Quality Analyst, Implicity
Data Ingestion Squad
€55k
+ Employees stock option plan
Universal remote monitoring platform for cardiac patients
Be an early applicant
Universal remote monitoring platform for cardiac patients
101-200 employees
Be an early applicant
€55k
+ Employees stock option plan
101-200 employees
Company mission
To improve clinic operations and the standard of care by harnessing the full power of data.
Role
Who you are
- 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
- 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
- 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
What the job involves
- 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
- 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
- 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
- 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
Application 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
Our take
The MedTech boom has seen many innovations through the 2010s, and Implicity, a remote patient monitoring and cardiac data management company, has definitely had a clear lineage of growth since its founding in 2016.
Implicity develops software to monitor and analyze the information from pacemakers and cardiovascular devices to aid physicians and healthcare professionals through all stages of a patient’s treatment. However, maintaining growth on one product alone is hard, especially with so much MedTech competition. Implicity remedies this with its other product, a data analysis platform that uses AI and cloud technology to analyze the devices linked up to its aforementioned pacemaker and cardio health platform. Implicity leverages this data for use in patient management, clinical studies, and R&D.
Playing both fields of MedTech has diversified the draw for hospitals and companies to Implicity. It continues to update and diversify the double offering via updates to its systems with the company hoping to exemplify the continued innovation that is key to MedTech company growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
15% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Mar 2024
$2.5m
GRANT
Apr 2022
$23m
SERIES A
Total funding: $30.1m
Company HQ
North Cambridge, Cambridge, MA
Leadership
Arnaud Rosier
(Co-Founder & CEO)Currently a Cardio Electrophysiologist at Ramsay Santé Hospital. Previously a Cardiac Electrophysiologist at Groupement des Hôpitaux de l'Institut Catholique de Lille and Cardiologist at ADHP.
David Perlmutter
(Co-Founder & CIO)Previously worked in R&D at AIRTAG, as a Project Manager at HITRONETIC and as a Research Intern at CNES.
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