About us

💙 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!

Job and recruitment context

At Implicity, our Data Ingestion pipeline is the backbone of everything we do, ensuring that raw device data from thousands of cardiac monitoring devices reaches cardiologists accurately and reliably. As we scale our engineering organization, we have created a dedicated Data Platform Ingestion squad and looking for a QA Analyst to own quality end-to-end across our back-end data flows.

Collaboration: You will work closely with Data Engineers, Software Engineers, Tech Lead, QA Automation Engineers, and the Product Manager of the Ingestion squad.

🧠 Your missions

As a QA Analyst – Data Ingestion, your core mission will be to own the quality of our data ingestion pipelines, from raw device data to correctly transformed and stored outputs.

You will:

• Back-end Pipeline Testing: Design and execute test plans on data ingestion pipelines, validate that raw data arrives in the expected format and is correctly transformed through each processing step.

• API & Message Broker Validation: Test REST APIs, validate data flow through RabbitMQ (and equivalent message brokers), and ensure integrity across services and databases.

• Database & Data Quality Validation: Query and validate data across SQL databases (PostgreSQL, MariaDB), BigQuery, and MongoDB to confirm accuracy and consistency post-ingestion.

• Release Management & Pre-prod Validation: Own the release acceptance testing process, deploy to preprod, validate, and sign off on quality before each production release.

• Performance Contribution: Identify and flag performance bottlenecks in ingestion flows; contribute to performance testing as the pipeline scales.

• Test Documentation & Repository: Maintain the test repository up-to-date in Xray — create, review, and version test cases for ingestion pipelines; provide clear and structured requirements for QA automation engineers to enable test automation.

  Our Technical Environment:

  Experience with all these stacks is not mandatory, just for information.

  • Cloud Infrastructure: AWS

  • Architecture: Microservices, Event-Driven patterns (RabbitMQ, message brokers)

  • Databases: PostgreSQL, MariaDB, MongoDB, BigQuery

  • Data Formats & APIs: JSON, REST APIs, web services

  • Test Management: Xray

  • Primary Languages/Frameworks: TypeScript (Node.js, NestJS for Backend)

  • Containers & Orchestration: Docker, Kubernetes

  • CI/CD: GitLab CI

  • Observability: Prometheus, Grafana, Datadog

  🥇 Your Profile and Mindset

  Experience Profile

  • Seniority & Experience: 3–4 years of software testing experience in a cloud-based or data-intensive environment

  • 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, Banking, Finance, or any regulated/data-heavy industry

  Mindset and Soft Skills

  • Data-oriented mindset: you think about data flows, transformations, and edge cases naturally

  • Technically curious: comfortable reasoning about back-end architecture without being a developer

  • Rigorous and detail-oriented: you catch what others miss, especially in data integrity

  • Agile-friendly: you thrive in a fast-paced sprint environment and adapt quickly to change

  • 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.
  

Recruitment process 

• 1st HR Contact with Astrid (Recruiter) – 30-45 min

• Job & Technical Interview with Maria (Senior QA) – 60 min - G-meet

• Team Interview with the Technical Product Manager of the Team - 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.

General information

💰 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

• 3 days per week

• Location: 29 rue du Louvre, 75002, PARIS