Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pz65u

We're seeking a backend engineer with deep expertise in data-intensive systems to build the enterprise knowledge graph, semantic search, and real-time data ingestion pipelines. This role focuses on Go services that process millions of documents, power hybrid search, and maintain graph relationships across enterprise data sources.

About the Role
This role focuses on building the enterprise knowledge graph, semantic search, and real-time data ingestion pipelines.

Responsibilities
- 4+ years of proven work experience building production data-intensive backend systems
- Production delivery of data pipelines, search systems, or graph databases at scale
- Any-to-Go migration experience — nice to have: must have rewritten or ported at least one production service from Python/Node/Java to Go
- Capable of building features end to end: requirements analysis, design, implementation, testing, observability
- Agentic development practitioner — uses AI coding tools (Claude Code, Cursor, Copilot) daily as a development multiplier

Required Skills
Go Programming




- Go — must code professionally (3+ years production)
- Table-driven tests, benchmarking, pprof profiling

Graph Databases
- DGraph or Neo4j — production experience with at least one, OR
- Strong graph theory background (BFS/DFS, shortest path, centrality, PageRank)
- Schema design for relationship-heavy domains (social graphs, knowledge graphs, org charts)
- Query optimization (DQL/Cypher performance, index strategies)

Search Engines
- Vespa, Elasticsearch, or Solr — production experience with at least one
- Hybrid search with embeddings preferred (BM25 + vector search, reranking)
- NATS JetStream, Kafka, or equivalent — production experience
- At-least-once, exactly-once delivery semantics

APIs & Testing
- gRPC / ConnectRPC with protobuf — must be a native workflow, not just REST
- Integration tests with real dependencies (not mocks)
- 88%+ coverage discipline enforced in CI
- Python — must read fluently (async, Pydan

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pz65u

📌 Knowledge Platform Engineer (Buenos Aires)
🏢 UCE Systems
📍 Buenos Aires