Senior Backend Engineer | $7.5B AI Healthtech Startup

Job Description

About Day One Partners

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Day One Partners is a search firm that partners with venture capital firms to help build high-growth startups. We lead confidential searches for leadership and critical roles across a range of company stages, industries, and functions

About The Role

We're partnering with a healthcare technology company expanding the engineering team behind a sophisticated AI platform. This role is focused on the reliability and scale of production services that handle large amounts of unstructured data and support machine learning applications.

What You'll Do:

• Design and improve distributed services that support high volume, compute intensive workloads.
  
• Develop data pipelines that handle both live and asynchronous processing.
  
• Work with audio and media systems, including ingestion, transformation, storage, and lifecycle management.
  
• Connect production services with transcription, language models, and other machine learning components.
  
• Design recovery patterns for interrupted requests, duplicate events, timeouts, and unavailable dependencies.
  
• Improve latency, throughput, reliability, and infrastructure efficiency as usage grows.
  
• Give engineering teams better visibility into production behavior through logging, metrics, tracing, and diagnostic tools.
  
• Design APIs and data models for processes that span multiple services.
  
• Work closely with product, AI, application, security, and healthcare domain teams.
  

What You'll Bring:

• 4+ years of backend or infrastructure engineering experience.
  
• Experience designing and operating distributed systems at production scale.
  
• Strong knowledge of asynchronous processing, queues, concurrency, idempotency, and data consistency.
  
• Experience deploying, monitoring, and scaling services in the cloud.
  
• Strong proficiency in at least one modern backend programming language.
  
• Experience with technologies such as Temporal, Kafka, Kubernetes, or similar platforms is a plus.
  
• Exposure to media systems or production machine learning infrastructure is also valuable.
  

Why You'll Love This Role:

• Tackle meaningful engineering problems across distributed computing and AI.
  
• Take substantial ownership of architecture and production reliability.
  
• Work closely with both product and machine learning teams. xhyhwjd
  
• Help shape technical practices as the engineering organization grows.