SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Baselayer is rebuilding the identity infrastructure layer for American business banking. The company has built the most complete business graph in America—fusing public records, IRS data, sanctions lists, web signals, and fraud telemetry from 2,200+ financial institutions—achieving 98% match rates in under two years, compared to legacy credit bureaus' 60% over 50 years. Trusted by over 20% of US financial institutions including FIS, Rho, and Socure, the graph now powers fraud detection, KYB onboarding, portfolio monitoring, sanctions screening, and customer-facing API products.
You'll join a small, high-ownership engineering team solving real-time entity resolution at unprecedented scale. The role owns product features end-to-end across the identity graph surface: schema design, data ingestion pipelines, entity resolution and linking systems, customer-facing APIs, multi-tenancy and access control, and performance optimization under production load.
Key responsibilities include: ingesting and normalizing heterogeneous public records into the graph (ingestion to normalizer to repository to API); building entity resolution systems that match businesses and people across sources with mismatched keys, misspellings, and varied address formats; designing and shipping customer-facing APIs for search, lookup, monitoring, and webhook delivery; owning schema design and zero-downtime migrations on a 24/7 hot database; optimizing performance and scale for 10x volume growth; and building multi-tenant access control scoped at the data layer.
Minimum requirements: shipped end-to-end product features in production; owned a Postgres schema supporting real money or decisions; strong async Python at scale; deep Postgres expertise (schema design under live load, EXPLAIN ANALYZE, zero-downtime migrations); FastAPI or equivalent (auth, OpenAPI, structured models); multi-tenant API design with load-bearing access control.
Differentiators: entity resolution/record linkage/fuzzy matching at scale; search infrastructure (full-text, fuzzy, vector) synced with Postgres; KYC/KYB/fraud/underwriting pipeline experience; address parsing/normalization at country scale; webhook delivery infrastructure (retries, signing, idempotency, ordering); GCP experience (Cloud Run, Cloud Tasks, Cloud SQL, batch pipelines).
