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Open nowPosted 24 hours ago

Software Engineer (Python)

nahc.io42 open roles

Where
Taipei City, Taiwan
Work mode
On site
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Your applicationOpen nowSoftware Engineer (Python)nahc.io · Taipei City, Taiwan
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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. nahc.io postings stay open a median of 8 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 24 hours ago

nahc.io median: 8 days open

The posting

Our client is looking for a backend engineer to take full ownership of core features on their medical imaging platform. This isn't a role where you hand off your code at the pull request - you’ll be directly responsible for system correctness, production stability, and the integrity of clinical data that directly impacts patient care.

The data science team builds the machine learning models; your job is to build the robust, deterministic platform that powers them. You’ll spend your time designing scalable architectures, untangling concurrency edge cases, ensuring zero-downtime data migrations, and keeping legacy services stable while building their replacements.

What you will do:

  • Core Backend Architecture: Drive the technical direction of our Python/FastAPI ecosystem, from API design to background task distribution and production observability.
  • Data Integrity & Persistence: Architect and evolve our PostgreSQL schemas. You’ll manage migrations, lock mechanisms, query tuning, and multi-tenant data isolation under strict HIPAA/PHI compliance.
  • Resilient Image Processing Pipelines: Design asynchronous, event-driven pipelines handling heavy medical imaging files—from ingest and de-identification to model inference and result delivery.
  • Cross-Functional System Contracts: Define clean, reliable API interfaces with frontend teams and establish clear model input/output contracts with data scientists.
  • Technical Records & Legacy Transition: Maintain Architecture Decision Records (ADRs), run thorough design reviews, and reliably maintain our legacy TypeScript service through its planned sunset.

What you will need:

  • Deep Systems & Backend Fundamentals: 5+ years of software engineering experience with proven production ownership. While our current stack is Python and FastAPI, we care more about deep systems fundamentals (Go, Rust, Java, Kotlin, C#, or TypeScript) than language familiarity.
  • Concurrency & Distributed Systems Expertise: Strong intuition for race conditions, deadlocks, idempotent processing, and "at least once" messaging failure modes.
  • Database & Messaging Mastery: Production experience with PostgreSQL internals (indexing, transactions, row-level locks) and message brokers (queues, dead-letter strategies, exponential backoffs).
  • Engineering Rigor: Commitment to typed code, automated testing suites, automated pipelines (CI/CD, Docker), and efficient leverage of modern AI developer tooling.
  • Autonomy & Communication: Ability to challenge requirements before writing code, set technical standards, and collaborate fluently in both English and Chinese.

Nice-to-haves:

  • GCP Infrastructure: Experience operating containerized workloads on Google Cloud Platform.
  • Healthtech & DICOM: Direct experience with medical imaging workflows, DICOM standard protocols, or healthcare regulatory frameworks.
  • Isolation Mechanics: Multi-tenant database patterns (e.g., Row-Level Security) or experience deploying hybrid cloud/on-prem solutions.
  • Scientific Computing Context: Exposure to NumPy, computational geometry, or light frontend familiarity (React/TypeScript).
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