Full-Stack (Java + Next.js) Engineer
Intetics · Ukraine
IT Services and IT Consulting · 501-1,000 employees
About the role
Develop the core backbone of an AI-powered logistics infrastructure platform using an event-driven, domain-driven backend and Next.js frontend. Engineers are responsible for architecture decisions and writing tests, acting as human-in-the-loop reviewers for AI-generated code.
What they look for
Requirements
Requires a full-stack engineer with production experience in DDD, CQRS, Saga, and Hexagonal patterns. Proficiency in Java, Kafka, PostgreSQL, and Next.js is essential, with no onboarding time provided for core architectural concepts.
Full description
Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Full-Stack Engineer to join our dynamic team on a full-time basis.
About the project:
Building a neutral, AI-powered logistics infrastructure platform (ZYYDER MESH) connecting shippers and carriers directly - covering quoting, booking, routing, tracking, invoicing, CO₂ reporting, and embedded financial services
We're hiring engineers to join the core team building the platform's backbone: an event-driven, domain-driven backend with a Next.js frontend.
This is not a "write code from a ticket" role. Development is AI-driven - engineers write tests and own architecture decisions; AI handles code generation in between, with the engineer as the human-in-the-loop reviewer.
Architecture & design patterns (this is the primary screen — technical stack comes second):
- Domain-Driven Design (DDD) — bounded contexts, aggregates, aggregate roots, value objects, domain events, ubiquitous language
- Hexagonal architecture (ports & adapters)
- CQRS (command/query responsibility segregation)
- Saga pattern (distributed transaction coordination)
- Outbox pattern (reliable event delivery)
- Event sourcing and eventual consistency at scale
- Designing for high throughput, strong and eventual consistency
Backend:
- Java (core language)
- Kafka (event streaming)
- PostgreSQL
- Redis
- Blob storage / S3
- Parquet, Delta files
- Serialization: Protobuf, Avro, JSON
- gRPC, REST
- CDC (Change Data Capture) via Debezium
Frontend:
- Next.js (backend-for-frontend pattern)
- JavaScript, TypeScript
- MUI (Material UI)
- Figma (design handoff)
- REST, JSON, Protobuf, gRPC integration from the frontend
- PostgreSQL (read-side familiarity)
What we're explicitly NOT looking for
- Engineers who know the tech stack but have never applied DDD/CQRS/Saga/Hexagonal patterns in production
- Candidates needing onboarding time to learn these concepts — there isn't time before the September start
- Pure backend or pure frontend specialists without full-stack range across this stack