Module Lead

The Role
Build a high-throughput microservice that deduplicates IT asset records from dozens of discovery sources (Crowd Strike, Qualys, AWS, Service Now) into trusted golden records — entity resolution at 10K records/sec with 99.9% precision.
Youll own the full backend from Pub/Sub consumer through matching algorithms to Neo4j graph store and Graph

QL API. Small senior team, no layers.
What Youll Work OnMatching engine — blocking strategies, deterministic + probabilistic matching (Levenshtein, Jaro-Winkler, Soundex, N-gram), composite scoring, Union-Find clustering

Golden record management — survivorship rule engine, Neo4j graph merges, provenance tracking, unmerge operations.
Stewardship API — Graph

QL mutations for manual review, RBAC-protected merge/reject/override workflows

Dual-database architecture — Neo4j for entity graph, Postgre

SQL for immutable audit log
Must Have Go — concurrency (worker pools, channels, fan-out/fan-in), pprof, benchmarks
Google Cloud — GKE deployment, Pub/Sub (pull subscriptions, ordering keys, DLQ)
Neo4j / Cypher — graph modeling, node/relationship CRUD, Go driver, transactions

Graph

QL — schema design, resolvers (gqlgen),
Security — TLS 1.2+, AES-256, multi-tenant isolation ( scoping), RBACTesting — table-driven tests, testcontainers (Neo4j, PG), precision/recall validation
Good to Have
Postgre

SQL (JSONB, partitioning)
· gRPC/Protobuf
· Prometheus/Grafana
· Kubernetes/Helm
· Terraform
· string similarity algorithms
· entity resolution or MDM domain experience
· AI-assisted development (we use Claude across the team)