Full Stack Node.js Engineer

Matrix Eastern Europe, the offshore division of Matrix IT, one of the leading global R&D services companies with more than 11,000 professionals, is looking for a NodeJS Developer to join one of our teams! Our client is hiring a Senior Full-Stack Engineer who is strongly backend-leaning (≈80–85% backend) to work on high-scale backend pipelines and data-heavy systems. The ideal engineer has proven experience building production-grade ingestion and processing systems, making architecture decisions based on real data volumes, and operating reliably in Kubernetes/AWS environments. Occasional frontend work exists (small UI tasks/new pages), but the core of the job is backend systems design and implementation. Daily tasks: - Backend Pipelines & Data Processing - • Build and maintain backend pipelines that consume data from Kafka, apply business logic/ETL, and produce - reliable outputs at scale. - • Implement and optimize event-driven architectures (producers/consumers, streaming patterns, batching where - relevant). - • Design systems around high volume / high throughput requirements (autoscaling, high availability, resilience). - Database & Performance (Postgres-heavy) - • Own data modeling and performance work in PostgreSQL: query tuning, indexing strategies, schema design, - troubleshooting slow queries. - • Work with additional data stores as needed (e.g., Redis) based on system needs. - Full-Stack Contribution (light frontend) - • Contribute occasionally to frontend needs in React (new pages, small UI fixes). - Production Engineering - • Build/operate services in a true production environment: - ◦ observability (logs/metrics/tracing), debugging, reliability improvements - ◦ performance profiling and bottleneck analysis Backend & Architecture • TypeScript + Node.js (production experience) • NestJS (strong preference, used as the main backend framework) • Strong experience designing backend systems at high scale: ◦ autoscaling, HA, performance, resilience, failure modes • Strong knowledge of event-driven systems: ◦ Kafka-based ingestion/streaming, producers/consumers, pipelines, batching concepts Data Stores • PostgreSQL / SQL proficiency (deep skills required: schema modeling, query optimization) • Kafka (hands-on experience strongly preferred) • Redis (working knowledge) Infrastructure • Experience working in AWS + Kubernetes environments (production familiarity expected) Observability • Practical experience with logs, metrics, tracing to monitor and debug production systems. Nice-to-Have • Security domain familiarity (application security / runtime protection / vulnerability management) — advantage, not mandatory • Prior work in data-intensive security platforms or similar high-scale systems AI tooling Strongly encourages AI-assisted development (primarily Claude; some Cursor). • Automation and AI-supported workflows in place (including AI-assisted code review); values engineers who can work effectively in that environment Must have: Node.js, React, Kafka, Nest.js