Staff Software Engineer - Uber Health

About the Role
At Uber Health, we are reimagining how patients access care, medications, and health services by connecting healthcare organizations, payers, and patients directly with Uber’s global mobility and delivery logistics network. Operating at massive scale, Uber Health powers millions of non-emergency medical transportation (NEMT) rides and prescription deliveries annually across thousands of enterprise healthcare partners.
Beyond core logistics infrastructure, as a Staff Software Engineer you will serve as a key technical leader, setting long-term architectural strategy and pioneering our next-generation agentic AI platform. You will architect autonomous workflows across secure, HIPAA-compliant patient and provider communication channels, mentor senior engineers across the organization, and drive engineering excellence to solve critical healthcare access challenges reliably and safely within highly regulated environments.
What You’ll Do
Architect the Shared Agentic AI Platform: Lead the backend design and long-term system architecture of a shared, reusable agentic platform, enabling AI models to safely execute connected, multi-step autonomous workflows across secure healthcare communication channels.
Build Production AI Guardrails & Control Systems: Connect AI-driven agentic capabilities to core business systems with explicit access boundaries, fine-grained action permissions, deterministic fallbacks, and automated verification layers to ensure predictable, highly reliable execution.
Healthcare API Integrations: Build secure, reliable integrations with Electronic Health Record (EHR) systems, Third-Party Administrators (TPAs), and enterprise healthcare portals, extending them to support intelligent, AI-driven automation.
Ensure Compliance & Security: Drive best practices around data privacy, HIPAA compliance, and data governance across multi-tenant platform services—guaranteeing robust PHI isolation across all traditional and AI-driven workflows.
Cross-Functional Collaboration: Partner closely with Product Managers, Operations, Legal, and Design to turn complex, highly regulated healthcare and AI-driven requirements into robust, reusable technical roadmaps for Uber for Business (U4B) enterprise customers.
Technical Leadership & Mentorship: Provide technical mentorship and guidance to senior and mid-level engineers, champion high engineering standards, lead architecture reviews, and foster a culture of technical excellence across the team.
Basic Qualifications
Education & Experience: BS/MS degree in Computer Science, Engineering, or equivalent practical experience, with 8+ years of professional software development experience.
Distributed Systems Expertise: Proven track record of designing, building, scaling, and operating high-throughput, low-latency distributed systems and microservices in cloud environments.
Core Engineering Proficiency: Deep programming expertise in languages such as Go, Java, Python, or C++.
Preferred Qualifications
Domain Expertise: Experience in healthcare tech, HIPAA/PHI compliance, NEMT, or enterprise SaaS integrations.
Production AI & Agentic Workflows: Hands-on experience building, scaling, and operating production-grade AI systems, agentic frameworks, or LLM-integrated workflows connected directly to enterprise backend systems.
AI Security & Governance Controls: Direct experience defining runtime permissions, execution limits, access boundaries, and auditability mechanisms for AI agents taking actions within production systems.
Enterprise Client-Facing Architecture: History of collaborating closely with strategic enterprise customers or partners to distill complex operational requirements into unified platform architecture.
Technical Leadership & Mentorship: Demonstrated ability to define technical strategy for cross-team initiatives, navigate ambiguous business requirements, balance speed with platform stability, and mentor engineers to level up overall technical capability.
For New York City, NY-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
Ready to Ride?
This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Skills
Python, Java, C++, Golang, Microservices, LLM

Experience
8+ yrs

Employment type
Full time

Work arrangement
On-site