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Staff Software Engineer

🇬🇧 United Kingdom

Management

Node.js

TypeScript

AWS

PostgreSQL

Machine Learning

Design

Backend

Staff Software Engineer

from 🇬🇧 United Kingdom

Fanvue is one of the fastest-growing creator monetisation platforms globally. We're an AI-powered, creator-first platform helping creators connect, engage, and earn directly from their audiences at scale. Following our recent Series A, Fanvue has surpassed $100M+ in annual recurring revenue, with triple-digit year-on-year growth, supporting hundreds of thousands of creators and millions of fans worldwide.

We're hiring a Staff Software Engineer with extensive experience building systems at scale. This is a role for someone who has already solved the hard problems — scaling real-time systems, decomposing monoliths, building reliable infrastructure for millions of users. You'll tackle engineering challenges that other companies have faced before, where your experience lets us skip the learning curve and go straight to execution. AI is transforming how we build software, and you'll be at the centre of that shift.

💰 £110,000–£150,000

📍 Salary based on London. Other locations may vary.

🎯 The Role

You'll owntechnical initiatives that directly impactplatform scalability and reliability at a company growing at triple-digit rates. Our stack is currently on PostgreSQL and moving to anevent-driven architecture. You'll lead themonolith-to-services decomposition, optimise databases forhigh-throughput workloads, and build theAI infrastructure (vector stores, embedding pipelines, LLM orchestration) that powers our product. Beyond execution, you'll be abar raiser and mentor, and your presence will elevate the engineers around you.

🚀 What You'll Do

  • Lead technical initiatives that directly impactplatform scalability and reliability

  • Scale our systems from PostgreSQL toevent-driven architecture, designing fortens of millions of MAU

  • Drivemonolith-to-services decomposition using proven patterns you have executed before

  • Design and implementdatabase optimisation strategies forhigh-throughput workloads

  • Build and scaleAI infrastructure, including vector stores, embedding pipelines, and LLM orchestration

  • Architect systems forAI-powered features, including automated chat, content moderation, and recommendations

  • UseAI 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 inincident response and drive reliability improvements

👀 Who You Are

  • 10+ years of hands-on software engineering experience building and shipping at scale

  • Proven track record withdistributed systems servingtens of millions of MAU

  • Deep expertise inTypeScript, Node.js, Go, and AWS

  • Strong experience withPostgreSQL at scale, including query optimisation, partitioning, and replication

  • Experience withservice-oriented architectures and decomposition patterns (Strangler Fig, domain-driven design)

  • Familiarity withAI and ML infrastructure, including vector databases, embeddings, and LLM APIs

  • Fluent withAI-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

✨ You'll Thrive Here If

  • You want to apply your experience where it will have immediate, visible impact

  • You enjoy being the person others turn to for hard problems

  • You care about building systems that last, not just shipping features

  • You are motivated by mentoring and raising the bar for teams

  • You are excited about the intersection of AI and platform engineering

⚠️ You'll Struggle Here If

  • You prefer management or strategy over hands-on engineering

  • You are not comfortable owning reliability and on-call responsibilities

  • You see mentoring as outside your job description

  • You are resistant to AI tools changing how engineering works

🌍 Why Join Fanvue

  • Sunday Times Best Places to Work, two years running. We don't just say we have great culture, we prove it

  • Fanvue supports hundreds of thousands of creators and millions of fans globally. The problems you solve here are real and immediate

  • AI-native engineering: we are not bolting AI on. It is core to our product and how we build

  • 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

  • Work alongside engineers who have shipped at scale across leading tech companies

  • Significant equity so you share in what we're building together

  • Fully remote with unlimited PTO, flexible working hours, a London office and WeWork access when you want it

  • Salary reviews every six months, we don't wait for annual cycles to recognise your growth

  • Travel and office budgets for team off-sites or kitting out your home setup

  • Benefits package including gym memberships, apps, and more we're actively building out

⭐ Fanvue is for Everyone

We believe the best teams are built on diversity of thought, background, and experience. We welcome applications from everyone regardless of gender, ethnicity, sexual orientation, religion, disability, or age. What matters to us is potential, mindset, and what you will build.

by @maxrusakovic