[Hiring] Senior Backend Engineer, Integrations @Arbiter AI

Role Description

As a Senior Backend Engineer, you will design, build, and operate the platform systems that power Arbiter's connections to the outside world and ensure reliable, performant data exchange across a complex ecosystem. You will own critical parts of our backend infrastructure, from API design and service orchestration to data pipelines and third-party system connectivity, working closely with product, engineering, and customer teams to ship production-grade systems with real customer dependency.

• Platform Architecture & Backend Systems: Design, develop, and operate backend services that power Arbiter's core platform, with an emphasis on reliability, modularity, and clean system boundaries.
• External System Connectivity: Build and maintain robust connections to third-party systems (e.g. cloud APIs, AI services, data exchange services, EHRs, telephony platforms). Own the abstractions that make these integrations reusable and adaptable across customers with minimal rework.
• API Design & Data Exchange: Design and operate high-scale APIs (REST, gRPC, webhooks) and manage complex data flows including real-time streaming, batch processing, file-based exchange (e.g. SFTP, HL7, EDI), and event-driven pipelines.
• Performance & Reliability: Ensure high throughput, low latency, and fault tolerance across backend services through strong system design, monitoring, alerting, and operational best practices. Handle vendor failures, retries, idempotency, and graceful degradation.
• Data Engineering & Pipeline Ownership: Build and maintain ETL/ELT pipelines, manage schema evolution, and ensure data quality and integrity across systems with varying formats, standards, and reliability.
• Infrastructure & Deployment Excellence: Implement and uphold best practices for CI/CD, testing, observability, and deployment of backend systems in production cloud environments.
• Cross-Functional Execution: Partner closely with AI engineers, product managers, implementation teams, and customer stakeholders to translate ambiguous, high-impact problems into scalable technical solutions.
• Technical Leadership & Mentorship: Mentor engineers, contribute to internal documentation and standards, influence technical direction, and raise the overall engineering bar.
• Ownership & On-Call: Take end-to-end ownership of critical systems, including participating in on-call rotations and leading incident resolution when production issues arise.

Qualifications

• 5+ years of hands-on experience building and operating production backend systems in high-availability environments.
• Computer Science or Engineering degree, or equivalent practical experience.
• Experience building and maintaining large-scale Python codebases with strong opinions on structure, quality, and tradeoffs.
• Deep understanding of API design patterns, versioning, backward compatibility, and managing breaking changes across consumers.
• Experience building reusable abstraction layers or connector frameworks that allow a single integration pattern to serve multiple customers or vendors.
• Proven experience designing systems that connect to third-party services, including handling authentication, rate limiting, retry logic, and failure modes gracefully.
• Strong understanding of concurrency, scalability, reliability, and distributed systems patterns.
• Hands-on experience with data pipeline architectures: batch and streaming, schema management, and data quality enforcement.
• Experience with cloud infrastructure (AWS, GCP, or Azure) and production deployments.
• Strong communication skills and ability to work effectively across functions.
• Proficiency with AI-assisted development tools (e.g., Cursor, Claude Code, GitHub Copilot).
• Track record of delivering complex systems end-to-end with minimal oversight.

Requirements

• Experience with healthcare data exchange standards (HL7, FHIR, EDI) or similarly complex domain-specific protocols in other industries (fintech, telecom, logistics) is a plus.
• Familiarity with database performance tuning, query optimization, and managing large-scale relational databases (PostgreSQL, CloudSQL).
• Startup or early-stage experience operating in fast-moving, high-ambiguity environments.

Benefits

• Highly Competitive Salary & Equity Package: Designed to rival top FAANG compensation, including meaningful equity.
• Generous Paid Time Off (PTO): To ensure a healthy work-life balance.
• Comprehensive Health, Vision, and Dental Insurance: Robust coverage for you and your family.
• Life and Disability Insurance: Providing financial security.
• Simple IRA Matching: To support your long-term financial goals.
• Professional Development Budget: Support for conferences, courses, and certifications to fuel your continuous learning.
• Wellness Programs: Initiatives to support your physical and mental health.

Pay Transparency

The annual base salary range for this position is $148,500-$190,000. Actual compensation offered to the successful candidate may vary from the posted hiring range based on work experience, skill level, and other factors.