Senior Backend Product Engineer – Python/Go

🕒 vor 1 Monat

🌐 Frankreich, Deutschland, +4 weitere Länder – Remote

🇫🇷 Frankreich – Remote 🇩🇪 Deutschland – Remote 🇮🇹 Italien – Remote 🇷🇸 Serbien – Remote 🇵🇹 Portugal – Remote 🇪🇸 Spanien – Remote

⏰ Vollzeit

🟠 Senior

🔙 Backend-Entwickler

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Lebenslauf hochladen

Qonto

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

💳 Fintech

🤝 B2B

🏦 Bankwesen

💰 €500.000 Grant im 2022-10

Fintech • B2B • Banking

Qonto ist die führende europäische Business-Finance-Lösung. Sie vereinfacht alles von alltäglichen Bankgeschäften und Finanzierungen bis hin zu Buchhaltung und Ausgabenmanagement. Qonto befähigt KMUs und Freiberufler, damit sie mehr erreichen können.

Beschreibung

• Join our AI Lab as a Senior Backend Product Engineer and help accelerate Qonto's transition to an AI-first product. • Ship user-facing AI agents that transform how 600,000+ businesses manage their finances, working in small, autonomous squads under the guidance of our Manager for the AI Lab. • Build & deliver a new AI agent every 6 weeks, owning the full backend and AI logic from scoping to deployment — balancing speed with reliability and minimal technical debt. • Architect pragmatic LLM guardrails and future-proof components that hold up in a regulated banking environment and don't need rewriting three months later. • Use AI coding tools (Cursor, Claude Code, Copilot…) for ~70% of your coding to review, refine, and ship features faster. • Contribute to frontend (React/JS) when needed, with the front-end engineer reviewing your PRs — so the squad stays unblocked.

🎯 Anforderungen

• Python expertise: You have strong production experience in Python and know how to ship at pace — Go/RoR knowledge is a plus for integrating with Qonto's core services. • Go or Ruby on Rails knowledge: Qonto's core services are built on Go and Ruby — working knowledge of either will make you significantly more effective integrating with the broader platform. • Startup mindset: You're a fast learner and confident shipper who comes from a product-driven, user-centric environment and thrives without a tech lead to lean on — fintech or regulated industry experience is a plus. • AI-native workflow: You use AI coding tools daily to amplify your output. Cursor or Claude Code isn't something you're trying — it's how you work. • AI curiosity over AI expertise: Production AI experience isn't required. What matters is genuine curiosity: you follow the space, experiment on the side, and have tried building something, even just for yourself. • Strong communication: You articulate technical decisions clearly to non-technical stakeholders and navigate cross-functional squads with ease.

🏖️ Vorteile

• Unlimited access to the best AI tools on the market: Claude Code (with the Superpowers plugin), Cursor, Copilot, Notion AI. • A Python-first stack with hands-on AI agent work from day one — PydanticAI, LangGraph, LangChain in the mix (framework awareness appreciated; production expertise not required). • A lean culture where autonomy is the default — you're building the agents, not just using them, owning the outcome end to end in a squad with minimal process and every hour counting. • A clear growth path: this role is designed to evolve toward an AI Software Engineer role. If becoming an AI-native engineer is your ambition, this is where it happens.