Big Data Engineer

Job Description
Runtime Infrastructure : Docker, Kubernetes, Lambdas
Storage Systems : DynamoDB, MongoDB, Redis, Hadoop, Memcached
Messaging : Kafka, Rsyslog, Logstash, Splunk
Programming/Scripting : Java / Jetty, Python, Scala, PowerShell, C#, Bash
Build Tools/Repositories : Jenkins, Artifactory
Web Services Framework: Django, Flask
API Framework: Gunicorn
5+ years of relevant experience focused on Support Engineering, TechOps, DevOps, systems administration, application development, build, release and deployment
Experience deploying systems with Kubernets, Docker, or Azure Containers
Automation experience with ScienceLogic or Ansible
Some experience with monitoring and anomaly detection systems
Hands-on experience on monitoring tools such as New Relic, Splunk, SignalFx, Solarwinds, etc.
Well versed with ITIL concepts (Event, Incident, Knowledge, Change, Problem Management)
Familiarity with Chatbots such as Slackbot
End user knowledge on ITSM tools such as ServiceNow

Thanks

Arjun