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Passionate about building sophisticated backend systems — distributed services, data pipelines, and APIs that need to operate at scale with low latency and high reliability. - Excited to architect the infrastructure powering intelligent search — from vector retrieval and cross-encoder reranking to real-time ingestion and indexing. - Motivated by the challenge of integrating ML model serving, embeddings, and LLM-driven flows into production backend systems that serve millions of patients. - A technical leader who thrives on architecting systems, mentoring engineers, and elevating code quality and team-wide execution
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An excellent communicator who collaborates effectively with product, data science, and infrastructure partners. - Energized by solving ambiguous infrastructure and architectural challenges to deliver elegant, robust solutions. Your day to day is…
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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. You’ll be successful in this role if you have…
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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. NYC
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Flexible, hybrid work environment at our convenient Soho location
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Unlimited Vacation
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100% paid employee health benefit options (including medical, dental, and vision)
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Commuter Benefits
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401(k) with employer funded match
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Corporate wellness programs with Headspace and Peloton
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Sabbatical leave (for employees with 5+ years of service)
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Competitive paid parental leave and fertility/family planning reimbursement
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Cell phone reimbursement
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Catered lunch everyday along with beverages and snacks
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Employee Resource Groups and ZocClubs to promote shared community and belonging
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Great Place to Work Certified
