Senior Software Engineer, Provider Engagement

You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked.  

We’re here to give power to the patient. 

For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more.

Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting. We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking.

Fixing healthcare starts with fixing access to it. And we're still just getting started.

We're transforming how healthcare practices interact with Zocdoc, building intelligent systems that understand each practice's needs and guide them toward actions that grow their business. This means personalized homepages, smart recommendations, AI-assisted configuration, and workflows that make Zocdoc essential to daily operations.

As Senior Software Engineer, you'll build these systems end-to-end. You'll own features from design through production, work across the stack, and collaborate with Product, Design, and Data Science to ship experiences that matter.

• →Build platform components - including practice profile services, engagement scoring pipelines, recommendation APIs, personalization infrastructure.
• →Ship product features end-to-end - database to API to front-end, owning the full lifecycle.
• →Work with Data Science to integrate ML models  build feature pipelines, call model endpoints, instrument feedback loops.
• →Write production-ready code with strong testing, observability, and error handling.
• →Participate in design discussions and contribute to architecture decisions. Deliver complex components with strong engineering judgment.
• →Improve engineering practices - including testing, CI/CD, monitoring, documentation.
• →Mentor junior engineers through code reviews and pairing.

• Inspired by the opportunity to positively impact the healthcare experience for millions of patients and providers
• Passionate about building full-stack features that users love, with a strong sense of ownership from idea to production
• Product-driven with a relentless focus on user needs, and excited to collaborate closely with cross-functional teams
• Comfortable working with data — building pipelines, computing aggregations, and integrating ML model outputs into product experiences
• A champion of engineering fundamentals who cares about code quality, testing, and maintainability
• Someone who takes initiative, sees features through to completion, and takes pride in shipping
• A collaborator who mentors teammates, gives thoughtful code reviews, and learns from others
• A believer that diverse and inclusive teams and cultures are non-negotiable

• Building platform components that power engagement intelligence — practice profile services, engagement scoring pipelines, recommendation APIs, personalization infrastructure, and more
• Shipping product features end-to-end — from database schema to API to front-end, owning the full lifecycle
• Working with Data Science to integrate data-driven features — building pipelines, calling model endpoints, and instrumenting feedback loops to measure outcomes
• Building the product surfaces that deliver recommendations to users — personalized homepage modules, in-product messaging, and value reinforcement ("You gained 15 bookings this week")
• Working with cutting edge GenAI tools and technology
• Collaborating with our agile team of dedicated engineers, product managers, designers, and data scientists
• Participating in design discussions — contributing to architecture decisions and learning from Staff engineers
• Improving engineering practices — testing, CI/CD, monitoring, documentation
• Mentoring junior engineers through code reviews and pairing

• 5+ years of software engineering experience building production systems
• Full-stack capabilities — comfortable across backend services, APIs, and front-end
• Experience with data pipelines or ETL — you've built systems that aggregate, transform, or serve data
• Comfort working with ML outputs — you can integrate models (call APIs, handle predictions, log outcomes)
• Strong fundamentals — data structures, system design, debugging
• The ability to integrate generative AI tools into daily workflows to automate tasks, foster innovation, and maximize productivity
• Good judgment on tradeoffs — you know when to optimize and when to ship
• Ownership mentality — you see features through to production