Quality Analyst - Data Ingestion Squad

About us

Implicity is a digital Med Tech, 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, customer 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 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 are 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.

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:

• 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.
• Test REST APIs, validate data flow through RabbitMQ and equivalent message brokers, and ensure integrity across services and databases.
• Query and validate data across SQL databases (PostgreSQL, MariaDB), Big Query, and MongoDB to confirm accuracy and consistency post-ingestion.
• Own the release acceptance testing process, deploy to preprod, validate, and sign off on quality before each production release.
• Identify and flag performance bottlenecks in ingestion flows; contribute to performance testing as the pipeline scales.
• 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.

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, Big Query
• Data Formats & APIs: JSON, REST APIs, web services
• Test Management:
  Xray
• Primary Languages/Frameworks:
  Type Script (Node.js, NestJS for Backend)
• Containers & Orchestration:
  Docker, Kubernetes
• CI/CD:
  Git Lab CI
• Observability:
  Prometheus, Grafana, Datadog

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…