Backend Engineer

Quick Facts

• Backend engineering role focused on large-scale behavioral data and performance optimization
• Works primarily with Scala, Apache Kafka, Elasticsearch, ClickHouse, Kubernetes, and cloud environments (Azure and GCP)
• Observability is a first-class concern: distributed tracing, structured logging, and metrics

Description

You will develop backend architecture and software to process and store high-volume datasets, with a core focus on optimization and performance. The work includes translating complex functional and technical requirements into detailed designs, analyzing large data stores to uncover insights, and troubleshooting distributed systems.

Responsibilities

• Develop architecture and design patterns to process and store high-volume data sets
• Build performance-optimized backend software
• Translate complex functional and technical requirements into detailed design
• Analyze vast data stores to uncover insights

Requirements

• Programming skills in Scala or another JVM language
• Programming skills in Rust or willingness to learn
• Solid understanding of Kafka and Kubernetes
• Experience with at least one: Akka, ZIO, Cats
• Experience with SQL and NoSQL databases
• Hands-on experience using AI coding tools (e.g., Claude Code, Cursor, GitHub Copilot) as part of daily engineering work
• Capacity to plan and scale systems for rapid growth
• Excellent troubleshooting and debugging skills
• Passion for building tools and automating everything
• Strong analytical skills

Benefits

• Work on production-grade, large-scale systems used by enterprise customers worldwide
• Real technical challenges related to performance, data volume, and distributed systems
• Opportunities for continuous technical growth and deeper ownership over system design
• Support from experienced engineers and a strong engineering culture
• Influence on architectural and technical decisions within your team