Staff Software Engineer - Identity and Privacy

Weight loss, better sex, fuller hair, improved skin and more online•New York, NY

17h•$211,700 - $292,000•Hybrid

About The Position

Ro is a direct-to-patient healthcare company with a mission of helping patients achieve their health goals by delivering the easiest, most effective care possible. Ro is the only company to offer nationwide telehealth, labs, and pharmacy services. This is enabled by Ro's vertically integrated platform that helps patients achieve their goals through a convenient, end-to-end healthcare experience spanning from diagnosis, to delivery of medication, to ongoing care. Since 2017, Ro has helped millions of patients in nearly every single county in the United States, including 99% of primary care deserts. Ro is consistently recognized as a top workplace in Health Care, in New York, and for Women and Parents—earning more than 20 honors from Fortune, Great Place to Work, and PEOPLE since 2021. In 2025 alone, we ranked top 5 among medium workplaces in Health Care and New York, and top 50 nationwide. The Role As a Staff Software Engineer on Ro’s Identity and Privacy team, you will build and scale systems that support secure user identity and privacy-first data practices. This includes authentication, user lifecycle management, consent, and data governance—ensuring Ro’s technical foundation supports both patient trust and business growth. You will design, build, and maintain systems that manage customer identity, data preferences, attribution, and event-driven data flows. This work requires strong expertise in distributed systems, event pipelines, and privacy-preserving architectures. You’ll work in a highly cross-functional environment, partnering with security, legal, marketing, and data teams to define solutions that balance compliance, security, and high-quality patient experiences.

Requirements

8+ years of software engineering experience (2+ years at Staff or above level) with a focus on distributed systems, data infrastructure, privacy, or security.
Strong proficiency in Python and experience building scalable, production-grade systems.
Deep experience with distributed systems, including streaming platforms (e.g., Kafka), event-driven architectures, and asynchronous processing.
Experience designing and operating data pipelines, eventing systems, and first-party data platforms.
Familiarity with authentication and identity systems (e.g., OAuth, session management, MFA, user lifecycle management).
Experience using agentic coding tools to improve development velocity, reduce workflow friction, automate repetitive tasks, and increase system visibility—while maintaining strong engineering judgment and ownership of outcomes.
Experience in regulated environments and strong ownership in driving complex, cross-functional technical initiatives.

Responsibilities

Build and maintain privacy-first, distributed data systems and consent management systems that comply with consumer privacy regulations.
Design and operate high-throughput, event-driven architectures (e.g., Kafka, streaming systems) for collection, processing, and distribution of first-party data.
Contribute to authentication and identity systems, including user lifecycle management, access controls, and multi-factor authentication.
Architect and scale asynchronous data pipelines and event processing systems for real-time and batch use cases.
Partner with marketing and growth teams to enable privacy-compliant advertising, CRM, and analytics workflows.
Implement privacy-preserving techniques (e.g., anonymization, tokenization, minimization) and ensure compliant data flows to third-party platforms.
Collaborate with security and legal teams to enforce data governance, retention, and compliance policies.