What Will I Be Doing?

Our flagship product, ReaQta-Hive, is responsible for collecting, analyzing, and displaying data from the endpoints we protect. We’re looking for an ambitious Scala Lead to develop and maintain the backend of ReaQta-Hive. As our Scala Lead, you’ll have a hand in all parts of the product lifecycle, from its development to its deployment, testing, and release. You’ll help ship a high-throughput, scalable platform capable hundred of thousands of simultaneous connections.

Here are some of the responsibilities we expect from this role:

• Lead the team towards product milestones
• Define tasks and plan which features to add or enhance
• Keep track of the team’s performance
• Peer review code and pair with your colleagues
• Ensure product stability at scale
• Improve throughput and scalability (both vertical and horizontal)
• Test the application in a continuous integration environment (Jenkins, Git, Docker, Ansible, Artifactory, etc)
• Add new services when appropriate

Our backend technology stack includes: akka, akka-streams, akka-persistence, cassandra, elasticsearch, rabbitmq, python, nginx/nchan

Required Skills

• At least 5 years experience building backend services
• Experience leading a team of expert developers
• Experience in a high-growth and dynamic environment
• Experience planning development work and reporting its progress
• Experience with NoSQL databases (preferably Cassandra and Elasticsearch)
• Ability to cross-communicate in order to synchronize development efforts with other teams
• Fluency in at least one other programming language other than Scala
• Understanding of reactive systems and frameworks (e.g. rx, akka-streams)
• Production experience with akka and akka-cluster
• Experience bringing backend services into production (devops, testing, release management, deployment, etc)

Appreciated But Not Required

Familiarity with the following is not required for the role, but could prove useful:

• Distributed services
• Python programming
• Functional programming concepts and paradigms
• Elasticsearch tuning and advanced querying
• Linux OS monitoring and tuning
• JVM monitoring and tuning
• Devops with Docker and Ansible
• Machine learning techniques and tools