About Opensee
Opensee is an AI-powered data solution for financial institutions, providing interactive data quality, aggregation, analytics, and reporting. Our platform enables banks, hedge funds, and asset managers to interactively explore and analyze massive datasets swiftly and precisely. With Agensee, our Agentic AI solution, users can engage with their data in real time using natural language, whether within the Opensee platform or as a standalone AI layer on their existing infrastructure. By unlocking instant insights, automation, and scalable analytics, Opensee transforms decision-making and operational efficiency for the financial industry.
Headquartered in Paris, with offices in London, Frankfurt, New York, and Singapore, we are proud to work with a trusted client base across banks, hedge funds, and asset managers.
Learn more at opensee.io.
About us
A culture of collaboration : At Opensee, you’ll work in an open and supportive team.
Team spirit and innovation: Work in a diverse environment where innovation and creativity are highly valued.
A growth-oriented environment: Benefit from a wealth of development opportunities as we constantly seek new talents to join us, and support our growth. Develop expertise in one of the most advanced solutions for risk aggregations.
Internship Objective
We are seeking a motivated and curious QA Intern to help us enhance our automated testing framework with advanced database connectivity. You’ll work with Python, SQL, and QA tools to design a lightweight framework that connects to and executes queries on multiple databases deployed via Docker and Kubernetes across distributed servers.
Your mission
Develop Python-based utilities to connect to different types of databases (PostgreSQL and Clickhouse).
Create and run queries to validate data consistency, accuracy, and performance across environments.
Understand and improve existing QA test suites.
Write and optimize SQL queries for validation and performance checks.
Ensure automated tests run seamlessly across multiple distributed environments (Docker/Kubernetes).
Collaborate with QA engineers and developers to expand test coverage.
Document your work and share best practices with the team.
Good to have
Academic background in Computer Science, Software Engineering, or related field.
Solid foundation in Python programming.
Understanding of database structures and relational models.
Proficiency in SQL for querying and validation.
Familiarity with Git and version control.
Strong problem-solving and communication skills.
Even if you don’t meet all the listed skills, don’t hesitate to apply. Internships are all about learning and growing, and we’re flexible — what matters most is your motivation and curiosity.
Bonus Skills
Experience with Databases.
Knowledge of Docker, Kubernetes, or distributed systems.
Familiarity with data validation and test automation frameworks (pytest/playwright).
Exposure to CI/CD tools (GitLab CI, Jenkins, GitHub Actions).
What We Offer
Hands-on experience with modern QA engineering practices.
Mentorship from experienced QA engineers \& developers.
Opportunity to build tools used in real-world testing pipelines.
Access to internal resources and exposure to AI-assisted workflows.
Position details
Position type: Full-time position
Start date: As soon as possible (flexible)
Location: Paris- Défense
Mandatory internship agreement, preferably a final-year internship
Recruitment process
HR interview: 30’
Technical interview: 1 hour
Manager interview: 1 hour
How to apply
Send us your resume and a brief description of why you are interested in joining us, and we will come back to you shortly!
If you would like to learn more about our company, our culture, and our opportunities, you can visit our page on Welcome to the Jungle.