A modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on expensive indexing or hot storage. We specialize in comprehensive monitoring of logs, metrics, trace and security events with features such as APM, RUM, SIEM, Kubernetes monitoring and more, all enhancing operational efficiency and reducing observability spend by up to 70%.
We are looking for a Backend Engineer to join a growing team!
Our Stack:
Scala, Node.js
Kafka Streams / Akka Streams
Spark
Kafka, ElasticSearch, Redis
Kubernetes
AWS
What You'll Do:
End-to-end development and ownership of our products and features, from design to scalable and predictable production behavior.
Solve diverse complex problems of high scale
Collaborate with other engineers and product managers in order to improve our products
Review code, architecture, and data to identify and troubleshoot problems
We are looking for a Backend Engineer to join a growing team!
Our Stack:
Scala, Node.js
Kafka Streams / Akka Streams
Spark
Kafka, ElasticSearch, Redis
Kubernetes
AWS
What You'll Do:
End-to-end development and ownership of our products and features, from design to scalable and predictable production behavior.
Solve diverse complex problems of high scale
Collaborate with other engineers and product managers in order to improve our products
Review code, architecture, and data to identify and troubleshoot problems
Requirements:
5+ years of development experience
Hands-on experience with Data Streaming technologies: Apache Kafka / Spark Streaming / KafkaStreams / Apache Flink
Experience in Scala or another jvm language (Java, Kotlin, etc)
B.Sc. in computer science or an equivalent
Experience in data modeling
Advantage:
Knowledge in JVM or rockdb optimizations and tuning
Production experience in a SaaS environment – Metrics, Logging, Troubleshooting production systems
Experience with at least one major cloud provider – AWS, Azure, or GCP
Experience with Kubernetes and Docker containers
5+ years of development experience
Hands-on experience with Data Streaming technologies: Apache Kafka / Spark Streaming / KafkaStreams / Apache Flink
Experience in Scala or another jvm language (Java, Kotlin, etc)
B.Sc. in computer science or an equivalent
Experience in data modeling
Advantage:
Knowledge in JVM or rockdb optimizations and tuning
Production experience in a SaaS environment – Metrics, Logging, Troubleshooting production systems
Experience with at least one major cloud provider – AWS, Azure, or GCP
Experience with Kubernetes and Docker containers
This position is open to all candidates.
