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Backend Engineering

Liom Health AG
Freienbach, SZ

Soumettre votre candidature

Détails de l'emploi

100%

Qualifications

CI/CD
Google Cloud Platform
GitHub
Linux
Python

Description complète du poste

About Liom

Liom is a Swiss health-tech startup dedicated to revolutionizing the field of personalized health monitoring. Our objective is to develop the first health wearable monitoring glucose non-invasively. We will launch our wearable as a consumer product in the United States and Europe in 2028. Our team consists of over 35 staff, with deep expertise in product development, and the required engineering as well as scientific disciplines. We are operating out of our lab facilities in Pfäffikon SZ, Switzerland.

Your mission

Liom is preparing to 100× its data acquisition capacity. Our visual health‑data—combined with rich metadata—is the foundation for real‑world clinical insights and downstream data‑science models. To support this next phase of growth, we are building a new data platform on Google Cloud that can scale with our ambitions.
As a Backend Engineer, you will implement the Load Balanced GCP backed APIs that Liom uses to ingest, structure, validate, and operationalises data across the company. You’ll work across backend services, data engineering, and platform architecture, helping us build systems that are secure, reliable, and ready for clinical‑grade scale. You are confident working with containers across Linux distributions, handling artefacts / libraries effectively to deliver source controlled services that make up the backbone of the business.
This is a hands‑on role in a fast‑moving startup environment, ideal for someone who wants to shape the technical direction of a company making real‑world health impact.

Responsibilities

Develop load‑balanced, secure, standardised FastAPI services for external data ingestion and internal laboratory pipelines.
Build high‑bandwidth internal APIs for experimental data, imaging pipelines, and metadata flows.
Ensure robust authentication, authorisation, and secure handling of sensitive health‑related data.
Work closely with data science, product, and lab teams to ensure data is accessible, high‑quality, and fit for downstream use.
Translate business needs into technical architecture, and clearly communicate trade‑offs to both technical and non‑technical audiences.
Support emerging needs for unstructured data from business, sales, and operations teams.

Your profile

3+ years experience generating business value through API backed infrastructure and software services
Comfortable in a Python‑first engineering environment.
Bring a DevOps mindset, balancing security, reliability, and operational pragmatism.
Thrive in a startup culture—comfortable stepping outside your comfort zone and learning rapidly.
Be a team player who values collaboration, clarity, and shared ownership.

Nice to Have

Hands‑on experience with Cloud Run, Cloud Functions, or serverless patterns.
Familiarity with GitHub Actions and modern CI/CD pipelines.
Experience with data governance, schema evolution, or ML‑ops workflows.
Exposure to health‑tech, regulated data, or scientific computing environments.

We offer

Diversity
With 15 nationalities in the company, we strive to build a diverse and exciting environment. We care about diversity and equal opportunities and encourange everyone to apply.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.

Join an amazing, collaborative team!
You’ll be supported by knowledgeable, approachable colleagues and have plenty of chances to learn, exchange ideas, and hear new perspectives.

Our recruitment process

The interview process consists of three stages:

Introduction video call
Technical Interview
On-site interview

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