Senior Backend Engineer Integrations

Role Overview

As a Senior Backend Engineer (Integrations) at Arbiter AI, you’ll design, build, and operate backend platform systems that connect Arbiter to the outside world. You’ll own critical parts of the backend infrastructure—API design, service orchestration, data pipelines, and third-party system connectivity—supporting production-grade systems with real customer dependency.

Responsibilities

• Platform architecture & backend systems: Design, develop, and operate backend services with emphasis on reliability, modularity, and clean system boundaries.
• External system connectivity: Build and maintain robust integrations with third-party systems (e.g., cloud APIs, AI services, data exchange services, EHRs, telephony platforms). Create reusable integration abstractions across customers.
• API design & data exchange: Operate high-scale APIs including REST, gRPC, and webhooks; manage complex data flows such as:
  • real-time streaming
  • batch processing
  • file-based exchange (SFTP, HL7, EDI)
  • event-driven pipelines
• Performance & reliability: Ensure high throughput, low latency, and fault tolerance using monitoring/alerting and operational best practices; handle vendor failures, retries, idempotency, and graceful degradation.
• Data engineering & pipelines: Build/maintain ETL/ELT pipelines; manage schema evolution and data quality/integrity across varying formats and standards.
• Infrastructure & deployment excellence: Uphold best practices for CI/CD, testing, observability, and production cloud deployments.
• Cross-functional execution: Partner with AI engineers, product managers, implementation teams, and customer stakeholders to deliver scalable solutions.
• Technical leadership & mentorship: Mentor engineers, contribute to internal documentation/standards, influence technical direction, and raise the engineering bar.
• Ownership & on-call: Own services end-to-end, including operational ownership and on-call responsibilities.

Requirements

• Experience designing and operating backend integrations and platform services.
• Strong background in API/data exchange, including reliability patterns (retries, idempotency, degradation) and operational excellence (monitoring/alerting).
• Proven ability to build and maintain data pipelines and manage data quality/schema evolution.
• Ability to partner across teams and translate ambiguous, high-impact problems into production solutions.

Nice-to-haves (implied by posting)

• Hands-on experience with healthcare data standards and systems (e.g., EHRs, HL7, EDI, SFTP).
• Experience integrating with cloud APIs, AI services, and telephony/data exchange platforms.
• Leadership/mentorship experience and comfort influencing technical direction.