Staff Software Engineer

🕒 il y a 6 mois

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 31%

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🗣️🇺🇸🇬🇧 Anglais requis

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fanvue

51 - 200 employés

Fondée en 2021

👥 B2C

🛍️ eCommerce

🌍 Impact social

B2C • eCommerce • Social Impact

fanvue est une plateforme sociale par abonnement qui permet aux créateurs de partager, gagner et interagir avec leurs fans. Elle intègre des fonctionnalités d'intelligence artificielle, telles que la messagerie et l'analyse, pour améliorer l'expérience utilisateur tout en offrant un mur payant pour du contenu exclusif. La plateforme s'adresse à une vaste gamme de créateurs, y compris des influenceurs, des artistes et des athlètes, leur permettant de monétiser leur travail et de construire des communautés avec leurs abonnés.

Description

• Lead technical initiatives that directly impact platform scalability and reliability • Scale our systems from PostgreSQL to event-driven architecture, designing for tens of millions of MAU • Drive monolith-to-services decomposition using proven patterns you have executed before • Design and implement database optimisation strategies for high-throughput workloads • Build and scale AI infrastructure, including vector stores, embedding pipelines, and LLM orchestration • Architect systems for AI-powered features, including automated chat, content moderation, and recommendations • Use AI coding tools (Cursor, Claude Code) to accelerate delivery and help define team standards • Build platform primitives that enable other teams to ship faster • Mentor engineers across the organisation through code reviews, design sessions, and pairing • Contribute to architecture decisions and technical strategy • Participate in incident response and drive reliability improvements

🎯 Exigences

• 10+ years of hands-on software engineering experience building and shipping at scale • Proven track record with distributed systems serving tens of millions of MAU • Deep expertise in TypeScript, Node.js, Go, and AWS • Strong experience with PostgreSQL at scale, including query optimisation, partitioning, and replication • Experience with service-oriented architectures and decomposition patterns (Strangler Fig, domain-driven design) • Familiarity with AI and ML infrastructure, including vector databases, embeddings, and LLM APIs • Fluent with AI-assisted development tools and keen to help teams adopt them effectively • A natural mentor who elevates other engineers through example, not authority • Strong communicator who can translate complex technical concepts for any audience

🏖️ Avantages

• Impact at scale: Fanvue supports hundreds of thousands of creators and millions of fans globally • AI-native engineering: we are not bolting AI on. It is core to our product and how we build • Proven IC track: this is a company that values deep technical excellence, not just management progression • Series A momentum: triple-digit growth means the problems you solve today define the platform for years • World-class engineering team: work alongside engineers who have shipped at scale across leading tech companies

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