Staff Software Engineer

đź•’ vor 7 Monaten

🇬🇧 Vereinigtes Königreich – Remote

⏰ Vollzeit

đź”´ Experte

🧑‍💻 Full-Stack-Entwickler

đź‘» Geisterscore 35%

infoinfo

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of fanvue

fanvue

51 - 200 Mitarbeiter

GegrĂĽndet 2021

👥 B2C

🛍️ eCommerce

🌍 Soziale Wirkung

B2C • eCommerce • Social Impact

fanvue ist eine Abonnement-Sozialplattform, die Kreative befähigt, Inhalte zu teilen, zu verdienen und mit ihren Fans in Kontakt zu treten. Sie kombiniert AI-Funktionen wie Messaging und Analytik, um das Benutzererlebnis zu verbessern und bietet eine Paywall für exklusive Inhalte. Die Plattform bedient eine vielfältige Palette von Kreativen, darunter Influencer, Künstler und Sportler, und ermöglicht es ihnen, ihre Arbeit zu monetarisieren und Gemeinschaften mit ihren Followern aufzubauen.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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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