Senior Backend Engineer | $7.5B AI Healthtech Startup

About Day One Partners

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:

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

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

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