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Role Description

This role offers the opportunity to lead and shape the backend data systems that power large-scale partner programs, influencing how operations, workflows, and integrations function across the platform. You will take ownership of complex engineering projects from architecture to delivery, balancing technical leadership with hands-on coding.

• Design APIs, data models, and workflows while mentoring a team of engineers.
• Establish best practices for observability, testing, and scalability.
• Collaborate with cross-functional teams including Product, Partnerships, Clinical Operations, and Data/AI to ensure systems operate reliably at scale.
• Lead delivery of backend systems end-to-end, including technical specifications, phased migrations, and deprecation plans.
• Design and implement services for configuration management, workflow orchestration, data validation, and system integrations.
• Build and maintain APIs, data models, and domain logic with attention to versioning, backward compatibility, and error handling.
• Collaborate on architecture, define domain boundaries, and establish coding standards and best practices.
• Mentor and guide engineers through code reviews, pairing, and technical discussions to elevate team performance.
• Define testing strategies, observability standards, and maintain robust runbooks for operational reliability.
• Partner with Product, Clinical, and Partnerships teams to align technical solutions with business requirements and partner-facing needs.
• Coordinate with Data and AI teams to integrate model outputs and advanced analytics into backend workflows.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 6+ years of backend engineering experience, including at least 2 years in a technical leadership role.
• Strong proficiency in Python, ideally with FastAPI or other async frameworks, and experience shipping production services.
• Deep relational database knowledge (PostgreSQL preferred), including schema design, indexing, query optimization, and migrations.
• Experience designing, building, and maintaining APIs and complex data models for production systems.
• Skilled in service-oriented and event-driven architectures with focus on idempotency, retries, and safe backfills.
• Experience building systems with complex state machines, multi-step workflows, or orchestrated business processes.
• Strong technical leadership, including scoping, risk management, and delivery planning for small teams (3–8 engineers).
• Excellent communication skills to convey technical concepts to both engineers and non-technical stakeholders.
• Familiarity with AI-assisted development tools and modern engineering workflows.

Preferred

• Healthcare, insurance, or enterprise SaaS experience with partner configuration, eligibility, or program matching systems.
• Experience with GCP (Cloud Run, Cloud SQL, Pub/Sub) and cloud infrastructure fundamentals.
• Exposure to configuration management systems, rules engines, or multi-tenant platform architecture.
• Experience integrating ML outputs into backend services and HIPAA-compliant systems.

Benefits

• Competitive salary with potential performance-based incentives.
• Comprehensive medical, dental, and vision insurance.
• Flexible work arrangements and remote eligibility.
• Professional development and mentorship opportunities.
• Inclusive and diverse workplace culture with equal opportunity commitment.
• Collaboration with cross-functional, mission-driven teams impacting health outcomes.