Sr. Big Data DevOps Engineer (India) - R&D

Specialization: IT Software-Other,
Industry NA

5-plus years of DevOps experience managing the Big Data application stack including HDFS, YARN, Spark, Hive and Hbase

Deeper understanding of all the configurations required for installing and maintaining the infrastructure in the long run

Experience setting up high availability, configuring resource allocation, setting up capacity schedulers, handling data recovery tasks

Experience with middle-layer technologies including web servers (httpd, ningx), application servers (Jboss, Tomcat) and database systems (postgres, mysql)

Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.

Experience maintaining and hardening the infrastructure by regularly applying required security packages and patches

Experience supporting on-premise solutions as well as on AWS cloud

Experience working with and supporting Spark-based applications on YARN

Experience with one or more automation tools such as Ansible, Teraform, etc

Experience working with CI/CD tools like Jenkins and various test report and coverage plugins

Experience defining and automating the build, versioning and release processes for complex enterprise products

Experience supporting clients remotely and on-site

Experience working with and supporting Java- and Python-based tech stacks would be a plus

Desired Non-technical Requirements


Very strong communication skills both written and verbal

Strong desire to work with start-ups

Must be a team player

Job Perks


Attractive variable compensation package

Flexible working hours ? everything is results-oriented

Opportunity to work with an award-winning organization in the hottest space in tech ? artificial intelligence and advanced machine learning