Our Customer Our customer develops a digital employee experience platform that monitors endpoint and virtual desktop performance for enterprise organizations. The platform handles millions of events per minute across an international customer base. Your Tasks
Build production-grade Java services and high-throughput data-processing components Develop, optimize and maintain large-scale Kafka and Apache Flink streaming pipelines Integrate data from multiple products into a unified organizational data model Implement employee, department, device and RBAC-related functionality Build services and APIs using Java, TypeScript, gRPC and Protobuf Design and optimize persistence on PostgreSQL, ClickHouse and Redis, including schemas, indexes and data-access patterns Improve scalability, reliability, throughput, latency, observability and operational cost Diagnose production bottlenecks across distributed pipelines, services and databases Develop TypeScript and React frontend capabilities when needed Collaborate with architecture, product and DevOps teams Use AI-assisted and agentic development tools while maintaining correctness, security and code quality Required Experience And Skills
6+ years of experience building and maintaining production distributed, high-throughput systems 5+ years of professional Java experience, including concurrency, memory management and JVM performance tuning 3+ years of hands‑on production experience with Apache Kafka, including partitioning, consumer groups, schemas, delivery guarantees, fault tolerance and throughput tuning 2+ years of hands‑on production experience with Apache Flink, including stateful processing, windowing, checkpointing, state management, backpressure and fault recovery Proven track record of personally building, scaling and operating systems processing millions of events per minute Deep understanding of time‑series and large‑scale analytical databases, including modeling, ingestion, query tuning and partitioning Hands‑on experience with PostgreSQL or another relational database Strong command of Protobuf, including schema evolution and compatibility Working knowledge of gRPC and service‑to‑service communication Hands‑on experience deploying, monitoring and troubleshooting distributed workloads on Kubernetes Hands‑on experience with Docker and CI/CD pipelines Solid understanding of production observability and incident resolution Hands‑on use of AI‑assisted and agentic coding tools in production, including critical review of generated code Proven ability to deliver independently, make architectural tradeoffs and identify risks early Strong communication skills for explaining technical decisions and working with international teams English -- Upper-Intermediate Would Be a Plus Hands‑on experience with ClickHouse Hands‑on experience with Redis Hands‑on experience with TypeScript and React
Senior/Lead Data Engineer in Warsaw – pracodawca: Who is Hiring
intive to doskonały pracodawca, który oferuje dynamiczne środowisko pracy w globalnym zespole technologicznym. Nasza kultura opiera się na innowacyjności i współpracy, co sprzyja rozwojowi zawodowemu pracowników. Oferujemy atrakcyjne benefity oraz możliwości szkoleń, które wspierają rozwój umiejętności w obszarze nowoczesnych technologii.
