Software Engineer (Python)

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).

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.