We are hiring a Lead Backend Engineer to build the V2 of our products by integrating AI-driven automation use cases and delivering a higher level of quality.

The context is demanding: highly customizable product, complex business logic, high volume, and a transition toward a modern architecture (microservices, event-driven).
But above all, there is a clear ambition: use AI as a lever to transform the product and accelerate engineering.

Here, backend is not a support function. It is the core engine of the product. The decisions made today will shape the platform for years to come.

You take ownership of a strategic backend scope.

The system has been built over multiple cycles with strong constraints.
We are now rebuilding the foundations: domain decomposition, data flows, consistency, observability.

You won’t just develop — you will structure, make decisions, raise the technical bar, and actively contribute to transforming the product.

You are expected to deliver on three key dimensions:

• System robustness

• Clarity of technical decisions

• Ability to integrate AI intelligently into products and engineering workflows

🚀 Key responsibilities

1. Technical ownership

• Contribute to the definition and evolution of backend architecture (microservices, event-driven)

• Make impactful, long-term technical decisions

• Challenge the existing system and simplify when needed

• Ensure overall system consistency (DDD, APIs, data flows)

2. Development & delivery

• Design and build robust services using Java / Spring Boot

• Define clear, versioned APIs aligned with product use (API-first approach)

• Handle critical topics (performance, refactoring, technical debt)

• Maintain high standards of code quality

3. Modernization & AI

• Identify concrete use cases to integrate AI into the product

• Leverage AI to improve engineering efficiency (development, testing, debugging, documentation)

• Contribute to transforming the product into a more intelligent and automated platform

• Propose tools, frameworks, and new approaches

4. Security & performance by design

• Implement Zero-Trust principles (authentication, authorization, encryption)

• Design and optimize MariaDB data models

• Use materialized views and performance strategies adapted to scale and usage

5. Scalability & performance

• Design resilient and scalable systems

• Implement event-driven architectures (Kafka or equivalent)

• Ensure reliability of data flows and consistency

6. Technical leadership

• Raise the technical level of the team

• Establish best practices (code, testing, reviews, documentation)

• Support developers in technical decision-making

• Act as a reference point

• Engineering degree (Master’s level or equivalent)

• 3–4+ years of experience in backend development (Java, Kotlin, C/C++, Rust)

• Strong understanding of microservices architecture and REST API design

• Experience with event-driven systems (Kafka, RabbitMQ, etc.)

• Good knowledge of application security best practices

• Familiar with Docker, Kubernetes, and CI/CD pipelines

• Rigorous, curious, and driven to understand the “why” behind the “how”

• HR screening (20–30 min, video)

• Hiring Manager interview (video)

• Technical test

• Onsite interviews (HR / Head of Engineering / CTO)