- Страна
- США
- Зарплата
- 147 900 $ – 203 000 $
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Senior Backend Engineer, Context Hub
Отличная вакансия в известной компании с сильной инженерной культурой, прозрачными зарплатными вилками и фокусом на современные технологии (AI, HealthTech). Удаленный формат работы и фокус на благополучие сотрудников добавляют привлекательности.
Сложность вакансии
Высокая сложность обусловлена необходимостью проектирования сложных распределенных систем данных, работы с LLM-интеграциями и строгими требованиями к отказоустойчивости платформы. Требуется глубокий опыт в AWS и событийной архитектуре.
Анализ зарплаты
Предлагаемая зарплата ($147k - $203k) полностью соответствует рыночным стандартам для Senior Backend ролей в США, особенно в секторе HealthTech и носимых устройств. Верхняя граница диапазона выше медианы рынка для удаленных позиций.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Backend Engineer position for the Context Hub team at Oura. With over 5 years of experience in building large-scale production data systems and a deep expertise in Python and AWS ecosystems, I am excited by the opportunity to architect the foundational data infrastructure that serves as the 'memory' for Oura's HealthOS. My background in designing event-driven architectures using Kinesis and SQS, combined with a data-model-first mindset, aligns perfectly with your requirements for building resilient, multi-consumer APIs.
I am particularly impressed by Oura's forward-thinking approach to integrating AI tools like Cursor and Claude into the development workflow. Having used similar tools to accelerate pipeline development and reduce boilerplate, I view AI as a powerful multiplier for engineering productivity. I am eager to bring my experience in building shared platforms and my commitment to production quality to help Oura empower millions of users to understand and improve their health.
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Описание вакансии
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 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
How We Build With AI
At Oura, AI is a core part of how we build software. We encourage senior engineers to use tools like Cursor, Claude Code, and GitHub Copilot to accelerate pipeline development, iterate on schema design, prototype integration patterns, and reduce boilerplate - so you can focus on the hard problems. All code is reviewed and owned by the engineer. AI is a multiplier, not a crutch. We're looking for engineers who view AI as a coworker in the development loop, not just autocomplete.
Requirements
- 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
Nice to Haves
- Experience with FastAPI or AWS Lambda Powertools
- Background in health data, wearables, or familiarity with FHIR/SNOMED/ICD
- A privacy-first approach to engineering, with a solid understanding of the best practices for handling sensitive data (PHI/PII).
- Building infrastructure that feeds data to/from LLM-powered services
- Familiarity with feature stores, embeddings, or vector databases
- Experience in building efficient, scalable database schemas and/or query optimization
- Infrastructure-as-code (AWS CDK, Pulumi)
- Observability tooling: Grafana, Prometheus, OpenTelemetry
- Experience in globally distributed teams working asynchronously across time zones
- Commitment to continuous learning. You’re someone who stays adaptable and is always looking to expand your technical toolkit as the industry evolves.
Benefits
At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.
What we offer:
- 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
Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.
- Region 1 $172,550 - $203,000
- Region 2 $158,950 - $187,000
- Region 3 $147,900 - $174,000
A recruiter can determine your Region based on your US location.
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).
Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.
We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
Disclaimer: Beware of fake job offers!
We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:
- Our jobs are listed only on the ŌURA Careers page and trusted job boards.
- We will never ask for personal information like ID or payment for equipment upfront.
- Official offers are sent through Docusign after a verbal offer, not via text or email.
Stay cautious and protect your personal details.
To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.
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Навыки
- Python
- AWS
- Amazon Kinesis
- Amazon EventBridge
- Amazon SQS
- Amazon EKS
- AWS Lambda
- DynamoDB
- PostgreSQL
- FastAPI
- Grafana
- Prometheus
- OpenTelemetry
- Terraform
- LLM
Возможные вопросы на собеседовании
Проверка навыков проектирования систем с учетом масштабируемости и надежности.
Как бы вы спроектировали систему обработки событий, которая должна гарантировать порядок сообщений при резких скачках трафика?
Оценка опыта работы с данными и понимания специфики Context Hub.
Опишите ваш подход к проектированию эволюционирующей схемы данных (ontology), которую используют несколько независимых команд.
Проверка практического опыта работы с AWS и понимания стоимости/производительности.
В каких случаях вы выберете DynamoDB вместо RDS для хранения контекста пользователя, и какие ограничения это наложит?
Оценка готовности кандидата использовать AI как инструмент повышения продуктивности.
Расскажите о вашем опыте использования AI-ассистентов (например, Cursor или Copilot) при решении сложных архитектурных задач. Как вы обеспечиваете качество кода?
Проверка навыков работы в кросс-функциональной среде.
Как вы подходите к созданию SDK или API-контрактов, чтобы минимизировать трения для других команд, интегрирующих свои данные в вашу платформу?
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- Страна
- США
- Зарплата
- 147 900 $ – 203 000 $