Join Qantev as a technical anchor owning the backend architecture that powers real-time insurance claim automation. You will design and scale high-throughput services using FastAPI and Kafka, ensuring robust data processing for millions of patients. This is a high-impact, code-centric role where you solve complex scalability challenges within a fast-growing, engineering-led organization.
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Senior Backend Engineer at Qantev
Qantev is revolutionizing health insurance by replacing manual claims processing with real-time AI. If you have 5+ years of experience scaling production systems and want to own core infrastructure that impacts millions of patients globally, this is your chance to join a high-growth team where technical excellence and clean code drive real-world outcomes.
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Location
Paris, France
Compensation
Not Disclosed
Company
Qantev
Role overview
Healthcare SoftwareParis, FranceSeries B (VC-backed)
Qantev is a Paris-based technology startup specializing in artificial intelligence-driven claims management for health and life insurance companies. Its automated software suite streamlines insurance operations, detects fraud, waste, and abuse, and optimizes healthcare provider networks. Qantev’s platform uses AI to deliver critical insights to operations teams, enabling efficient cost containment, faster claims processing, and improved service quality for insurance members. Features include claims data cleaning, medical coding, policy checks, fraud detection, network performance optimization, and strategic decision support. Qantev’s business model is typically software-as-a-service (SaaS), allowing insurers to enhance operations, reduce costs, and elevate customer experience through advanced AI automation.
Backed by Blossom Capital, Elaia, Omnes, RAISE Venture, Entrepreneur First, Plug and Play Tech Center, Gwénaël Moy, Nadav Rosenberg.
What you will do
- Design and develop high-quality software architecture for core backend services using FastAPI, ensuring precision and technical excellence across the entire platform.
- Optimize and maintain mission-critical data pipelines and event-driven architectures leveraging Kafka and Postgres to handle high-volume insurance claim data at production scale.
- Collaborate with cross-functional teams to automate complex development tasks, review code for performance, and maintain a robust infrastructure using Kubernetes and ArgoCD.
Who this is a fit for
- Possesses 5+ years of software engineering experience with expert-level proficiency in Python and FastAPI, specifically building scalable, production-grade backend applications.
- Demonstrates deep hands-on expertise in running and optimizing Postgres and Kafka in production environments, with a strong understanding of large-scale distributed systems.
- Values code simplicity and performance, brings strong communication skills for explaining complex concepts, and is fluent in English to support global client collaborations.
Why this role is remarkable
- Tackle a massive, antiquated industry by replacing slow manual spreadsheets with high-performance AI that processes claims for global health insurers in real time.
- Join a well-funded Series B company (€41M+ raised) that is already past the experimental phase and scaling production systems across Europe, Asia, and the Middle East.
- Operate as a technical anchor with high autonomy, making critical architectural decisions and shipping code daily alongside a veteran team of elite software and data engineers.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
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What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Qantev wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.