API & Canonical Model Engineer; Senior​/Mid

API & Canonical Model Engineer (Senior / Mid) Job Type

Full Time

5+ years

US

You will design the canonical data model that all source data maps into, and build the serving layer that
exposes it: CQRS read APIs over the golden record, a BFF and API gateway composing ~60 modern UI screens, a mediated write path back to legacy systems of record, an eligibility/personalization rules layer, and the internal console practitioners use to govern mappings and steward merge decisions.

Define and evolve the canonical data model (Person, Employment, benefit domains), the Global e, and the custom-attribute extensibility model

Design the canonical Core API resource catalogue — contract-first OpenAPI v3, shaped by the canonical model rather than a 1:1 port of 300+ legacy APIs — plus BFF screen-composition conventions

Build the serving layer: BFF, API gateway, and process services as the sole consumer boundary, with CQRS read APIs and a bounded consistency window

Build the mediated write path (UI → ODL → system of record): sync-confirm by default, async-accept writeback via saga, transactional outbox, and compensation, with read-your-writes and pending-write handling

Build the eligibility/personalization rules layer: precompute parameters and evaluate expressions against stored data, reusing an existing evaluation library

Build the practitioner console: crosswalk editor, reference-data management, survivorship and match-threshold editors, and a daily-use steward queue — with roles, permissions, and audit

Implement service-to-service zero-trust security: workload identity, per-call authorization, gateway edge auth, and row-/column-level security

5+ years of Java / Spring Boot building production microservices

REST API design with contract-first OpenAPI v3; API gateway experience (Spring Cloud Gateway or similar)

Distributed-systems patterns in production: CQRS, saga, transactional outbox, idempotency, compensation/rollback

Kafka-based integration

Security: OAuth2/OIDC, workload identity, zero-trust patterns, row-/column-level security

For the console track:
React or Angular with data-dense UI patterns — editable grids, workflow/approval queues, audit trails

Bonus Points

Enterprise/canonical data-model delivery at scale (expected at senior level)

BFF and screen-composition API design

Rules or expression-engine work (relevant to eligibility/personalization)

Elasti Cache/Redis and low-latency read tuning

Admin-console or data-stewardship tooling; embedding AI copilots into user workflows

Benefits administration or healthcare domain knowledge