• Spearheaded the development, setup, and deployment of Azure Kubernetes Service (AKS) across the organization, utilized Helm, Jenkins, and Spinnaker for seamless integration and efficient deployment.• Provided expert administration and support for AWS EKS, ensured optimal performance and reliability as a peer administrator.• Led AWS administration, optimized cloud infrastructure to support organizational objectives.• Executed Azure administration tasks specifically focused on AKS development, enhanced deployment capabilities and streamlined operations.• Managed EKS deployment strategies using Helm, Jenkins, and Spinnaker, facilitated smooth and reliable application roll-out.• Acquired foundational knowledge of RedHat OpenShift, leveraged limited information to support organizational initiatives effectively.

• Led the creation and management of the EKS stack, ensured robust and scalable infrastructure.• Implemented AWS administration tasks utilizing automation tools, particularly Terraform, to streamline operations and optimize resource utilization.• Spearheaded EKS deployment methodologies, leveraged Helm, Jenkins, and Sops for efficient and reliable application roll-out.• Integrated and managed data tools such as Snowflake, Debezium, and Kafka-connectors, enhanced data processing capabilities and drove insights for informed decision-making.

• Spearheaded the generation of LDAP and executed VPN implementation using Webmin, ensured secure access and streamlined authentication processes.• Designed, implemented, and maintained deployment automation from code check-in to production, managed all features in the Continuous Integration Platform and operational activities within the DevOps Systems utilizing Jenkins

SHL brings powerful and transparent AI technology, data science, and objectivity to help companies attract, develop, and grow the workforce they need to succeed in the digital era.What I did -• Managed & created infra using CloudFormation.• More Terraforming & Ansible.• Serverless deployment using AWS Lambda’s & CloudFormation templating for Infra creation.Worked on 2 core projects as a techincal lead -# VACDC -Whole stack is based on serverless & We are using cloudformation to deploy. All the process is automated, We are using Bamboo as our primary CI/CD server. All the access for the project is managed through bamboo.spec file.# Migration of Aspiring Minds ( On-Going ) :* Playbooks are being created & Packer will be used to create AMI's.* Spin off instance using Bamboo using the latest AMI.

# What I did :-# Re-Structure the ‘Backup’ DB-Systems :o Ensuring daily ‘Production DB Backups’ & Further restoring the backups to ‘18 Staging DB’ servers.o Custom scripts were written & proper ‘Crontab’ management was done to ensure proper operation of the system.# Moved legacy ActiveMQ to AmazonMQ :o Most important task was to understand how the legacy system was constructed in AWS – It took some good 3 weeks to understand every single ‘Key:Value’ pairs in ‘.xml.o Custom ‘.xml’ configuration was written to create active/standby broker system also ensuring we have DL queues to transfer topics which keeps on rotating in the Broker.o We make sure, That we enough bandwidth to store messages on the ‘Queues’ and further to ‘Consumers’# Infrastructure deployment – Terraform, Ansible, Packer.# Setup the complete monitoring infrastructure for CLARK, All automated.o Monitoring was setup to capture data from ‘CloudWatch’ into ‘Prometheus’ & consequently to ‘Grafana’ dashboarding.• Completely custom written manifests were created to develop custom monitoring solution for the entire CLARK infrastructure.o Stack was based out on ‘Prometheus & Grafana & KeyCloak’ – All was custom written, Nothing ‘Copied & Pasted’o 1 Master ‘Prometheus’ /scraping data from 3 different ‘Prometheus’ /scrape configs deployed on 3 different ‘Kubernetes Clusters’o Custom ‘Alertmanager configs’ were created for monitoring pipeline to transfer alerts to ‘PagerDuty’o Exporters were created to get data from ‘CloudWatch’ into ‘Prometheus’ & consequently to ‘Grafana’ dash-boarding – All automated.o Custom designed ‘Grafana Dashboarding’ to get what we need.o Special attention was focused to deploy the application by using ‘Immutable Infrastructure’, i:e –♣ Packer♣ Terraform♣ Ansible♣ Custom alertmanager configs♣ Custom Service definitions

# Some personal projects within G4S some of which are under testing phase.• Virtual Private Network for secure access using OpenVPN ( Testing ).• Splunk for data analysis & metrics – Later moved to ELK as a free product.• Ansible for configuration management• Monitoring of all the enterprise application using Nagios ( Prod ), Datadog ( Testing ), Solarwinds N-Central ( Production )• Google Cloud Security implementation & IAM Policy redesigning.

What we did :• Design & implemented patch management –◦ “Spacewalk” was our primary tool to patch 1000+ Boxes on Google-Cloud. It was difficult to hold the tool & We had to create manual scripts to stabilize the product. If you search this on Google on Red-Hat mail, You will find me - https://www.mail-archive.com/spacewalk-list@redhat.com/• Designed Hybrid-Cloud VPC for G4S -◦ VPC creation for production & various other domains using best of the cloud techniques was performed by studying various AWS | Google Cloud techniques. We wanted something, Wherein we had a mixed approach for Public / Private interfaces in cloud with 4 VPC within a Google Project supporting DR Environment along with Production.• Complete ownership of Infrastructure –◦ We are the owners – Starting from raising a Google Enterprise support ticket till the last instance created for the day.• Sole ownership of Atlassian product line –◦ Most challenging task was to handle the Degraded “Single-sign-on” Auth-Services between Atlassian products while performing upgrades from version-TO-version. Our Atlassian line is hosted on on-premises Google Cloud, We have to find the approach wherein our Atlassian line is always uptodate.• Implementation of best of the class open source technologies –◦ From Nginx as reverse proxy for Tomcat, Jboss and various applications & Hardening of linux OSFor PCI compliance environment.• Redefining firewall configuration throughout infra -• Terraform for infrastructure as code –• Docker, Kubernetes and lxc containers.Environment: Ansible,Kubernetes,Chef,SaltStack,Linux, Microservices architecture ,Redhat, Centos, Debian, Ubuntu,Google Cloud, AWS Cloud, VPC, Terraform, Kubernetes, MySQL, MongoDB ,Redis, OpenVPN, Load Balancers , Autoscaling, Newrelic, Tomcat, JBoss ,Nagios, Icinga2, StackDriver, Jenkins, Nginx, security hardening, Spacewalk Patch Management , Docker, Bash and Python, ELK, Postfix.

What we did :• Cirrus Cloud from Snapdeal – ◦ Created by best in class engineers – It is the world’s biggest 6th open-source cloud& I was really lucky to be a SMALL part of it. We are completely build out on Red-Hat proprietaryOpenstack. Along with it, We used HashiCorp Terraform to create seamless infra.http://engineering.snapdeal.com/snapdeal-launches-its-own-cloud-snapdeal-cirrus-201609/http://engineering.snapdeal.com/hybrid-cloud-a-path-between-the-seas-201609/• Migration of 3500+ Servers from AWS to on-premises cloud –• Creation of complete QA environment using Saltstack & Various manual efforts.• 24*7 Site Engineering on-call support.Responsibilities:• Write jobs to automate deployment process for staging and QA.• Production servers' security, tuning, application health.• Debug server wide and application issues for production .• Use Cloudwatch and Newrelic for application and server monitoring.• Regular tasks include monitoring of server, Backing up File data and database, Provide support to Developers in resolving their system related hardware and software issues.Environment: Linux,EC2,RDS,S3,Cloudfront,HTTPD, Nginx, MySQL, SES,Route53, Sendmail, Postfix, Subversion, Git,MaxCDN, RDS, Cloudfront, Capistrano, Mongo DB, LDAP, Tomcat server, Apache Solr, Redis, Memcache .etc.

Primary KRA consist of following activities :-• Deployment of Production Builds to improve Application & Visual performance.• Production scenario problem solving skills involving various servers, Services on different OS platforms.• Shell/Bash/Python scripting experience, Automation techniques for pace deployment of code across various SDLC regions.• Chef-Knife, Puppet, Octopus-Deploy.• Responsible for evaluating, defining, gathering, testing and delivering Windows & Linux platform solutions.• Research and develop technical solutions to support and optimize client/server/infrastructure technology.• Provide support to the systems infrastructure, trading applications, and database teams by diagnosing system problems, recommending solutions, and implementing initiative.• Responsible to provide monitoring and support to resolve production incidents.• Responsible to monitor and check alert for Virtual Machines for any issues.• Responsible to create the Root Cause Analysis Report for any incident and take preventive actions.Environment: Linux,EC2,RDS,S3,Cloudfront,IIS,Splunk,Windows-2008R2,Microsoft SQL Server,DataDog,NewRelic,Zabbix,VMWare,Patching,SILO,Jenkins,AWS,Octopus Deploy,Git,etc.

* Hadoop installation.* HDFS Configuration & Management.* Optimization of overall Hadoop architecture & Datanodes.* Creation of new nodes clusters.* NOC monitoring.* Nagios, Solar-Winds, Opsview, Foglight (Admin), Linux server Monitoring.

* Network monitoring on infrastucture through solarwinds.* Application Server monitoring & troubleshotting through: Nagios, Opsview & Foglight.* Responcibility of taking affermitive action on P1 & P2 scenario.* Opening of call with the client for quality assurance.