Roles and Responsibilities
Perform Big Data cluster capacity planning Perform benchmarking on various Big data tools and technologies and articulate pros and cons Implement end to end Big Data cluster security thru Role based access control Implement batch orchestration using AirFlow Create application containers and orchestrate them using OpenShift/Kubernetes To be able to architect Big Data ,AI/ML solution in Cloud preferably Microsoft Azure Proficient and hands-on cloud native PaaS such as SQLDW, Stream Analytics, Appinsight and Azure Databricks Develops SHELL, PERL and PYTHON scripts to accomplish day to day system administration tasks and to support business application requirements
Desired Candidate Profile
Minimum 5 years as an Infrastructure DevOps or automation engineer Proficient in server side scripting Knowledge of DevOps capabilities such as Continuous Integration and Delivery (CI/CD), Automated Testing, etc. Knowledge on Terraform is must preferably in Azure Good exposure on Microservices architecture and their deployment in cloud world. (Especially Azure +Terraform) Should have worked on setting up & troubleshooting Kubernetes Clusters in Production ready environment Help teams in migration from monolithic application to Microservices using containerization solutions (Docker, Kubernetes) Worked on onboarding Microservices (Middleware/UI) components using DevOps technique & look for improvements 2 Prior experience in automating CI/CD process, platform services using open source tools
Interested candidates can share their profiles at va*******s@na***i.com
Regards
Vaishali
Naukri.com