Cloud9. AWS Athena. AWS Directory Service, AZURE AD, Azure IAM, Tableau, AWS Organizations.

Client: CenturyLink, Denver, CO March 2022 – July 2023

Role: DevOps Engineer

Description: I have experience as an AWS and GCP Cloud and DevOps Engineer specializing in constructing and overseeing scalable infrastructures on platforms like AWS and Red Hat using different automation tools. My expertise lies in design principles as well as setting up CI / CD pipelines and managing configurations while ensuring effective data migration in fast paced environments with a keen emphasis on efficiency and top-notch availability.

Roles and Responsibilities:

Utilized Ansible and Jenkins to automate provisioning for the identity management solution with Single Sign-On (SSO) for AWS and integrated SSO with EKS for secure authentication.

Work on Google cloud platform (GCP) services like compute engine, cloud load balancing, cloud storage,

cloud SQL, stack driver monitoring and cloud deployment manager

Reduced downtime to zero during database updates by implementing Blue-Green Deployment in OpenShift, ensuring smooth transitions with minimal impact on end users.

Automated the IAM secrets policy management for Hashi crop Vault by integrating it with Jenkins,

deployment of PostgreSQL databases, load balancers for Aqua Sec container security tool inside GCP

using Cloud SDK and Python

Build servers using GCP, importing volumes, launching EC2, RDS, creating security groups, auto-scaling,

load balancers (ELBs) in the defined virtual private connection.

Implemented serverless architecture with API Gateway, Lambda, and DynamoDB and deployed AWS Lambda code from S3 buckets, creating a Lambda deployment function configured to trigger from S3 events.

Responsible for managing the GCP services such as Compute Engine, App Engine, Cloud Storage, VPC,

Load Balancing, Big Query, Firewalls, and Stack Drive

Creating Google cloud storage (GCS) buckets, maintaining and utilizing the policy management of these

buckets and used GCS cold line for storage and backup on Google cloud

Setting up GCP Kubernetes cluster and Migrating applications gradually between Kubernetes

deployments so that intra-cluster trac is not affected

Migrated CloudFormation templates to Terraform, integrating with EFK for log aggregation, enhancing infrastructure as code (IaC) and observability practices.

Used Terraform modules to set up GCP environments and create buckets with encryption, VPC, GKE

clusters

Building/Maintaining Docker/ Kubernetes container clusters managed by Kubernetes Linux, Bash, GIT,

Docker, on GCP

Developed CI/CD pipelines with AWS Code Commit, AWS Code Deploy, and AWS Code Pipeline to automate deployments in AWS environments, ensuring consistency and reliability.

Experience in Architecting and Designing solutions leveraging GCP services like GCE/GAE/GKE, Cloud

Big Query, Cloud Data Flow, Cloud Pub/Sub, Cloud Bigtable to run enterprise applications

Performed troubleshooting and deployed numerous Python bug fixes for critical applications, directly supporting customer and internal service team requirements.

Built a command-line tool in Golang to interact with RESTful APIs and wrote data APIs to support multi-server applications based on product requirements.

Authored Jenkins Pipelines with Groovy and PowerShell scripts, supporting build workflows for various applications, including defined build and deploy stages.

Leveraged AWS CloudWatch to monitor EC2 instances, CPU/memory, Amazon RDS, and EBS volumes; set alarms for notifications and actions while monitoring logs for better system insight.

Utilized Terraform for high-availability, fault tolerance, and auto-scaling infrastructure on AWS, integrating CI/CD with AWS Lambda and AWS Code Pipeline.

Expertise in Docker images and orchestration; used Kubernetes for managing Docker containers, creating master and worker nodes to support scalable applications.

Designed and implemented CI/CD pipelines using Git, Jenkins, Maven, ECR, and EKS, achieving complete automation from code check-in to deployment on EKS clusters.

Environment: Jenkins, OpenShift, AWS Code Pipeline, AWS Lambda, CloudWatch, Terraform, Docker, Kubernetes (EKS), Datadog APM, Dynatrace, Ansible, Elasticsearch, NodeJS, Golang, SQL, ServiceNow, Kafka, Storm, .Net, ServiceNow Administration, Jenkins, EKS, S3.

Client: Dow Chemical, Midland, MI Dec 2019 – Feb 2022

Role: Azure Engineer

Description: At Dow Chemical my role as the Azure Engineer has a lot of experience as a System Administrator handling Linux servers and managing Azure infrastructure with a focus on DevOps practices and automation techniques. I am proficient in setting up availability systems and deploying scripts across environments, like Azure. Both traditional and cloud based.

Roles and Responsibilities:

Deployed and managed servers with Microsoft Azure and Chef for robust configuration management across multiple environments.

Design, Plan and create Azure virtual machines, Implement and manage virtual networking within Azure and connect to on-premises environments.

Implemented high availability with Azure Classic and Azure Resource Manager deployment models.

Setup and configured continuous delivery within Azure using a combination of Azure Resource Manager (ARM) templates and Visual Studio Team Services (VSTS)/Azure Devops.

Experience on Power Shell scripts to automate the Azure cloud system creation including end-to-end infrastructure, VMs, storage, firewall rules.

Setup Azure Virtual Machines (VMs) to meet security requirements as software-based appliance functions (firewall, WAN optimization and intrusion detections).

Deployed Windows and Linux based Docker containers with popular container orchestrators like Kubernetes and DCOS provisioned by the Azure Container Service and integration of container registries, specifically Docker Hub and the Azure Container Registry into DevOps workflows.

Provided high availability for IaaS VMs and PaaS role instances for access from other services in theVNet with Azure Internal Load Balancer.

Designed User Defined Routes with custom route tables for specific cases to force tunneling to the Internet via on-premises network and control use of virtual appliances in the customer’s AZURE environment.

Utilized NSGs for layer 4 Access Control List (ACLs) for controlling the incoming and outgoing packets.

Leveraged VNET system routes and underlying route table that holds Local VNet Rules, On-premises, Internet Rules and IP Forwarding as design basis.

Implemented & maintained the branching and build/release strategies by utilizing GIT.

Application Deployments & Environment configuration using Ansible. Written Ansible Playbooks to configure, install software and other packages on to the application.

Automated the installation and Configuration of IIS, Tomcat and JBOSS Middleware using chef and performed the automated installation on Azure VM’s.

Written ansible modules and roles and installed the middleware on Linux and Windows VM’s using Ansible.

Worked with Docker for portable Deployment of applications.

Created and maintained various DevOps related tools for the team such as provisioning scripts, deployment tools and staged virtual environments using Docker.

Used Kubernetes to orchestrate the deployment, scaling and management of Docker Containers.

Configure Jenkins server in Azure and leverage it along with Git to setup continuous integration &delivery of web application. Configured to Pull source code from a GitHub repository and configure Jenkins to build and deploy the code to Staging slot, before it is pushed to production.

Worked on migrating the Jenkins Build jobs and Pipelines to Azure Devops.

Used the Azure Devops Build Pipelines, Release pipelines, Repos (TFVC and Git), variable groups, task groups etc. to automate the build and deployment of Internal apps.

Architected Azure services, including IIS, Active Directory, Azure Resource Manager, Azure VMs, Blob Storage, SQL Database, Azure Files, and Azure Functions to enhance functionality and scalability.

Conducted branching, merging, tagging, and release management with TFS 2013, SVN, and Git, maintaining a streamlined version control process.

Integrated Git with Jenkins for CI/CD, code quality tracing, and managed dependencies with Maven and Gradle in a structured pipeline.

Automated provisioning tasks using Azure Blueprints, ARM templates, and PowerShell, supporting rapid, consistent deployment across Azure DevOps.

Administered Kubernetes (K8s) containers with security configurations, leveraging LDAP, SELinux, RBAC, and OAuth for secure access control.

Environment: Azure VMs, Azure Blob Storage, Azure Files, SQL Database, Azure Active Directory, Azure Functions, Azure Resource Manager (ARM), Azure DevOps, RDS, Microsoft Windows Azure, Windows server 2012/R2/2016, SQL server, Windows PowerShell, Chef, Kubernetes, Jenkins, Docker, Azure DevOps and Git. VPC, SES, SQS, SNS, PowerShell, ARM Templates, Red Hat Satellite Server 6.2, Chef, Ansible, Kubernetes (K8s), OpenStack, VMware (VMware 5.5, vSphere 5.5), GitHub Enterprise, TFS 2013, SVN, Apache, JBoss, Tomcat, WebLogic, WebSphere.

Client: ETSY, Brooklyn New York May 2018 – Nov 2019

Role: Azure Devops Engineer

Description: ETSY is an online marketplace focused on handmade, vintage items, and unique factory-manufactured products.

At Etsy, I designed and maintained CI/CD pipelines, orchestrated containers with Azure Container Instances (ACI), and automated workflows using Python and PowerShell. Azure-native services, I enhanced deployment efficiency and system reliability, collaborating closely with teams to optimize cloud infrastructure and automate processes.

Roles and Responsibilities:

Configured and automated Azure DevOps and Jenkins pipelines for Continuous Integration (CI) and Continuous Deployment (CD) across development, staging, and production environments, ensuring consistent and efficient delivery of applications hosted on Azure Virtual Machines (VMs) and Azure App service

Business critical production application (Right Angle S11/S15) support.

Application migration from on-prem to Azure cloud.

Cloud application development solutions (e.g. IaaS, PaaS), continuous integration technologies (e.g. Jenkins, Azure DevOps, Ansible),

Ability to learn new technology in a fast-paced environment. Ability to deal with ambiguity.

Deep Understanding of cloud computing technologies across Windows and Linux, with demonstrated.

Azure Application support experiences with Azure PaaS and IaaS

Website troubleshooting & coding experience: IIS, Azure Web Apps, PHP, Apache, Tomcat, WordPress.

Identity and Authentication: SSO/Federation, AD/Azure AD.

Automation knowledge languages (PowerShell, Ansible).

Deep domain expertise of cloud application development solutions (e.g. IaaS, PaaS), continuous integration technologies (e.g. Jenkins, Azure for DevOps, Ansible),

Ansible (hands on experience) like VM’s creations and setup web application

Monitored applications with Prometheus, Grafana, and Azure Monitor, providing real-time insights into infrastructure and application health, improving the ability to proactively address performance issues on Azure Virtual Machines (VMs).

Experience in Windows 2003, 2008 & 2008R2, 2012R2 Active Directory Administration.

Installation, configuration and maintenance of SQL 2000/2005/2008/2014 with reporting services Database Server web application server technologies, cloud application design, software architecture and practices (design/development/deployment, Agile, SCRUM, Safe Agile),

Experience and understanding of largescale applications portfolio in enterprise-wide environment (including migration of on-premises workloads to the Azure cloud).

Working closely with developers to understand code and design/implement Ansible around their code to support migration into Azure and integration with CI/CD pipeline.

Implement an Azure Active Directory, Integrate an Azure AD with existing directories, implementing directory synchronization Enable directory integration

Implement Cloud Services, implement ACLs Network Security Groups (NSG), Deploy and manage cloud services, Monitor cloud services.

Implement SQL databases. Choose the appropriate database tier and performance level; configure point in time recovery, geo-replication, and data sync; import and export data and schema; design a scaling strategy

Implement Virtual Networks, deploy a VM into a virtual network; deploy a cloud service into a virtual network; configure static IPs; configure internal load balancing; design subnets Modify a network configuration, modify a subnet; import and export a network configuration

Configure a custom domain, obtain ownership of a domain if you don’t already have one. Add the domain to your Azure directory.

Update DNS records at the domain registrar. Verify the domain in the management portal. Change the primary domain for the directory.

Configure access to SaaS applications, assigning user access to applications, Accessing applications from the Access Panel

Implement Cloud Services, implement ACLs Network Security Groups (NSG), Deploy and manage cloud services, Monitor cloud services.

Environment: WINDOWS server 2012/ 2008-R2, AD, DNS, DHCP, IIS server, SQL servers 2008-R2,2012-R2&2014-R2 /2016, ASG, LB, storage, SQL Server 2016/2014/2012/2008/2005, MySQL, Oracle10, IIS, Apache Tomcat, Xampp, Ansible, Jenkins, SSMS, Dynatrace, SCOM, SolarWinds, Solarc Right-angle (RA versions) &PowerBuilder (PB) for Trading application, Nagios, NetApp and Veritas NetBackup

Client: Quadra Systems Company, Hyderabad, INDIA Aug 2014 – Jan 2018

Role: Linux Server Support

Description: Experienced Linux Server Support Engineer with expertise in managing large-scale RHEL, Solaris, AIX, HP-UX, and SUSE environments for high availability. Skilled in HPC cluster management, web server configuration (Apache, JBOSS), and RAID optimization. Strong background in network security, firewall setup, SSH/SSL, and DNS/DHCP. Proficient in troubleshooting and security audits.

Roles and responsibilities:

Managed Linux and UNIX servers, providing critical support and maintenance to ensure high availability and system reliability across Production and QA environments.

Installed and configured RHEL OS on HPC clusters, including necessary network setups to optimize performance and connectivity in Development and QA environments.

Skilled in installing, configuring, and upgrading Solaris, AIX, HP-UX, and Linux (Red Hat and SUSE) operating systems, ensuring compatibility and stability across Dev, QA, and Production environments.

Installed, configured, and troubleshooted VXVM under Sun Solaris 8 and HP-UX, resolving complex issues to maintain storage integrity across Staging and Production.

Managed HPC clusters, including hardware upgrades, BIOS updates, and application installations, meeting evolving demands in Development and Production.

Configured and managed Apache and JBOSS web servers while overseeing software and hardware RAID systems to optimize performance in Staging and Production.

Administered user accounts and managed authentication processes using NIS, enhancing security and access control across QA and Production environments.

Managed system firewalls with IP Chains and Iptables, implementing SSH and SSL for secure communications and data protection across Development and Production.

Set up and maintained DNS (Primary, Secondary, and Cache-only) servers and DHCP servers and clients, supporting a reliable network infrastructure across QA and Production.

Resolved incidents, problems, and change tickets related to AIX, UNIX, and Linux servers, ensuring smooth operations and minimal downtime in Production.

Handled disk management tasks, including adding and removing disk partitions, maintaining efficient storage allocation in Production and Staging environments.

Administered WAS ND clusters (vertical and horizontal), deploying applications in highly available, load-balanced Production environments.

Collaborated with network engineers on NAS-based storage setups, ensuring seamless integration and adherence to security protocols in QA and Production.

Conducted security audits on UNIX/Linux servers, verifying compliance and monitoring systems proactively to address vulnerabilities in Production.

Configured network TCP/IP on AIX, setting up RPC for NFS, creating mount points, and mounting directories on AIX servers for optimized resource sharing across Staging and Production environments.

Environment: Solaris 8, RHEL 3/4, AIX 5.2, HP-UX 11.x, Windows 2000/2003, Sun Enterprise Servers (6800, 4800, v480, E5500, E4500, E3500), Veritas File System 3.0, ORACLE.

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