Note: The job is a remote job and is open to candidates in USA. Zocdoc is the country’s leading digital health marketplace that helps patients easily find and book the care they need. As a Staff Software Engineer on Zocdoc’s Search Services team, you will lead the design and development of high-performance backend services and data infrastructure to enhance the search function for patients, transforming it into an intelligent, intent-driven experience.
Responsibilities
- Architecting and building core backend services, APIs, and data infrastructure that power Zocdoc’s next-generation search platform
- Redesigning how provider, availability, and content data is ingested and flows through indexing pipelines into search and ML systems
- Designing and optimizing low-latency query paths across our tier-1 search service, vector search infrastructure, and cross-encoder ranking systems
- Integrating ML model serving, embedding generation, and ranking signals into production backend services through scalable, observable patterns
- Driving architectural direction and setting engineering standards across the Search Services organization through design docs, technical deep dives, and high-signal code reviews
- Mentoring engineers on backend best practices, distributed systems design, API architecture, and technical decision-making
- Building robust observability into backend services—measuring, debugging, and improving performance, reliability, and data freshness across the entire search stack
Skills
- A proven track record of owning and scaling complex, high-traffic backend platforms, with deep expertise in distributed systems design and long-term architectural thinking
- Deep hands-on expertise with C# / .NET or comparable backend frameworks, with a focus on performance optimization, concurrency, and service-oriented architecture
- Significant experience designing and operating large-scale data pipelines, ingestion systems, or stream-processing workflows
- Strong experience with AWS services and cloud-native infrastructure patterns — ECS, Lambda, DynamoDB, SQS/SNS, Kinesis, OpenSearch, S3, and similar
- Familiarity with search technologies, vector databases, embedding models, and ML model serving, with a strong understanding of how to operate these at production scale
- Strong communication skills that align engineering, product, data science, and infrastructure stakeholders around shared goals
- A passion for mentoring engineers, setting engineering best practices, and raising the overall technical quality bar
- Experience designing systems for high availability, fault tolerance, and graceful degradation in latency-sensitive environments
Benefits
- Flexible, hybrid work environment at our convenient Soho location
- Unlimited Vacation
- 100% paid employee health benefit options (including medical, dental, and vision)
- Commuter Benefits
- 401(k) with employer funded match
- Corporate wellness programs with Headspace and Peloton
- Sabbatical leave (for employees with 5+ years of service)
- Competitive paid parental leave and fertility/family planning reimbursement
- Cell phone reimbursement
- Catered lunch everyday along with beverages and snacks
- Employee Resource Groups and ZocClubs to promote shared community and belonging
- Great Place to Work Certified
- Certain positions are also eligible for variable pay and/or equity; your recruiter will discuss the full compensation package details.
Company Overview
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