Senior Backend Engineer, Context Hub

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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401(k) match

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Market context

Median wage (BLS OEWS)

$116,543 national median

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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About this role

Senior Backend Engineer, Context Hub Remote - United States Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work - both in and out of the office. The Context Hub is a knowledge store within Oura's HealthOS platform. It ingests data from diverse sources, transforms it through both pipelines and LLM-based interpretation layers, and serves structured User Context. If Oura's intelligence systems are the brain, the Context Hub is the memory. This is an opportunity to be part of teams that are at the forefront of wearable technology, innovating and defining the future of Oura's products through collaboration across different teams. What You Will Do This is a platform-building role . You'll design foundational data infrastructure that multiple product teams depend on - not ship features in isolation. - Design data transformation pipelines that convert raw health signals, user inputs, and third-party data into structured, queryable context - Architect event-driven ingestion using tools like Kinesis, EventBridge, and

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