Zocdoc's mission is to give power to the patient by modernizing the healthcare marketplace, making it easier to find and book care, and driving quality up and prices down. The Staff Software Engineer will help scale and evolve one of Zocdoc's largest growth engines, the Sponsored Results platform, by modernizing its systems for scalability and reliability.
Requirements
- Deep expertise in backend system design — from APIs and data pipelines to understanding best practices on integrating with front-end architecture
- Experience optimizing large-scale, data-driven systems (preferably in ML or advertising domains) with a focus on performance, reliability, and measurable business impact
- Familiarity with cloud-native environments (e.g., AWS) and distributed systems, applying modern DevOps and CI/CD principles
Responsibilities
- Leading the design and architecture of backend services, APIs, and model-serving systems that power Zocdoc’s Sponsored Results platform for scalability, reliability, and performance
- Optimizing and unifying data pipelines to support multiple modeling workflows, improving efficiency and consistency across SPO’s ML ecosystem
- Collaborating closely with product, data science, and infrastructure teams to build seamless provider experiences and accelerate product innovation
- Driving architectural direction and technical excellence through clear design documentation, code reviews, and hands-on implementation
- Mentoring engineers across the team, fostering strong engineering standards, and raising the technical bar for full-stack and backend development
- Analyzing complex product and system challenges, balancing immediate business impact with long-term platform scalability and maintainability
- Working with cutting-edge GenAI tools and technology
Other
- To ensure fair consideration, candidates should apply to only one Staff Software Engineer role at Zocdoc.
- A technical leader who dives deep into architecture, mentors others, and sets high standards for code quality and collaboration
- A clear, inclusive communicator who thrives in fast-moving environments and bridges product, data science, and engineering perspectives
- Strong communication skills that bridge technical and non-technical audiences, aligning product, data science, user experience, and engineering priorities
- A passion for mentoring engineers, driving best practices in testing, deployment, and maintainability, and elevating team-wide engineering quality
