To succeed in the Licorne Society interview process, you must demonstrate both deep technical competence and a highly collaborative, pragmatic mindset. The hiring team looks for engineers who can jump into complex codebases and deliver immediate value without over-engineering solutions.

Technical Pragmatism – You should prioritize simple, maintainable, and robust code over overly clever or complex architectures. Be prepared to explain the business impact of your technical decisions and why a simpler solution is often superior in a fast-growing company.

System Design & Scalability – You must show a clear understanding of how different components of a modern web application interact. Focus on data modeling, API contract design, caching strategies, and queue management to demonstrate that you can build systems that scale gracefully.

Communication & Collaboration – Engineering at Licorne Society is highly cross-functional. You will need to articulate technical concepts clearly to non-technical stakeholders, collaborate closely with product managers, and actively participate in code reviews and architecture discussions.

Startup Mindset – You should thrive in fast-paced, sometimes ambiguous environments. Show that you are proactive, comfortable taking ownership of projects from end to end, and eager to solve real-world user problems rather than just writing code in isolation.

The interview process at Licorne Society is structured to evaluate your technical capabilities, problem-solving methodology, and cultural alignment. It is designed to be highly interactive, transparent, and respectful of your time, providing you with a clear window into how the engineering team operates day-to-day.

The journey begins with an initial screening call with a recruiter or engineering manager to align on your background, career aspirations, and mutual expectations. Following this, you will progress through a technical assessment—which may take the form of a take-home assignment or a live coding session—focused on real-world engineering challenges rather than abstract academic puzzles. The final stages involve a deep dive into system architecture, a review of your technical execution, and structured conversations with the founding or leadership team to ensure strong cultural alignment.

The timeline above outlines the typical progression of a candidate through the hiring pipeline. You should use this visual guide to pace your preparation, focusing first on core coding proficiency and practical problem-solving before transitioning to high-level architectural design and behavioral alignment. While the exact duration may vary based on team availability, the process is designed to move efficiently from initial contact to a final decision.

Backend Engineering & API Design

This evaluation area focuses on your ability to build robust, secure, and highly performant server-side applications. The engineering team values clean API contracts, proper error handling, and structured data flow.

Be ready to go over:

• RESTful API Principles – Designing clean, intuitive, and consistent API endpoints that are easy for frontend developers and external partners to consume.
• Asynchronous Processing – Utilizing message queues and background workers (such as Redis, Sidekiq, or BullMQ) to handle long-running processes off the main request-response cycle.
• Security Best Practices – Implementing robust authentication and authorization mechanisms (like JWT or OAuth), securing sensitive candidate data, and preventing common vulnerabilities (such as SQL injection and XSS).
• Advanced concepts (less common) – Microservices orchestration, event-driven architectures, and implementing rate-limiting or throttling policies at the gateway level.

Example questions or scenarios:

• "How would you design an API endpoint that allows clients to export large datasets of candidates in CSV format without causing timeout errors on the server?"
• "Explain how you would implement a secure webhook system to notify external client ATS platforms when a candidate's status changes."

Data Modeling & Database Optimization

Data is the core asset of Licorne Society. This area tests your ability to design clean relational schemas, write optimized queries, and manage data persistence layer efficiency.

Be ready to go over:

• Relational Schema Design – Designing normalized SQL schemas that accurately represent complex business entities (users, clients, jobs, applications) while maintaining referential integrity.
• Indexing Strategies – Identifying slow-running queries and applying appropriate indexing strategies to dramatically speed up read operations.
• Caching Patterns – Implementing caching layers (such as Redis) to store frequently accessed, slow-changing data and reduce database load.
• Advanced concepts (less common) – Database partitioning, read-replicas configuration, and handling complex full-text search indexing (e.g., PostgreSQL tsvector or Elasticsearch).

Example questions or scenarios:

• "Walk me through how you would optimize a complex SQL query containing multiple JOINs and subqueries that is currently taking over two seconds to execute."
• "How would you structure the database tables to support a highly flexible tagging system where candidates can have hundreds of dynamic skill tags?"

System Architecture & Pragmatic Design

This area evaluates your ability to look at the big picture and design systems that are scalable, maintainable, and aligned with business goals.

Be ready to go over:

• Service Modularization – Breaking down a monolithic application into clean, modular components or services when the domain complexity warrants it.
• Third-Party Integrations – Designing resilient integration layers with external APIs (such as LinkedIn, ATS systems, or email delivery services) that handle failures gracefully.
• Monitoring & Observability – Setting up logging, metrics, and alerting systems to proactively detect and diagnose production issues before they affect users.
• Advanced concepts (less common) – Serverless architecture deployments, infrastructure-as-code (Terraform), and container orchestration (Docker/Kubernetes).

Example questions or scenarios:

• "Design a scalable system that ingests thousands of job postings daily from various external sources, deduplicates them, and indexes them for search in real-time."
• "How would you architect a system to handle a sudden, massive spike in traffic during a major marketing campaign or newsletter release?"

As a Software Engineer at Licorne Society, your day-to-day work will directly shape the core platform and the internal tooling used by recruitment teams. You will write clean, well-tested code, design scalable backend architectures, and collaborate closely with cross-functional partners to deliver high-impact features.

You will be responsible for the entire lifecycle of your features, from initial technical design and database modeling to deployment, monitoring, and iterative improvement. This means working closely with product managers to refine requirements, collaborating with frontend engineers on API contracts, and participating in peer code reviews to maintain high engineering standards. Additionally, you will play an active role in optimizing the platform's performance, ensuring database queries remain fast, APIs are highly responsive, and background jobs process efficiently.

Beyond feature development, you will contribute to the continuous improvement of the engineering culture. This includes writing clear technical documentation, mentoring fellow developers, and identifying areas where technical debt can be refactored to improve developer velocity. Your work ensures that Licorne Society remains a fast, reliable, and intelligent platform capable of supporting the rapid growth of the tech ecosystem.

To be competitive for the Software Engineer role, you should possess a strong foundation in modern software engineering practices, database management, and system design, combined with a highly collaborative and proactive mindset.

• Must-have skills

  • Strong proficiency in modern backend languages and frameworks (e.g., Node.js, Ruby on Rails, Python, or Go).
  • Deep understanding of relational databases (PostgreSQL or MySQL), including schema design, query optimization, and indexing.
  • Proven experience designing, building, and consuming secure, high-performance RESTful APIs.
  • Solid understanding of software testing methodologies, including writing comprehensive unit and integration tests.
  • Strong communication skills, with the ability to articulate complex technical concepts in both French and English.

• Nice-to-have skills

  • Experience working with modern frontend frameworks (e.g., React, Vue.js, or Svelte) for full-stack versatility.
  • Familiarity with cloud platforms (AWS, GCP, or Heroku) and containerization tools like Docker.
  • Experience building search-heavy applications using Elasticsearch or PostgreSQL full-text search.
  • Prior experience working in a fast-growing startup or scaleup environment.

Q: What is the typical tech stack at Licorne Society? A: The core platform leverages robust, modern backend frameworks (often Ruby on Rails or Node.js) paired with PostgreSQL for data persistence and Redis for caching and background jobs. The frontend is typically built using modern JavaScript/TypeScript frameworks like React or Vue.js, all deployed on cloud-native infrastructure.

Q: How long does the entire interview process take? A: The interview process is highly streamlined and typically takes between two to four weeks from the initial application to the final offer, depending on candidate availability and scheduling constraints.

Q: What is the remote work policy? A: Licorne Society offers a flexible hybrid work environment, allowing engineers to work remotely while maintaining regular in-office days at their offices in Paris or Montpellier to foster team collaboration and alignment.

Q: How does the engineering team handle technical debt? A: Technical debt is managed pragmatically. The team dedicates a portion of every sprint cycle to refactoring, improving test coverage, and upgrading dependencies, ensuring that developer velocity remains high while delivering key business features.

To truly stand out during the Licorne Society interview process, you should approach every conversation with a blend of engineering rigor and startup pragmatism.

• Focus on the "Why" – When discussing your past projects or solving technical challenges, do not just explain what you built. Focus heavily on why you made those specific architectural choices, what trade-offs you evaluated, and how they served the business goals.
• Showcase Pragmatism – In startup environments, shipping a clean, working solution today is almost always better than a perfect, over-engineered solution next month. Demonstrate that you know how to build modular, extensible systems that can be iterated on easily as requirements evolve.

• Write Clean, Self-Documenting Code – During live coding or take-home assignments, treat the code as if it were going straight to production. Use meaningful variable names, write modular functions, handle edge cases gracefully, and include clear, concise comments where necessary.
• Prepare Thoughtful Questions – The end of the interview is a powerful opportunity to show your curiosity and alignment. Ask deep, insightful questions about their engineering culture, the scaling challenges they are currently facing, or the long-term vision of the product.

The Software Engineer position at Licorne Society is an exceptional opportunity to build the core platform driving the growth of the top startups in France and Europe. By working on high-impact matching algorithms, robust data pipelines, and scalable backend services, you will directly influence how high-growth companies build their teams and scale their operations.

To succeed, focus your preparation on solidifying your backend engineering fundamentals, mastering database optimization, and practicing clean, pragmatic system design. Approach the interview process not just as a technical evaluation, but as a collaborative dialogue where you can showcase your problem-solving methodology, your communication clarity, and your passion for the startup ecosystem.

The salary data reflects the competitive compensation packages offered within the French startup ecosystem, with variations based on geographic location, seniority, and specific technical expertise. When reviewing these figures, keep in mind that base salary is typically complemented by equity options (BSPCE) and comprehensive health benefits, aligning your long-term success with the growth of the company. For deeper salary insights, real-world interview reviews, and additional preparation resources, explore the community-driven data on Dataford to ensure you are fully prepared for your conversations. Good luck—your journey to shaping the future of the startup ecosystem starts here!