Backend engineer

Nabla; Paris; Hybride; EUR 60 000 - 80 000; Plein temps

Avantages offerts par ce poste

Stock ownership

100% healthcare coverage

Meal vouchers

50% public transportation costs coverage

Exercise classes during work hours

Unlimited budget for book purchases

Résumé du poste

Nabla is hiring a Back-End Engineer in Paris to play a key role in scaling their AI-driven healthcare platform. Responsibilities include designing server-side applications, leading integrations with Electronic Health Record systems, and shaping the technical direction. Qualifications include experience in back-end engineering and proficiency in languages like Kotlin and Python. The role allows for remote work flexibility and provides attractive benefits including stock options and comprehensive healthcare coverage.

Qualifications

• Strong experience in back-end engineering in production-critical environments.
• Proficient in Java, Kotlin, C++, Python, etc.
• Experience with scalable APIs and distributed systems.

Responsabilités

• Design and build server-side applications and APIs.
• Integrate with Electronic Health Record systems.
• Optimize back-end architecture and developer experience.
• Drive architectural decisions.

Connaissances

Back-end engineering

API design and maintenance

Experience with one or more back-end languages

Collaborative skills

Formation

Degree in Computer Science or related discipline

Outils

Kotlin

GraphQL

PostgreSQL

Description du poste

About Nabla

We are a team of entrepreneurs, clinicians and engineers committed to bringing back joy to the practice of medicine. Together with a community of clinician innovators, we’ve harnessed the best of machine learning science to develop Nabla: the leading AI assistant that’s restoring the human connection at the heart of healthcare. By streamlining clinical documentation, Nabla is helping clinicians focus on what matters most - patient care. Today, over 100,000+ clinicians across 130+ healthcare organizations trust Nabla to support how they deliver care every day. We’re at the start of an ambitious journey: Ambient listening, dictation, coding, and command capabilities are all converging into a proactive assistant that intuitively streamlines clinical and financial workflows. Backed by a recent $70M Series C, we’re hiring to build the next generation of clinical AI and improve the lives of clinicians and patients everywhere. This is a great time to join us! Nabla’s phenomenal traction is the result of 3 years of diligent product development. Led by former Meta AI Research engineers, our team has consistently anticipated how AI can revolutionize healthcare delivery. Our Machine Learning team continually leverages the latest advancements to unlock AI’s full potential in healthcare. Yann LeCun, Meta’s Chief AI Scientist and Turing award winner, is an advisor to Nabla.

Engineering at Nabla

Engineering at Nabla is lean, fast-moving, and deeply technical. Our teams span machine learning, native desktop applications, and platform infrastructure to deliver AI into clinical settings reliably and at scale.

Your Team

At Nabla, product development is led jointly by Engineering and Product, and organized into cross-functional squads, each focused on a specific product area. Squads bring together product managers, designers, engineers of different profiles, and domain experts, and operate with a high level of ownership. As a Back-end Engineer, you’ll join one of these squads and contribute end to end to a specific part of the product.

What You'll Do

As a Back-End Engineer, you will play a critical role in scaling Nabla’s AI-driven healthcare platform. You will take ownership of key components of our back-end systems, collaborate closely with product and machine learning teams, and help shape the technical direction of our infrastructure.

You Will

• Design, build, and evolve our server-side applications and APIs
• Lead complex integrations with external partners, especially Electronic Health Record (EHR) systems
• Continuously improve and optimize our back-end architecture and developer experience
• Contribute to architectural discussions and influence long-term technical decisions
• Collaborate closely across the team to deliver impactful end-to-end features

To Give You a Sense Of The Impact

• Nabla processes 10 billion tokens/month with LLMs
• Every week, hundreds of thousands of clinical notes are automatically generated and synced with EHRs, saving thousands of hours for clinicians
• Our APIs serve real-time workloads in high-stakes clinical environments

Your DNA

• You have strong foundations in computer science or a related discipline
• You demonstrate strong experience in back-end engineering, ideally within fast-paced, production-critical environments.
• You’re proficient in one or more widely used back-end languages (Java, Kotlin, C++, Python, etc.)
• You have experience designing, building, and maintaining scalable APIs and distributed systems (GraphQL and OpenAPI experience is a plus)
• You are comfortable driving architectural decisions and technical strategy
• You write clean, maintainable code and have high standards for software quality
• You communicate clearly in English
• Bonus: experience with cloud infrastructure, security/compliance, or healthcare data standards (FHIR)

Our stack

• Frontend: TypeScript, React, Tailwind CSS, Swift, Rust, Electron.
• Backend: Kotlin / JVM, GraphQL, PostgreSQL.
• ML & Infra: Python, PyTorch, Slurm, GCP, Terraform, Kubernetes.

Where you'll be based

Our offices are based in Paris 3e (Arts & Métiers). Remote policy: 2 days remote a week.

Benefits

Just like we’re dedicated to supporting doctors’ well-being, ensuring yours is a top priority. We firmly believe that by prioritizing your well-being, we support you to excel in your work.

Here Are The Benefits You Get When Joining Nabla

• Stock ownership
• 100% healthcare coverage
• Meal vouchers
• Public transportation costs covered at 50%
• Exercise class during the workday: Yoga, running, pilates, HIIT
• Unlimited budget for book purchases, so you can continue to learn about ML / Healthcare
• Culture of trust & accountability — your output matters more than your clock-in time