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:

1. Introduction video call
2. Technical Interview
3. On-site interview