About Arbiter

Our Engineering Culture & Values

• Excellence: Taking pride in our technical craft and the products we build.
• Impact-Driven Development: Building fault-tolerant, scalable systems that evolve with business needs.
• Collaboration Over Ego: Valuing exceptional work and ideas and shipping often to create impact.
• Continuous Growth: Fostering learning, mentorship, and professional development.

Responsibilities

• Platform architecture and backend systems: design, develop, and operate reliable, modular backend services.
• External system connectivity: build and maintain robust connections to third-party systems (cloud APIs, AI services, EHRs, telephony, etc.) with reusable abstractions.
• API design & data exchange: design and operate high-scale APIs (REST, gRPC, webhooks) and manage real-time streaming, batch processing, and file-based exchange (SFTP, HL7, EDI).
• Performance & reliability: ensure high throughput, low latency, fault tolerance, monitoring, and operational best practices.
• Data engineering & pipeline ownership: build and maintain ETL/ELT pipelines, manage schema evolution, and ensure data quality.
• Infrastructure & deployment excellence: implement CI/CD, testing, observability, and production deployments in cloud environments.
• Cross-functional execution: partner with AI engineers, product, implementation teams, and customers to translate ambiguous problems into scalable solutions.
• Technical leadership & mentorship: mentor engineers, contribute to documentation and standards, and influence technical direction.
• Ownership & on-call: take end-to-end ownership of critical systems, participate in on-call rotations, and lead incident resolution.

Minimum 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 and quality.
• Deep understanding of API design patterns, versioning, backward compatibility, and managing breaking changes.
• Experience building reusable abstraction layers or connector frameworks for multiple customers/vendors.
• Proven experience designing systems that connect to third-party services, handling authentication, rate limiting, retries, and failure modes.
• Strong understanding of concurrency, scalability, reliability, and distributed systems patterns.
• Hands-on experience with batch and streaming data pipeline architectures, schema management, and data quality enforcement.
• Experience with cloud infrastructure (AWS, GCP, or Azure) and production deployments.
• Strong communication skills and ability to work 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.

Preferred Qualifications

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

Location

Job Benefits

• Highly competitive salary & equity package designed to rival top FAANG compensation.
• Generous paid time off (PTO).
• Comprehensive health, vision, and dental insurance.
• Life and disability insurance.
• Simple IRA matching.
• Professional development budget for conferences, courses, and certifications.
• Wellness programs supporting physical and mental health.

Pay Transparency