Mar 2021 – Jul 2022 · 1 yr 4 mos

May 2018 – Mar 2021 · 2 yrs 10 mos

• Worked in pipelines team and the team handling the development and ITE, working on both windows and linux systems. Helped in developing an automated pipeline flow with git triggers and automated jenkins job creation and access, where the slaves of jenkins were integrated with kubernetes, both self managed and on AKS.
• Worked with different technologies, such as consul and haproxy, for service registration and traffic management and allowing for different types of deployment models.
• Worked on multiple RCAs to find and improve upon the current setup and processes.
• Worked on optimisations of responses in the range of 10ms working with docker containers and dotnet-core applications.
• Working on cost saving initiatives for application deployments and related components.
• Worked on different types of databases and associated tools for SQL and NoSQL databases along with kafka.
• Worked with a limited scope on AD and DNS on the windows servers.

Jul 2017 – Apr 2018 · 9 mos · Noida, Uttar Pradesh, India

• Worked in DevOps and responsible for handling the infrastructure, starting from building the artifact for deployment to actual deployment on the Kubernetes cluster. Actively participate in discussions relating to the mentioned flow.
• Roles and responsibilities:
• Ensure a functioning saltstack setup for configuration management.
• > Create and maintain salt formulas, for example, formulas for users access( with and without password), configuring NoSQL databases such as Elasticsearch, creating a base image for AMI, etc.
• > Ensure a functioning salt setup.
• Ensure a functioning kubernetes cluster using docker containers.
• > Setup of kubernetes cluster consisting of the control plane elements; Scheduler, Controller-Manager and API-Server; and the data plane elements; Kubelet and Kube-proxy along with docker engine.
• > Maintaining the cluster along with debugging, if required.
• Explore new tools and deploy to production, for eg, Kong and Jaeger.
• > Kong: is an opensource API-Gateway implementation with a pluggable stack.
• > Jaeger: is a tracing tool developed by Uber with inspiration from zipkin.
• Design a new Jenkins setup using a centralised kubernetes cluster, to deploy to different environments which are running on kubernetes.

Jan 2017 – Jul 2017 · 6 mos · Gurugram, Haryana, India

• Worked in DevOps and was responsible for handling the infrastructure from development to production using tools like Saltstack, Chef, Jenkins. Also responsible for the near realtime centralised logging pipeline (EFK pipeline) using Elasticsearch, Fluentd, Kibana, Kafka.
• Roles and Responsibilities:
• > Automation using salt and python:
• ● Installation and setup of Elasticsearch cluster depending on the machine config
• ● Installation of Fluentd on servers along with the required config file.
• ● Installation of elastalert, a tool for alerting by querying ElasticSearch
• ● Verification of sync in hosts in Openstack, Salt and other concerned services.
• > Setup and run the logging pipeline, which includes setting up clusters for Kafka and Elasticsearch, along with Kibana, and log tailing tool Fluentd.
• > Tool for Developers/QA to request for access to the access controlled chef-databags, including automated JIRA creation and assignment.
• > Live migration of elasticsearch clusters for the services in AWS to Snapdeal cloud (Cirrus)
• > Automation of day-to-day tasks to reduce manual effort.
• > App/Server monitoring using tools Kibana(EFK), Icinga, Grafana.

Aug 2016 – Jan 2017 · 5 mos · Gurugram, Haryana, India