Design, build, and scale data infrastructure and advanced processing pipelines that power real-time insights and intelligent automation across the platform
Own the full service lifecycle—from architecture and development to deployment, monitoring, and scaling
Ensure data quality, reliability, and compliance for production systems
Collaborate closely with backend, AI, and data teams to deliver robust, production-ready systems
Support the company's AI-first strategy and mission to make the workplace run itself
Requirements
5+ years of backend/data engineering experience
Proficiency with Java (Vert.x, Spring or similar) - a must
Hands-on experience with Kafka and streaming frameworks like Kafka Streams, Flink, Spark, or Beam - a must
Experience in Node.js (NestJS/Express) - a big advantage
Solid understanding of microservices architecture and cloud platforms (Azure/AWS/GCP)
Familiarity with AI-first development tools (GitHub Copilot, Cursor) – an advantage
Experience working in production-aware, observability-driven environments - monitoring troubleshooting, and optimizing
Knowledge of Postgres, Redis, MySQL or similar, Clickhouse
Strong foundation in object-oriented design, design patterns, and clean code practices
Comfortable designing, deploying, and maintaining backend services and data flows
Passion for learning, experimenting with new tech, and building reliable systems at scale
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