Summary
✨ AI‑Generated
Take end-to-end ownership of a Python backend supporting a medical imaging workflow. You will build and maintain HTTP APIs and background workers, evolve a PostgreSQL data model, design asynchronous event-driven processing pipelines, investigate production failures, and ensure reliable, accurate data reaches downstream reports.
Highlights
High-ownership backend role focused on correctness, production reliability, data integrity, and technical decision-making in a medical imaging environment. Offers end-to-end ownership of APIs, data models, asynchronous pipelines, and production behavior.
Description
About The Opportunity
This role is the single point of accountability for a medical imaging backend: its correctness, its behaviour in production, and the written record behind each technical decision.
You will own the clinical data, the workflow around it, and the accuracy of the numbers that reach a report.
The work includes the unglamorous parts, such as chasing failures that only appear under load and keeping a retiring service running until it is fully replaced.
Machine learning models are built by a separate data science team, so your focus is the backend that serves them.
What You'll Do
Own the Python/FastAPI backend end to end, including HTTP APIs, background workers, and production behaviourOwn the PostgreSQL data model and its evolution, covering schema design, migrations, concurrency control, and query performanceBuild asynchronous, event-driven pipelines for medical image processing, from ingestion and de-identification to inference submission and result handling, with reliable retry and timeout behaviourIntegrate with an internal platform for authentication, GPU inference, and usage metering, keep the product resilient when it is unavailable, and enforce multi-tenant data isolation and patient data privacyAgree the product-to-model contract with the data science team and define API contracts with the frontend engineers who consume themMaintain the architecture decision record, lead design reviews, and support the legacy TypeScript service until it is retired
Core Essentials
5+ years of professional backend engineering, including production ownership of a system you designedDeep backend fundamentals in any language (Python, Go, Java, Kotlin, C#, TypeScript or Rust), and willingness to become effective in Python, FastAPI, and an asynchronous codebaseA strong instinct for concurrency hazards such as race conditions, lost updates, and messages processed twiceStrong PostgreSQL and SQL: data modelling, transactions and concurrency control, indexing, and migration practiceExperience with message queues and event-driven architecture, including idempotent retries, dead-lettering, and timeout handling, and with integrating external services designed for failureDisciplined engineering practice (static typing, automated testing, code review, CI/CD, Docker) and productive use of AI coding assistantsAbility to work independently, set technical direction, and raise concerns about a requirement before implementing it; comfortable working in both Chinese and English
Bonus Skills
Hands-on Google Cloud Platform experienceMedical imaging experience, particularly DICOM and libraries such as pydicom, or a background in regulated healthcare software handling protected health informationMulti-tenant SaaS experience, especially database-enforced isolation such as row-level security, or products that also ship on-premiseNumerical or geometric computing (NumPy, computational geometry) and working familiarity with React and TypeScript
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.
These tools assist our recruitment team but do not replace human judgment.
Final hiring decisions are ultimately made by humans.
If you would like more information about how your data is processed, please contact us.
