nahc.io

Software Engineer - Python

Backend EngineeringConfirmed live in the last 24 hours

Full-timeTaipei City, TaiwanNo salary listedIn-person

About the Job

Requirements

At least 5 years of software engineering experience with proven production ownership.
Strong systems and backend fundamentals; experience in Go, Rust, Java, Kotlin, C#, or TypeScript is valued over familiarity with the current Python and FastAPI stack.
Strong understanding of concurrency issues, including race conditions, deadlocks, idempotent processing, and at-least-once messaging failure modes.
Production experience with PostgreSQL internals, including indexing, transactions, and row-level locks, and with message brokers, including queues, dead-letter strategies, and exponential backoffs.
Commitment to typed code, automated testing suites, automated pipelines, Docker, and effective use of modern AI developer tools.
Ability to challenge requirements before implementation, set technical standards, and collaborate fluently in English and Chinese.

Responsibilities

Own core features on the medical imaging platform, with responsibility for system correctness, production stability, and clinical data integrity.
Drive the technical direction of the Python and FastAPI ecosystem, including API design, background task distribution, and production observability.
Architect and evolve PostgreSQL schemas; manage migrations, lock mechanisms, query tuning, and multi-tenant data isolation under HIPAA/PHI compliance requirements.
Design asynchronous, event-driven pipelines for medical imaging files, covering ingestion, de-identification, model inference, and result delivery.
Define reliable API interfaces with frontend teams and establish model input/output contracts with data scientists.
Maintain Architecture Decision Records, conduct design reviews, and maintain the legacy TypeScript service through its planned sunset.

Desired Qualifications

Experience operating containerized workloads on Google Cloud Platform.
Direct experience with medical imaging workflows, DICOM protocols, or healthcare regulatory frameworks.
Experience with multi-tenant database patterns such as Row-Level Security, or with hybrid cloud/on-premises deployments.
Exposure to NumPy, computational geometry, or React/TypeScript.

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).

About the Company

nahc.io

Company size: Not listed
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: Not listed

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