-> 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.-> Setting up the complete Kubernetes Dev Environment from scratch to deploy latest tools which is related to Deep learning and machine learning using helm charts on premises BareMetal for different teams.->Configured V-net integration, Active directory, Encryption and security on Azure using ARM templates and Shell scripts.->Worked on CLI by controller, destination, identity to Linkered proxy->Maintain and configure MongoDB instances, database setup and architecture, Write procedures for backup and disaster recovery->Ensure that the databases achieve maximum performance and availability, Design indexing strategies for MongoDB->Configure, monitor, and deploy replica sets, Upgrade databases through patches, create roles and users and set their permissions for MongoDB->Used Cloud shell SDK in GCP to configure the services Data Proc, Storage, BigQuery->Used Chef for configuration management of hosted instances within GCP, Configuring and Networking of virtual private cloud.->Set-up databases in GCP using RDS, storage using S3 bucket and configuring instance backups to S3 bucket.-> Daily monitoring production servers using Grafana and Prometheus which is integrated with Kubernetes, exceptions and report to the team if sc standups.

->Worked as SRE and implemented best practices and pillars of googles model SLO, SLA and SLI->Minimize host OS footprint (reduce attack surface), Minimize IAM roles, minimize external access to the network, appropriately use kernel hardening tools such as AppArmor, seccomp->Setup appropriate OS level security domains e.g. using PSP, OPA, security contexts, Manage Kubernetes secrets, use container runtime sandboxes in multi-tenant environments (e.g. gvisor, kata containers), Implement pod to pod encryption by use of mTLS->Minimize base image footprint, secure your supply chain: whitelist allowed registries, sign and validate images, Use static analysis of user workloads (e.g. Kubernetes resources, Docker files)
Scan images for known vulnerabilities.->Experience with automation/configuration management using Puppet, Ansible or equivalent->Experience of service infrastructure design – ideally in high volume consumer facing environments. eg CloudFormation, VPC

->Designing a process for pro-automation using Jenkins in all the application environments and making sure it follows all the standard procedures of the Application SECDM or SDLC.->Coordinate release activities with Project Management, QA, Release Management and Web Development teams to ensure a smooth and trouble-free rollout of releases.-> Hands-on experience with Continuous Integration and Continuous deployment using the tools Jenkins, Chef, Gitlab, and Docker.-> Performed all necessary day-to-day Subversion/GitLab support for different projects and Responsible for design and maintenance of the Subversion/GIT Repositories, views, and the access control strategies.->Setup up and maintenance of automated environment using Chef Recipes& cookbooks within AWS environment. -> Maintaining the infrastructure (servers for different data centers) using Amazon Web Services [AWS].-> Set up a system for dynamically adding and removing web services from a server using Docker, Nginx, and GitLab CI.

->Building CI/CD pipeline automation in Jenkins with scripting languages such as groovy and python.->Create and Implement automation in the form of infrastructure as code for cloud platform solutions using Cloud formation templates.->Worked on architecting and implementing cloud based solutions with robust business continuity and Disaster->Involved in designing and deploying multitude applications utilising 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

->Build and Release Engineer for multiple project teams that involved different development teams and multiple simultaneous software releases.->Provided design and engineering support towards the succesfull delivery of IT's cloud project portfolio.->Participated in deep architectural discussions to ensure solutions are designed for successfull deployment.