Role: Cloud Platform Support Engineer
Overview: Riversand Technologies is a Master Data Management (MDM) visionary and a Product Information Management (PIM) leader. We are a team of passionate people who are rethinking the way MDM and PIM work. We recently raised $35 million in series A funding and we are on a trajectory for an accelerated product innovation and growth over the next two years. If you are a Cloud Support Engineer looking to advance your career in the latest in cloud and open source technologies, then now is the best time to join Riversand. Our solutions power enterprises worldwide, in a variety of industries including Retail, Manufacturing, Distribution, Energy, Healthcare, and Food Services.
To be successful in this role, you must be extremely detail oriented, keen troubleshooting skills, ability to create and follow process documentation. If you can work efficiently in ensuring 24 X 7 uptime and communicate well with both the technical and non-technical staff, please don’t hesitate to apply below for this position.
Primary responsibilities include monitoring, troubleshooting/ correcting and ensuring 100% uptime of our cloud hosted application. Will also be responsible for operational tasks like bringing up new environments, deployment, handling authorization requests, cloud best practices, backup/DR etc.
The engineer will have to understand and debug/ correct the technology stack used - Elastic Search, Apache big data stack including Solr, Kafka, Zookeeper, Storm, Hbase, Hadoop, Spark and other infra components like Netty/ NGINX, Docker/ Docker swarm etc.
The engineer will need to have public cloud knowledge and experience on:
Azure: Vnet, VMs, Subscriptions, Resource groups, Storage accounts, Scale set, Azure functions, Event hub, Blob store, Azure ARM, Data bricks etc.
AWS: VPC, EC2, Load balancers, Auto scaling, EBS, Kinesis, S3, Lambda, CFT, CloudWatch
Will be working different shifts in a 24/7 roster plan and tracking against SLAs for different operations
Cloud: Cloud platform knowledge on Azure and AWS (Cloud formation scripting / Azure resource manage scripting etc.)
Scripting: Python, Bash or Ruby
Technology: ELK stack, Elastic, Hbase, Hadoop, Kafka/Zookeeper, Netty/ Nginx, Spark
(Two or more of these technologies)
Nice to have:
Monitoring: Any monitoring tool like Zabbix, Nagios, Sensu etc.
Container Orchestration: Docker or Kubernetes knowledge
Programming skills will be added advantage
Experience/ Background: 3-6 years, should have worked in a cloud support environment, should have current certifications in 2 or more of the related technologies/ stack
Qualification: BE/ BTech/ MCA