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Location
In office (Tunis)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 10, 2026. Questel scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Questel is an intellectual property services and software company headquartered in Paris that supports patent and trademark owners across the full IP lifecycle. Founded in 1978, it offers patent and trademark search databases, IP management software, patent annuity and renewal services, and filing and translation services, and it operates offices in Valbonne, Montpellier, Brussels, Ljubljana, Tunis, Alexandria in Virginia, Tokyo, Taipei, Tianjin and Arequipa. It hires translation coordinators and linguists, patent and trademark paralegals, software engineers, customer success and support staff, business development representatives and finance analysts.
Backed by Eurazeo

About the team and the project:

Join the R&D Trademarks Algo team, which builds and runs the trademark search engines at the heart of our platform, and help shape their next generation.

Our engines search more than 200 million trademarks worldwide and handle multiple kinds of similarity: phonetic, orthographic, grammatical and semantic. Our team is distributed across several locations. We work in an Agile way and own our services end to end, including production, with no on-call duty for now.

This is a hybrid role based in Tunis.

Your missions:

- You design, build and run the back-end services behind our trademark search engines, from new features to production reliability.

- Develop new back-end services and features, mainly in Python.

- Maintain and evolve the existing search stack, which relies on PHP and Manticore.

- Improve the relevance, performance and scalability of similarity searches over a database of more than 200 million trademarks.

- Write quality code: tested, well structured and documented.

- Use AI-assisted development tools to work faster and better, while keeping full ownership of the result.

- Investigate production issues by digging into logs and metrics, and propose lasting fixes.

- Take part in code reviews, Agile rituals and technical discussions with the distributed team.

Profile and key skills:

- We are looking for a confirmed back-end developer who is comfortable with Python and happy to work with PHP code.

Education and experience:

- Engineering degree in computer science, or equivalent solid experience in production.

- 4+ years of back-end experience in production, with a proven track record on back

end systems.

Technical skills:

- Back-end development in Python

- PHP, as we will keep working with the existing code base.

- SQL / MySQL

- Docker and Git.

- AI-assisted development.

- You produce quality code that is tested, well structured and documented.

Languages

- English: professional level (written and spoken), for daily work with distributed teams.

Soft skills

Autonomy and rigor: You propose optimizations to our architecture to improve

maintainability and performance, and carry topics from start to finish.

Analytical and investigative mindset: You enjoy digging into logs and metrics to solve

problems.

Team spirit and collaboration: You don't stay in your corner, you share your successes

and difficulties, and you embrace a blameless mentality.

Curiosity and adaptability: you like learning new things, you are not afraid of new

languages, and you can read and understand code written by other developers.

What will set you apart

For where we are heading

- Go

- ElasticSearch

- RabbitMQ/Redis

- Kubernetes

- Big data

- Machine learning

- LLMs

- CI/CD experience

To understand our existing stack

- Manticore Search

- Sphinx

Why join us:

Be a key player in bringing innovation back to the center of the product.

Work on the architectural core of the solution, withreal impact on how users search trademarks.

Join a committed team that wants to deliver the best for our users.

Tackle large-scale challenges: more than 200 million trademarks and several types of

similarity search.

Learn and grow with a stack that mixes the existing code base and new technologies

Work in a distributed, international team in a collaborative, blameless culture.

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