Industries

Domain depth where mistakes are expensive.

Generalist engineers are a real cost in regulated, scale-sensitive industries. Ledger drift in payments, audit gaps in healthcare, multi-tenant boundary leaks in SaaS — these are the failure modes we screen for explicitly. Our practice is concentrated in FinTech, HealthTech, and B2B SaaS, with deliberate adjacency across commerce, logistics, EdTech, security, and AI-native product organizations. Each industry has its own rubric, its own reference checks, and its own evaluation artifacts. We don't ask a payments engineer to prove themselves on a CRUD prompt — we screen them on a settlement edge case.

Core practice areas

FinTech & Capital Markets

Payments, ledgering, fraud, brokerage infrastructure, and real-time risk. Engineers with PCI-DSS, SOC 2, and high-throughput ledger experience.

Payments BackendLedger ArchitectsReal-time RiskCompliance Engineers

HealthTech & Life Sciences

EHR integrations, FHIR pipelines, clinical workflow tooling, and patient-facing platforms. HIPAA-experienced engineers, end to end.

FHIR / HL7 EngineersClinical PlatformPrivacy & AuditCare-team Frontend

B2B SaaS & Platform

Multi-tenant platform engineering, enterprise-grade SSO and RBAC, usage-based billing, and developer platforms.

Platform / InfraBilling & MeteringIdentity & SSODeveloper Experience

Adjacent specializations we staff

Beyond our three core practices, we maintain calibrated benches in a handful of adjacent specializations where the engineering rigor overlaps and the talent gravity is real.

Commerce & Marketplaces

Order management, fulfillment, and storefront performance for high-traffic retail and marketplace platforms.

Industrial & Logistics

Routing, telemetry pipelines, warehouse systems, and fleet-grade backend services.

EdTech & Workforce

Learning platforms, assessment engines, and credentialing systems with regulated data flows.

Security & DevTools

Detection engineering, IAM tooling, SIEM/SOAR integrations, and developer-platform security.

AI-native Products

Inference platforms, RAG pipelines, evaluation infrastructure, and applied ML across regulated and consumer surfaces.

Not sure which practice fits?

Most engagements start with a 30-minute calibration call. We map the role against domain adjacency, propose the right rubric, and confirm whether ByteBridge is the right partner before you commit to a brief.