RealNetworks’ Mobile Messaging team is looking for a Dev/Ops Engineer, contributing to the development of new products and services. This is a critical role in supporting the team’s ambitious new initiatives, responsible for developing and driving processes that ensure we achieve new product milestones and improve the way this team provides outstanding services to our customers. For over 15 years, RealNetworks’ Mobile Messaging products have been at the forefront of expanding the reach of mobile messaging connectivity throughout the world. Check us out at: www.realnetworks.com
Dev/Ops Engineer (m/ž)
As a full-time employee specializing in Operations/DevOps, you will play a critical role in supporting the team’s ambitious new initiatives through the successful and seamless delivery and deployment of new software for our customers. You will be responsible for developing and driving processes that ensure we achieve new product milestones and improve the way this team provides outstanding services to our customers.
In this role, you will:
Create, scale, and fine tune production Spark clusters and clusters for streaming frameworks on bare metal servers using tools such as Kafka and Flume;
Deploy, scale, and manage NoSQL clusters, using Cassandra;
Perform configuration management and application deployment using tools such as Chef, Puppet, and Ansible; and
Set up virtual machines, deployment images, and software container platforms using tools such as Docker.
Success in this role will require prior experience in the areas described above and
Experience in ZooKeeper;
Experience in monitoring and cluster management (e.g. resource monitoring, logging aggregation, etc.) such as experience with Ganglia; and
Good scripting abilities.
Experience in AWS deployment and management; experience using Vagrant and build systems; knowledge of Oracle Solaris; and experience in Java/Scala development will also be very valuable.
Our ideal candidate will also have experience designing and implementing complex MapReduce algorithms; experience in designing and architecting scalable NoSQL environments; and expertise in Spark Core, Spark Streaming, Spark SQL, and using Spark against NoSQL databases.