Implicity is a digital MedTech, that brings outstanding innovations to cardiologists, thanks to Big Data and Artificial Intelligence.
Thanks to our leading cardiac remote monitoring platform, it’s way easier to manage data and predict patient issues, so that cardiologists can bring the best care at the best time.
To put it simply, when you join Implicity, you’ll contribute to save lives with us
Dr Arnaud Rosier (cardiologist and AI researcher) & David Perlmutter (engineer and entrepreneur), co-founded Implicity in 2016.
10+ years later, a French Start-Up / Scale-Up is a real game changer in the healthcare market, literally shaping the future of cardiology.
250+ hospitals / medical centers are already using our solutions, covering 100 000+ patients.
At Implicity, you will find the greatest experts in data science, engineering, clinical, regulatory, IT, sales, customers success, etc. working together.
This amazing team already managed to make Implicity a clear European leader, and we will very soon do the same in the US market.
In a nutshell, thanks to Implicity:
Patients get a far better care
Doctors’ life is far easier, they can have a far better focus on prevention/treatment, and not admin/data burden
Healthcare payers (Social Security in France) eventually pays a far lower price (preventing/monitoring instead of treating/hospitalizing)
It can start as soon as you can!
At Implicity, our Billing Solution is a critical and functionally rich module at the heart of how we work with hospitals, medical centers, and healthcare payers. As we scale our engineering organization and dedicate a squad to this domain, we are looking for a QA Analyst for the Billing Squad to own quality end-to-end on one of our most complex functional areas.
Collaboration: You will work closely with the Tech Lead, Product Manager, Software Engineers, QA Automation Engineers, and the broader Billing squad.
As a QA Analyst in Billing Squad, your core mission will be to ensure the quality and reliability of our Billing module, a functionally rich environment where your analytical sharpness and force de proposition will make a real difference.
You will:
Functional Mastery: Deeply understand the Billing module, its workflows, rules, edge cases, and business logic and design test scenarios that reflect real-world usage.
PDF Generation Testing: Validate accurate generation of billing documents and reports, ensuring content, formatting, and data accuracy across all cases and edge cases.
Quality Ownership: Position yourself as the central QA voice in the squad, from grooming to release, your quality perspective shapes how the team builds and ships.
Grooming & Risk Anticipation: Actively participate in grooming sessions to identify quality risks early, challenge assumptions, and ensure acceptance criteria are testable.
Performance Awareness: Identify and flag performance issues on billing flows, particularly on high-volume scenarios.
Test Documentation & Repository: Maintain the test repository up-to-date in Xray, create, review, and version test cases for billing workflows; provide clear and structured requirements for QA automation engineers to enable test automation.
Experience with all these stacks is not mandatory, just for information.
Cloud Infrastructure: AWS
Architecture: Microservices, Event-Driven patterns (RabbitMQ, etc)
UI Testing: Playwright
Document Generation: PDF reports & billing documents
Test Management: Xray
Primary Languages/Frameworks: TypeScript (Node.js, NestJS for Backend)
Front-end : Angular
Containers & Orchestration: Docker, Kubernetes
CI/CD: GitLab CI
Observability: Prometheus, Grafana, Datadog
Experience Profile
Seniority & Experience: 3–4 years of software testing experience on functionally rich products or complex SaaS environments
Education: Degree in Computer Science, Engineering, or equivalent
Technical skills: Experience with backend validation techniques, including API and database checks, to ensure test coverage.
Sector Experience (Bonus): Healthcare, Finance, Insurance, or any domain involving complex billing or document generation workflows
Mindset and Soft Skills
Analytical thinker: you break down complex functional scenarios systematically and spot risks proactively
Proactive mindset: you come with ideas, not just bugs — you suggest improvements proactively and constructively
Clear communicator: you express your quality assessment in a structured, actionable way that resonates with both Product and Tech
Quality champion: you understand the central role of QA and embrace it as a driving force in the squad's success
AI usage: We value engineers who use AI-assisted tools (Cursor, Claude, Copilot).
Health & Privacy (Bonus): Interest in healthcare data and familiarity with GDPR/HDS. Previous exposure to FHIR is a plus.
A Note on Applying: We know the perfect candidate doesn't exist. If you believe you possess the core required experience and strongly align with this mindset, we highly encourage you to apply.
1st HR Contact with Astrid (Recruiter) – 30-45 min
Job & Technical Interview with Maria (Senior QA) – 60 min - G-meet
Team Interview with Squad Tech Lead - 30 min - G-meet
Fit & Vision Interview with Louay (CTO) - 1 hour - On-site
Reference Check & Offer (usually follows within 72 hours )
Depending on your availability, the recruitment process should last less than 3-4 weeks.
Salary
For this job (full-time), you have a base salary depending on your experience (around 55k per year)
Employees stock option plan (BSPCE) subject to customary conditions
Benefits
Health care plan: Alan (50% employer)
Luncheon voucher: 9€ (50% employer)
Transport: 50% of your pass OR sustainable mobility pass
Remote work & Location
