Senior Backend Engineer (AI)

TL;DR

Senior Backend Engineer (AI): Designing and building data transformation pipelines for Oura's HealthOS platform, ingesting data from diverse sources and transforming it through pipelines and LLM-based interpretation layers with an accent on data integrity, resilience, and failure modes. Focus on building multi-consumer APIs and data contracts serving LLM-powered reasoning engines, mobile apps, and analytics pipelines.

Location: Remote - United States. We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI).

Salary: $172,550 - $203,000 (Region 1), $158,950 - $187,000 (Region 2), $147,900 - $174,000 (Region 3)

Company

Oura's mission is to empower every person to own their inner potential through their Oura Ring and its connected app, providing daily insights and practical steps to inspire healthy lifestyles.

What you will do

• 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 SQS, handling duplicate events and traffic spikes.
• Define flexible data models and schemas for a hierarchical health context ontology.
• Build multi-consumer APIs and data contracts serving LLM-powered reasoning engines, mobile apps, and analytics pipelines.
• Operate and design data storage at scale.
• Create SDKs and integration surfaces that let other squads contribute and own contexts with minimal friction.

Requirements

• 5+ years of experience building and operating production data systems at scale in Python.
• Experience designing event-driven architectures with message brokers, event streams, and CDC pipelines.
• Deep experience with data transformation pipelines, ingesting from heterogeneous sources and serving with clear data contracts.
• Strong technical grasp of AWS ecosystems, including RDS, DynamoDB, SQS, EventBridge, EKS, and Lambda.
• A data-model-first mindset.
• Experience building shared platforms or APIs that multiple teams depend on.

Nice to have

• Experience with FastAPI or AWS Lambda Powertools.
• Background in health data, wearables, or familiarity with FHIR/SNOMED/ICD.
• A privacy-first approach to engineering.
• Building infrastructure that feeds data to/from LLM-powered services.

Culture & Benefits

• Competitive salary and equity packages.
• Health, dental, vision insurance, and mental health resources.
• An Oura Ring of your own plus employee discounts for friends & family.
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off.
• Paid sick leave and parental leave.