Backend Engineer, Coralogix

• 5+ years of software development experience
• 3+ years of experience developing and operating distributed systems in production
• 2+ years of development experience with Scala
• Proven experience in building systems that are highly available and reliable through strong architectural practices, monitoring, and proactive incident management
• Hands-on experience with Data Streaming technologies, including Apache Kafka, Spark Streaming, KafkaStreams, or Apache Flink
• Proficiency in data modeling and designing systems to handle large-scale, distributed datasets efficiently
• Strong knowledge of distributed computing paradigms and principles, such as consistency, partitioning, and resilience
• B.Sc. in Computer Science or an equivalent field
• We’re seeking candidates who are hungry, humble, and smart. Coralogix fosters a culture of innovation and continuous learning, where team members are encouraged to challenge the status quo and contribute to our shared mission
• If you thrive in dynamic environments and are eager to shape the future of observability solutions, we’d love to hear from you

Desirable

• We are looking for a Backend Engineer to join a growing group
• Our Alerting backend powers real-time, streaming-based detection at massive scale, processing millions of events per second with millisecond latency to catch issues as they happen
• Built with a distributed, event-driven architecture, it supports complex pattern evaluation, dynamic enrichment, and fault-tolerant delivery for mission-critical observability
• Lead the design, development, and evolution of scalable, high-impact systems
• Own features end-to-end, ensuring predictable production behavior from design through deployment
• Solve complex technical challenges at scale using sound engineering principles and modern stream processing technologies
• Collaborate closely with engineers and product managers to continuously improve the product
• Drive both technical excellence and meaningful user outcomes
• Our Stack:
• Scala(ZIO), Kafka Streams / Akka Streams, Kafka, ElasticSearch, Redis, Kubernetes, AWS