Frontier Software Engineer – AI-driven Onchain Infra

Merkl; Paris; Hybride; EUR 90 000 - 150 000; Plein temps

Avantages offerts par ce poste

Health insurance

Five weeks paid time off

Flexible benefits

Equipment stipend

Central Paris office

Team retreats

Résumé du poste

Merkl is seeking a Software Engineer for the Frontier team in Paris to help build the next phase of our platform. You will work at the crossroads of engineering, product and AI, shipping end-to-end features—from databases and APIs to user interfaces—while shaping data models for large onchain datasets.

You will join a small, ambitious team that values rapid iteration, ownership, and collaboration across disciplines.

Qualifications

• Strong foundations in algorithms, logic and data modeling. Early-career profiles (0 to 5 years) welcome.
• Solid programming experience and the ability to ship a feature end to end: database, API, interface.
• Comfort with rapid iteration and validation using live or historical data.

Responsabilités

• Anticipate where the market and our own ways of working are heading.
• Find bottlenecks that slow down our teams and clients, and design the solution.
• Lead projects from the first exploration to production.
• Build the logic and abstractions behind new products on top of Merkl's indexing and distribution engine.
• Ship the full product surface, from API routes to the interface.
• Hand over mature projects with the required documentation.
• Design data models and database structures that ingest and serve large volumes of onchain data.
• Engage with partners and early users to gather feedback and iterate quickly.

Connaissances

Logic and abstraction

Product-minded

Ownership

Collaborative

AI tools familiarity

Outils

TypeScript

Go

PostgreSQL

Kubernetes

Description du poste

Merkl is seeking a Software Engineer for the Frontier team in Paris to help build the next phase of our platform. You will work at the crossroads of engineering, product and AI, shipping end-to-end features—from databases and APIs to user interfaces—while shaping data models for large onchain datasets.

You will join a small, ambitious team that values rapid iteration, ownership, and collaboration across disciplines.