VANI BATHIKE THIRUMALA

(DevOps/SRE Engineer AWS/AZURE/GCP)

Phone: +1-470-***-****

Email: ad3tl0@r.postjobfree.com

LinkedIn: https://www.linkedin.com/in/vani-b-t

PROFESSIONAL SUMMARY

IT professional with 10+ years of experience in DevOps/SRE/Platform Engineer & cloud Administration.

Experienced in understanding of the principles and best practices of Software Configuration Management (SCM) in Agile, Scrum, waterfall, ITIL, SDLC, methodologies.

Skilled in setting up, designing, and automating applications and infrastructure for optimal performance and security. Experienced in managing cloud-based systems using AWS, Azure, and GCP, employing SRE strategies to ensure smooth and safe operations.

I have experience with several AWS Cloud infrastructure managing and optimizing EC2 Instances, RDS, EBS, and Lambda Functions. VPCs, Subnets, Internet Gateways, CloudFormation, Auto Scaling, securing resources with IAM, CloudFront.

monitoring and management tools like CloudWatch and CloudTrail, messaging and queuing with SNS and SQS, big data processing with EMR, encryption with KMS, database management with DynamoDB, Mango DB, NO-SQL and Redshift, EKS, S3 and ECS, Route 53, API Gateways.

Skilled in disaster recovery and data preservation through the creation of snapshots and AMIs for EC2 instance backup, and proficient in instance replication for scalability and high availability.

I have experience with several Azure services, such as in Azure Resource Manager (ARM), Azure Logic Apps, Redis Cache, Azure API Management, Azure IoT, developing microservices with Azure Service Fabric, Azure Functions, messaging with Azure Service Bus, securing sensitive data with Azure Key Vault, managing identities with Azure AD (Active Directory), Azure Arc, orchestrating data integration with Azure Data Factory, etc.

Expertise in Azure Development worked on Azure web application, App services, Azure storage, Azures Database, Azure Virtual Machines for scalable computing, optimizing search capabilities with Azure Search Azure search, managing Azure DNS settings, Azure VPN Gateways, Azure Notification Hub, experienced in Azure cloud network designing/managing cloud security and deployment practices.

Proficient in Google Cloud Platform's GCP Compute Engine, App Engine, Kubernetes Engine, and Cloud Functions, coupled with robust storage options including Cloud Storage, Persistent Disk, Filestore, and fully managed databases like Cloud SQL, BigQuery, Dataflow, Cloud Source Repositories, and Container Registry for efficient DevOps workflows.

Experience using integrated development environments (e.g. Visual Studio, Visual Studio Code, Eclipse).

Experience in designing, deploying and operating SaaS, PaaS, & IaaS applications and cloud infrastructure (GCP AWS & Azure equivalent & On-Premises virtualized environments)

I am skilled with several different tools and technologies, including TFS, GitHub Actions, Jenkins, Bicep, Terraform, ARM, Find Bugs.

Expertise in Azure infrastructure, including services such as Databricks, ADLS, PostgresDB, Event Hubs, and AKS, coupled with Databricks Admin certification and proficiency in Python, SQL, and CI/CD pipelines, I excel in architecting, deploying, and maintaining end-to-end data processing and machine learning environments, ensuring scalability, reliability, and efficiency across the entire stack.

Experienced in designing and building both on-premises (local) and cloud-based release pipelines.

Configured and managed web servers including IIS, Nginx, Apache, Tomcat, and Caddy.

Proficient in internet protocols and security practices, including email systems, HTTP/HTTPS, FTP, SSL/TLS, SSH, TCP/IP, and DMARC, SPF, Ubiquiti, UISP, Unifi, VNET, Endpoints- Azure & AWS, TWG, ExpressRoute-Azure, Direct Connect- AWS and domain keys for enhanced communication security.

Working on AWS CI/CD pipelines using CodeCommit, CodeBuild and CodeDeploy, build tools Ant, Mavan.

Expertise in DevOps, Release Engineering, Configuration Management, Cloud Infrastructure, Automation. Which includes AWS, Jenkins, Chef, SVN, GitHub, Tomcat, J Boss, Linux etc.

Fluency with current generation scripting language used by SRE/DevOps, Bash, Python, PowerShell, Ruby, JavaScript (with Node.js), Groovy, PHP, TypeScript, Azure CLI, Lua, Go(Golang), Scala, YAML.

Also worked on Apache Hadoop and used Kafka for messaging system and spark for processing large sets of data.

Used Git as a SCM tool with Azure DevOps (VSTS), created a local repo, cloning the repo, adding, committing, pushing the changes in the local repo, recovering files, creating tags, viewing logs.

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

Continuous deployment and configuration Management capabilities with Ansible and OpenShift.

Written Docker files to build custom Docker images and used Docker Hub, Docker registry to manage the images.

Acquire administration knowledge in operating systems such as SUSE, Linux, Debian, Fedora, RHEL, Ubuntu, CentOS, Windows, and Unix like systems.

Managed SQL databases including (MS-SQL, Oracle, MySQL/MariaDB, Postgres,) & NoSQL (DynamoDB, MongoDB, Google Datastore, Cassandra) SQL/PLSQL.

Containerized stateless/Stateful applications like Java Spring boot, Django, Flask, React, Kafka, PostgreSQL application using Docker.

Created Role-Based access control (RBAC) for better user management across multiple clusters.

Experienced in deploying the code through web application servers like Web Sphere, Web Logic, Apache Tomcat, Nginx and JBOSS.

Developed ansible playbooks, Runbooks to actively administer the OpenShift clusters.

Deep understanding and implementation of various branching strategies such as GitFlow, GitHub Flow, and GitLab Flow.

Experience designing and customizing branching strategies to fit specific project requirements and team workflows.

Experience automating branching and release workflows using Git hooks, CI/CD pipelines, and scripting languages like Bash or Python.

Seamlessly added disks to virtual machines, leverage general vSAN knowledge, and ensure smooth storage vMotion for flexible and effective storage solutions.

Expertly deploy third-party appliances like Fortinet, Palo Alto, and Cisco ASA for robust security solutions. Implemented diverse routing approaches, including User Defined Routing, System Defined Routing, and Advanced BGP, to optimize network performance and flexibility.

Experience with cloud platforms such as AWS, Azure, or Google Cloud; familiarity with DNS/IPAM, firewalls, load balancing, NAC, DDoS mitigation, tapping/sniffing infrastructures, and NTP." WAN, LAN, IPv6, TCP/IP, VPN, and Ethernet proficiency along with knowledge of routing protocols such as BGP4, RIP, VPLS, and MPLS. Current Cisco CCIE certification and experience with Python or Perl programming languages are prerequisites.

Also skilled with packet analysis with Wireshark, WAN optimization with Riverbed, and network monitoring tools like SolarWinds and NetFlow. familiarity with network automation tools such as Ansible, Zero Touch Provisioning, and Gigamon.

knowledge in Linux administration, Microsoft Server, and virtualization programs such as VMware. SDN expertise along with familiarity with documenting programs such as MS Visio and Project.".

EDUCATION

Bachelors in Electronics and communication S.V University, Thirupathi, India.

CERTIFICATIONS

Certified Azure Administrator Associate.

Certified Kubernetes Administrator.

TECHNICAL SKILLS

AWS Services

RDBMS, EC2, VPC, IAM, Cloud Formation, EBS, S3, ELB, ECS, ACM, Auto Scaling, Cloud Trial, SQS, SNS, Cloud Watch Logs, Lambda Functions, Eks/ ECS, Elastic Beanstalk, Security Groups/ Firewalling, DNS, SSL/TLS, Kinesis, ADFS and AAD

Microsoft Azure Services

App Services, Key vault, function app, Blob storage, Azure AD, Service Bus, ACR and AKS, Azure SQL, Azure Cosmos DB, Azure Data Lake, Azure Kubernetes Services, Azure DevOps, Load balancers, Okta, Networking, Microsoft VSTS, Azure Databrics, ADLS

GCP (Google Cloud Platform)

Compute Engine, Cloud Functions, Cloud SQL, Cloud VPC, Cloud Monitoring, Cloud Storage, Autoscale, VertexAI,

SDLC

Agile, Scrum, Kanban

CI/CD Pipelines

Jenkins, Azure Pipelines, Bitbucket, AWS CodePipeline, Codebuild, Github Actions, Bamboo, CircleCI, Travis CI, GitLab CI, Cloud bees, Azure DevOps

IaC

Ansible, Puppet, Chef, SaltStack, AWS Cloud Formation, Azure Resource Manager.

Web Servers

Nginx, Apache, HTTP Server, Redis, Tomcat, IIS (Internet Information Services)

Operating Systems

Microsoft Windows XP/ 2000, Linux, UNIX.

Tracking Tools

Jira, Bugzilla

Code Scanning

Sonar Qube, Jfrog X ray, ECR Inspector.

Databases

RDBMS, NoSQL, Cosmos DB, My SQL DB, Mango DB, PostgreSQL, MS-SQL.

Logging

Splunk, Graylog, ELK (Stack Logstash Kibana),

Container & Orchestration

Docker, Kubernetes, Open Shift.

Monitoring Tools

Prometheus, Grafana, Cloud Watch, Cloud Trail, Azure Monitor, PagerDuty, Datadog, New Relic, CheckMK, Dynatrace, Google Analytics

Languagesss

Python, HTML, Shell scripting, Bash, Ksh,Perl, bash, Java Script, Shell Scripting, Power Shell, Unix Shell, Yaml, Azure CLI, R, JSON, Groovy, REST, XML, javaEE/C++

Testing Tools

SOAP UI, SonarQube Analysis, REST API’s,Veracode and API testing

Data Visualization

Tableau, New Relic, Sumo Logic, vSAN, vMoti, VMware ESXi, Hyper-V, OpenTelemetry

Cloud Platforms

Microsoft Azure, Aws Cloud, GCP.

Version Control Tools

GIT, Bit Bucket, Azure Repos, GitHub Enterprise, GitLab, SVN,

Other

Kafka, Snowflake, Statuspage, Big Query, Databrics, Hadoop, Spark, Databrics.

WORK EXPERIENCE

Client: Abbott, Chicago, IL June 2022 to till Date

Role: DevOps/SRE Engineer

Responsibilities:

Proficient in leveraging a wide range of Amazon Web Services (AWS) such as EC2, EBS, IAM, S3, ELB, RDS, VPC, Route 53, OpsWorks, CloudWatch, Kinesis, KMS, CloudFormation, and Terraform Templates. Experienced in managing Auto Scaling Groups (ASG), Lambda, EMR, RedShift, CodeDeploy, and more.

I have hands-on experience with successfully migrating on-premises infrastructure to cloud environments. I've modernized applications for cloud-native architectures.

Creating stored procedures, PL/SQL scripts, and SQL queries for the new specifications.

By applying Azure DevOps (VSTS) and Git as an SCM tool, the user generated a local repository, cloned it, added to it, committed to it, pushed the changes there, recovered files, made tags, and examined logs.

Implemented various kinds of K8s Deployment approach like Deployment, Replication Controller based on the application requirements.

Ensuring NFRs are identified, defined, and prioritized.

Working knowledge of Kubernetes and deployment tools such as HelmChart, ArgoCD, etc.

Reviewing and testing controls and alerting mechanisms in UAT environments for operational standards.

Worked with various services of AWS: EC2, Elastic Beanstalk, ELB, Route53, S3, Cloud Front, SNS, RDS, IAM, Cloud Watch and Cloud Formation.

Establish technical standards for application architectures and technologies, such as web applications, mobile applications, cloud computing, and subscription services, in collaboration with developers and subject matter experts.

Bridging the gap between Development and Operations using DevOps and Migration of applications to Cloud for more scalability, business continuity.

Involved in designing and deploying multitude applications utilizing almost all the AWS stack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and auto- scaling in AWS Cloud Formation.

Operating as DevOps engineer responsible for Implementing, building/deploying/operating AWS cloud & Kubernetes environment. Migrating application and Configuring Operators on Kubernetes applications with all its components, such as Deployments, Etc, Kobe-api, Config Maps, Secrets, Services, etc.

Support an on call 24 x 7 cloud Production Environment.

Experience in working with Terraform for automating ELBs, Security Groups, SQS Queues, S3 Buckets, and continuing to replace the rest of our infrastructure, Created Cloud formation JSON templates in Terraform for infrastructure as code.

Designed and enforced security policies and role-based access control (RBAC) within Kubernetes, enhancing cluster security and compliance with industry standards.

Modify platforms to fit the needs of Data and Analytics and support advanced analytics

Managed Kubernetes components, including the API server, Controller Manager, Scheduler, etcd, Cloud Controller Manager, and Node components like kubelet and kube-proxy.

Storage on AWS EBS, S3, Glacier and automate sync data to Glacier and Databases services on AWS like RDS, Dynamo DB, Elastic Transcoder.

Designed and constructed robust infrastructure frameworks tailored specifically for data processing and machine learning ML operations, leveraging Databricks to ensure seamless integration and optimal performance throughout the entire data lifecycle.

Involved implementing Big Data ETL streaming pipeline to migrate transactional data to AWS Cloud using AWS Kinesis Event Streaming Platform, Stream sets, AWS EMR.

Configuring Elastic Beanstalk for developers to quickly deploy applications for testing and pushing developed code for testing.

Expertly migrate to the cloud, transition seamlessly among clouds, and modernize applications for enhanced performance. Enable continuous development through streamlined CI/CD pipelines. Manage resources efficiently with robust cost control, quota management, and forecasting strategies.

Created and Configured Services in K8s clusters to handle load balancing of requests among the multiple application pods for high availability.

Setting up, configuring, and managing AKS clusters for container orchestration and management

I succeed in SRE responsibilities by guaranteeing robust monitoring, performance optimization, and automation inside cloud and infrastructure environments, boosting system efficiency and dependability. I do this by using experienced APM tools and observability methods.

Experienced with the following tools and technologies: Git, SoapUI, Jenkins, Artifactory, SonarQube, Find Bugs, Docker Experience with deploying and configuring API scanning tools.

Automated AWS components like EC2 instances, Security groups, ELB, RDS and IAM through AWS Cloud formation templates.

Worked on the cluster management and orchestration features embedded in the Docker Engine which are built using Swarm and worked on creation of custom Docker container images, tagging, pushing the images and Dockers consoles for managing the application of life cycle.

Environment: AWS, Azure, Terraform, EKS, Kubernetes, Docker, Ansible, Jenkins, Nexus, SonarQube, Git, GitHub, Kafka, Prometheus, Nagios, SQL, MongoDB, WebSphere, Solaris, Tomcat, Shell, Python, PowerShell, Jira, Confluence, Slack, Azure Kubernetes Cluster, Python+SQL, Function apps, IOT HUB, APIM, Key Vault, F5 Load Balancers.

Client: ABBYY Jul 2020 to May 2022

Role: DevOps Platform Engineer

Responsibilities:

Worked on the Business requirements and developed the solution, Agile Methodology and continuous integration using the SDLC process.

Prepared capacity and architecture plan to create the Azure Cloud environment to host migrated IaaS VMs and PaaS role instances for refactored applications and databases.

Worked on Power Shell scripts to automate the Azure cloud system creation of Resource groups, Web Applications, Azure Storage Blobs & Tables, firewall rules.

Created and Configured Azure Cosmos DB and exposed the service as Web API.

Collaborate to development of main Web Applications to provide invoicing emission services, Responsible of web application deployments over cloud services on Azure, using VS and PowerShell.

Configuring the Load Balance Sets Azure Load Balancer, Internal Load Balancer and Traffic Manager and worked on Application Gateway.

Familiarity with AutoSys, ServiceNow, JIRA, and understanding of DevOps processes and toolchains.

Used Azure DNS zone to maintain URLs. Bought open networks DNS zone for application.

Hands on experience on Backup and restore Azure services and in Design and configure Azure Virtual Networks (Vets), subnets, Azure network settings, DHCP address blocks, DNS settings, security policies and routing. Azure cloud services, Blob storage, Active directory, Azure Service Bus, Cosmos DB.

Worked with Docker and Kubernetes on multiple cloud providers, from helping developers build and containerize their application (CI/CD) to deploying either on public or private cloud.

Worked on planning and deployment of Self-service password reset functionality of Azure AD that reduces IT helpdesk cost.

Participated in SCM tool evaluation selection and implementation. Proactively identified, implemented process and other operational improvements for build/release/deployment.

Worked closely with multiple development and test teams to provide process design, management, and support for source code control, code compilation, change management, and production release management.

Experience with Linux systems, virtualization in a large-scale environment, experience with Linux Containers (LXC) and Docker.

I have hands-on experience with vSAN, vMotion, that enables seamless live migration of virtual machine disk files between storage locations, facilitating workload mobility, resource optimization, and storage maintenance without any downtime.

Used ANT, Chef Scripts to build the application and deploy.

Resolved update, merge, and password authentication issues in Gitlab and Jira.

Worked with staff to outline and scheduled department needs regarding database functionalities, data analytics and reporting; created business requirements.

I have experience with key compliance standards including GDPR, HIPAA, and HITRUST, ensuring data privacy and security practices meet stringent regulatory requirements across various sectors.

Co-ordinate with global identity and access management program involved in hybrid identity project.

Worked on dynamic group membership rules (rules are based on attributes) to provide access to various applications.

Troubleshooter the issues regarding access to the applications using the audit logs.

Maintaining Azure infrastructure, preferably with certification, entails ensuring optimal performance, scalability, and security of Azure resources and services through proactive monitoring, timely updates, and adherence to best practices and compliance standards.

Managing IAM (Identity Access Management) on azure portal to give access to developers or groups.

Used Helm charts to integrate the application with different ports and it contains service, deploy and ingress files in YAML.

Used go language to maintain Deployment files for application.

Used Azure DNS zone to maintain URLs. Bought open networks DNS zone for application.

Hands-on experience in leveraging Databricks, I have successfully designed and implemented end-to-end data pipelines, incorporating data ingestion, transformation, model training, and deployment stages, to facilitate seamless and automated machine learning operations.

Experienced in developing and building platforms for data and ML operations using Databricks, I have demonstrated proficiency in architecting scalable and efficient data processing pipelines, leveraging Databricks' unified analytics platform.

Environment: Azure Services, YAML, GCP, Docker, Redis, OpenShift, Chef, GitLab, Jfrog, Splunk, Datadog, Dynatrace, Cucumber, Confluence, Cassandra, MySQL, NoSQL, GoLang, Java, Shell, Python, Azure infra viz. Databricks, ADLS, PostgresDB, event hubs, AKS, Databricks Admin certified, Python+SQL, CI/CD, Groovy, ServiceNow, Jira, BitBucket.

Client: Marsh McLennan, LA, California. Aug 2018 to Jun 2020

Role: DevOps Engineer

Responsibilities:

Utilized AWS Data Services (CloudFormation, Terraform, EMR, Glue, RDS, S3, EC2, Redshift) Skilled in managing and data infrastructure services.

Active participation in stakeholder planning, design sessions, sprint zero, and stand-ups.

Proficiency in Infrastructure automation through Scripting using Python, JavaScript, AngularJS, Apigee, Linux, and PowerShell, JAVA, CloudFormation, Terraform, facilitating streamlined operations and deployments.

Used MySQL, SQL, NoSql, DynamoDB, Dimensional, Snowflake, RDS and elastic cache to perform basic Data Base administration.

Experienced in Infrastructure as Code (IaC) using CloudFormation & Terraform templates, YAML files, build specifications.

Hands on experience with Jenkins, Git (bit bucket), CD/CD Pipeline and Code deployment guide for Developers, Testers, and Production Management. Worked in Big Data, Spark, Hadoop, and Hive.

Managed to develop a Continuous Deployment/Continuous Integration (CI/CD) environment using GIT, Bitbucket, Jenkins, Chef, Maven, and Docker to complete automation from commit to deployment.

I worked as In SOAP and REST APIs to support integration of infrastructure, cloud, and platform as a service technology.

Hands on experience with Writing code and build pipelines, with Software Engineering teams on automating deployments, integrations to IAAS, PAAS, and SAAS, which include Open stack, Docker and OpenShift.

Expert in Kubernetes as well as one or more of the following technologies: Portworx, JFrog Artifactory, HashiCorp Vault, Rancher, Tigera Calico Enterprise

Worked on managing DNS zones using Route 53 and gave public DNS names to elastic load - balancers.

Worked on JIRA with Jenkins to automate the weekly build process. Used JIRA workflows to automate deployment and issue tracking.

Managed Helm Charts for applications using Helm.

Worked on creating Docker Containers and Docker registry for managing the application life cycle.

Developed Docker containers for testing the selenium scripts for the admin console and successfully integrated the automated tests on Docker for performing Continuous Integration.

Experience in using Cloud Formation templates to provision and auto deploy EC2instances and integrated with Chef Recipes to deploy web services.

Worked on Docker container snapshots, attaching to a running container, removing images, and managing containers.

Environment: Azure, J2EE, TFS, JBoss Application Server, Docker, Kubernetes, Open-Stack, Subversion, Jenkins, GIT, Maven, Make Files, CMake, Ant, Chef, Tomcat, Apache, Linux Application Server (WAS), LDAP, Web services, CloudWatch logs, Web Logic, Quality Centre, Nagios, Splunk, Apigee, Terraform, JavaScript, Node.js, AngularJS, GitHub, Python, API development, CI/CD pipelines, Docker, Linux, Windows, .NET core, Apigee Hybrid, Anthos, Datadog.

Client: GM, Milford, MI. Sep 2016 to Jul 2018

Role: DevOps Engineer

Responsibilities:

Through my efforts, I streamlined the onboarding process for innovation teams, simplifying infra resource provisioning.

I work on a system analysis team to establish a build schedule, provide a guideline for deployment in higher environments and with troubleshooting build system failures.

Gained experience across various IT domains including server and network management (both voice and data), messaging/collaboration, mainframe operations, architecture, storage/backup, applied engineering, and application engineering.

Experience in troubleshooting complex problems using native AWS services such as CloudWatch, CloudTrail, VPC Flowlogs, and Server Access logs.

Worked in Migrating New Projects to Jenkins and assisted developers to refactoring Maven Pom.xml to use Artifactory.

I was responsible for developing and maintaining CI/CD pipelines and maintaining Jenkins pipelines, and GitHub Actions for the SDV platform. Additionally, I managed cloud infrastructure across all instances used in GM China, building innovative tools to enhance efficiency in infrastructure provisioning and troubleshooting.

I designed and implemented a monitoring/alerting solution tailored to meet in-country needs and operated toolchains to support solution development activities, with a strong focus on automated provisioning. My expertise also extends to designing, implementing, and maintaining infrastructure as code using tools like Terraform.

I developed and maintained CI/CD pipelines for the local cloud, adhering to SoTD policies and open standards in the cloud-native area. My responsibilities included ensuring the high availability, scalability, and security of system infrastructure on Azure China and other local cloud instances.

Utilized the Libcurl library within Linux environments to handle URL transfers, supporting various protocols such as HTTP, HTTPS, FTP, and more.

Moreover, I developed and implemented disaster recovery and business continuity plans, proposing improvements to infrastructure, CI/CD pipelines, and monitoring tools. This initiative significantly improved the speed and quality of software deliveries, demonstrating my commitment to excellence and innovation in cloud infrastructure management.

Responsible for creating Puppet modules and manifest files from scratch and experience in editing existing Puppet manifests and automated manual installation process using Puppet.

Integration with SonarQube for code coverage, Selenium for automatic tests.

Responsible for CI/CD process implementation using Jenkins and Puppet along with Shell Scripts to automate routine jobs.

Major focus on Configuration, SCM, Build/Release Management, Infrastructure as a code (IAC) and AWS DevOps operations Production and cross platform environments.

Environment: Git, Subversion, Maven, Make files, CMake Ant, Gradle, Jenkins, Chef, Puppet, KSH, Bash, AWK, PowerShell, Jira, CESAR/BladeLogic, Prometheus, Grafana, AWS Services, EC2, S3, VPC, ECR, RDS, Terraform, IAM.

Client: Nucleus Software, India. Nov 2013—Mar 2016

Role: Linux Administrator

Responsibilities:

Implemented monitoring for network, server, database, storage, Application and VMware environment using relevant modules for Solar Winds.

Setup TDE for data encryption. Setup of OVD to support single sign-on. Migration of EDW database from 11g running on AIX to Exudate Full Rack X5.

DBA installing, updating, and configuring MySQL, SQL/PLSQL, PostgreSQL.

Install, configure, and support data and voice infrastructure, including local area network (LAN), wide area network (WAN), wireless, microwave, and other network components.

Use IPSLA to Expand Solar Winds WAN/LAN monitoring, reporting, and alerting.

Extensive knowledge of troubleshooting and configuring of Linux Ethernet Bonding and creating of Ethernet.

Part of L2/L3 Support team for maintaining and configuring Linux network services like DNS, FTP, SFTP, SCP.

Install, configure, and maintain Internet gateway security systems, such as firewall, VPN concentrators, anti-virus, and anti-spam devices and services.

Racking and installation and stack servers and equipment in growing Data Center archives of files and folders.

Creating and managing virtual machines, installation of VM Tools.

Experience in Server Administration (Windows, IIS, Linux, UNIX, Solaris) and Server administration tools.

Automated build and deployment using Jenkins to reduce human error and speed up production processes.

Environments: Oracle on Red hat Linux, Samba, Squid, Red Hat Linux AS 4/5, Solaris 9/10, Linux Enterprise Desktop, SUSE Linux Enterprise Server, Red Hat and Solaris, LDAP.

Contact this candidate