Oura Health Ltd. logo

Core Platform Engineer, Data and Algo (All Levels)

Job Overview

Location

Hybrid - Helsinki, Uusimaa

Job Type

Full-time

Category

Software Engineering

Date Posted

June 3, 2026

Full Job Description

đź“‹ Description

  • • Design, build, and maintain core platform systems that enable seamless execution of ML-powered algorithms across mobile and cloud environments for millions of Oura Ring users.
  • • Ensure high reliability, compute efficiency, and low-latency performance of algorithmic features running on iOS and Android devices as well as in the AWS cloud.
  • • Develop and improve developer tooling and workflows to simplify implementation, testing, validation, and release of algorithm-heavy features without requiring deep backend expertise from feature teams.
  • • Architect and optimize dataflow systems that synchronize TBs to PBs of user health data between mobile apps and cloud infrastructure with strict consistency, scalability, and cost-efficiency.
  • • Enforce standardized data schemas, data quality controls, and lifecycle management policies across all data pipelines to ensure compliance and integrity.
  • • Collaborate with cross-functional teams to empower them to build end-to-end features independently by providing robust, self-service platform abstractions.
  • • Work across mobile (Swift, Kotlin, C++) and backend (Python, Rust, AWS) platforms to deliver cohesive solutions that span device and cloud.
  • • Profile and optimize high-performance code at both application and systems levels, addressing concurrency, crash resilience, and memory efficiency.
  • • Contribute to the design and maintenance of distributed systems handling massive scale, including data consistency, fault tolerance, and event-driven processing.
  • • Apply knowledge of databases (SQLite, Realm, PostgreSQL, MySQL) for schema design, query optimization, and efficient data storage on mobile and server-side.
  • • Leverage exposure to PyTorch and ML operations to support algorithm deployment and monitoring, though model training is outside the team’s scope.
  • • Drive technical ownership of projects from conception through delivery with minimal guidance, prioritizing impact and product value.
  • • Write high-quality, maintainable code rapidly and effectively, with or without AI-assisted tooling, demonstrating prolific programming ability.
  • • Communicate complex technical concepts clearly in writing and speech to align engineering teams and promote best practices.
  • • Continuously learn and adapt to new technologies and challenges in a fast-growing health technology environment.

🎯 Requirements

  • • Previous experience solving challenging technical problems in high-scale, mission-critical systems
  • • Broad knowledge of software fundamentals: algorithms, data structures, concurrency, databases, testing, and system/API design
  • • Ability to take ownership of projects, design technical solutions, and deliver results with limited guidance

🏖️ Benefits

  • • Opportunity to work on platform systems impacting millions of global users’ health and wellness
  • • Hybrid work model based in Helsinki, Uusimaa
  • • Exposure to cutting-edge ML and data infrastructure at scale using PyTorch, AWS, Swift, Kotlin, and Rust
  • • Collaborative, inclusive culture focused on employee growth and well-being
  • • Work with exceptional engineers on internal-facing tools that enable broader product innovation
  • • Emphasis on learning, impact, and technical excellence over specific tool familiarity

Skills & Technologies

Python
Rust
Swift
Kotlin
PostgreSQL
Remote

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Oura Health Ltd. logo
Oura Health Ltd.
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About Oura Health Ltd.

Oura Health, based in Oulu, Finland, designs and manufactures the Oura Ring, a titanium wellness wearable that continually tracks heart rate, heart-rate variability, temperature, respiratory rate, activity, and sleep stages. Data is synced to a mobile app that provides daily readiness, sleep, and activity scores plus personalized insights. Founded in 2013, the company serves consumers, researchers, and health organizations worldwide, leveraging proprietary algorithms and longitudinal biometric data to support preventive health, performance optimization, and clinical research applications.

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