Senior Backend Engineer, Context Hub

🕒 il y a 2 mois

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of ŌURA

ŌURA

201 - 500 employés

🧘 Bien-être

Wellness • Wearables • Health

ŌURA est une entreprise de technologie de santé grand public qui conçoit et vend la Oura Ring, une bague intelligente connectée qui suit le sommeil, l'activité, la fréquence cardiaque, le stress et les métriques de santé féminine. Ce dispositif collecte des données biométriques à partir du doigt et fournit des analyses pilotées par l'IA et des conseils personnalisés pour le sommeil, la forme physique, la récupération et le bien-être général tout en mettant l'accent sur la confidentialité des données et la sécurité locale/sur l'appareil. ŌURA combine la conception matérielle, la technologie des capteurs, une application compagnon et des analyses basées sur des abonnements pour aider les individus à prendre des décisions de santé éclairées par les données.

Description

• 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 SQS - handling duplicate events, traffic spikes, and partial failures gracefully • Define flexible data models and schemas for a hierarchical health context ontology that evolves as new context types emerge • Build multi-consumer APIs and data contracts serving LLM-powered reasoning engines, mobile apps, and analytics pipelines through clean, well-documented interfaces • Operate and design data storage at scale • Create SDKs and integration surfaces that let other squads contribute and own contexts with minimal friction • Collaborate effectively in a globally distributed, diverse, and cross-functional team, adapting as Oura evolves and new opportunities emerge. • Own production quality end-to-end: testing, monitoring (Grafana, Prometheus, OpenTelemetry), alerting, and documentation.

🎯 Exigences

• 5+ years building and operating production data systems at scale in Python • Experience designing event-driven architectures - message brokers, event streams, CDC pipelines, with understanding of delivery guarantees, fan-out, and backpressure • Deep experience with data transformation pipelines - ingesting from heterogeneous sources, normalizing, enriching, and serving with clear data contracts • Strong technical grasp of AWS ecosystems with a focus on varied data storage solutions (RDS, DynamoDB, etc.), asynchronous messaging (SQS, EventBridge), and scalable compute environments like EKS and Lambda. • A data-model-first mindset - you start with the shape of the data and access patterns before jumping to service architecture • Experience building shared platforms or APIs that multiple teams depend on, with thoughtful versioning and self-service integration patterns • Strong systems design instincts - you think in terms of data integrity, resilience, and failure modes before they become incidents • Excellent communication - you explain your thinking before acting, ask incisive questions upfront, and articulate trade-offs clearly • Have a team-oriented mindset and enjoy working in a diverse environment with distributed teams.

🏖️ Avantages

• 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

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