Experience in managing Large Scale Clusters, Capable of deploying & managing stateful and stateless services on Kubernetes. Experienced in writing custom kubernetes controllers for CRDs and Adminssion Controllers such as Mutating and Validating Webhooks.
Highly experienced with most of the major cloud provider such as AWS, Azure and GCP.
Experienced with multi-stage, multi-arch build process. Experience in Containerizing services
Using Python as one of the primary language for professional development. Capable of writing scalable, testable, and maintainable program.
Using as the main operating system. Capable of writing bash/shell scripts. Experience in tunning system config for optimal performance
Experienced with git-based development. Mostly, use Github. Also, have experience in working with GitLab and Azure DevOps
Experience managing authoritative DNS having more than 60,000 records including complex records and dual-dns setup for high availability
Experience with ArgoCD, Argo Rollout, Jenkins Blue Ocean, Rundeck, Code Deploy, Code Pipeline, GitLab CICD etc
Infrastructure as Code
Experience with Chef, Cloud Formation, Terraform, Terragrunt, Atlantis, Packer, Troposphere, Azure ARM, Helm, Kustomize
Application and Web Servers
Experience with managing large scale services having throughput of 1 million RPS using Apache Karaf, Tomcat, Jboss
Monitoring and Observability
Wide experience in developeing monitoring solution using Grafana, InfluxDB, Graphite, Telegraf, Wavefront, Prometheus, New Relic, Chart Beat, AppDynamics, Splunk, Wily, SiteScope, Cloud Watch, Nagios, Icinga, Check Point, Monit, OpenCencus with Azure Monitor, Jaeger, etc.
Database and NoSQL
Experience with RDBMS such as MySQL and NoSQL DB such as Aerospike, Mongo, Couchbase, Cassandra etc
CDN and Cache
Experience managing CDN provider such as Akamai, EdgeCast, Azure CDN, Cloudflare, Cloudfront, Alibaba and Quantil. Experience with Caching solution such as Varnish, MemCache, Redis and Aerospike
Experience designing system which solves large scale complex problems such as deployment at scale, monitoring at scale, mega scale cloud environment, either by writing custom solution or using available open-source tools and technologies. Focused on HA/DR, Fault Tolerance, auto-remediation and Capacity planning.