Summary
✨ AI‑Generated
A rapidly scaling technology platform is looking for a Staff Software Engineer experienced in solving complex systems problems at massive scale. You will work on real-time architectures, decompose monolithic systems, strengthen infrastructure reliability, and drive major technical decisions while helping shape the organization's adoption of AI in software engineering.
Highlights
Staff-level engineering position with a £110,000–£150,000 salary range and significant equity. The role offers the opportunity to solve large-scale distributed-systems challenges, influence architecture, improve reliability, and work at the forefront of AI-assisted software development.
Description
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 + significant equity
📍 Salary based on London.
Other locations may vary.
🎯 The Role
You'll own technical initiatives that directly impact platform scalability and reliability at a company growing at triple-digit rates.
Our stack is currently on PostgreSQL and moving to an event-driven architecture.
You'll lead the monolith-to-services decomposition, optimise databases for high-throughput workloads, and build the AI infrastructure (vector stores, embedding pipelines, LLM orchestration) that powers our product.
Beyond execution, you'll be a bar raiser and mentor, and your presence will elevate the engineers around you.
🚀 What You'll Do
Lead technical initiatives that directly impact platform scalability and reliabilityScale our systems from PostgreSQL to event-driven architecture, designing for tens of millions of MAUDrive monolith-to-services decomposition using proven patterns you have executed beforeDesign and implement database optimisation strategies for high-throughput workloadsBuild and scale AI infrastructure, including vector stores, embedding pipelines, and LLM orchestrationArchitect systems for AI-powered features, including automated chat, content moderation, and recommendationsUse AI coding tools (Cursor, Claude Code) to accelerate delivery and help define team standardsBuild platform primitives that enable other teams to ship fasterMentor engineers across the organisation through code reviews, design sessions, and pairingContribute to architecture decisions and technical strategyParticipate in incident response and drive reliability improvements
👀 Who You Are
10+ years of hands-on software engineering experience building and shipping at scaleProven track record with distributed systems serving tens of millions of MAUDeep expertise in TypeScript, Node.js, Go, and AWSStrong experience with PostgreSQL at scale, including query optimisation, partitioning, and replicationExperience with service-oriented architectures and decomposition patterns (Strangler Fig, domain-driven design)Familiarity with AI and ML infrastructure, including vector databases, embeddings, and LLM APIsFluent with AI-assisted development tools and keen to help teams adopt them effectivelyA natural mentor who elevates other engineers through example, not authorityStrong 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 impactYou enjoy being the person others turn to for hard problemsYou care about building systems that last, not just shipping featuresYou are motivated by mentoring and raising the bar for teamsYou are excited about the intersection of AI and platform engineering
⚠️ You'll Struggle Here If
You prefer management or strategy over hands-on engineeringYou are not comfortable owning reliability and on-call responsibilitiesYou see mentoring as outside your job descriptionYou 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 itFanvue supports hundreds of thousands of creators and millions of fans globally.
The problems you solve here are real and immediateAI-native engineering: we are not bolting AI on.
It is core to our product and how we buildA company that values deep technical excellence, not just management progressionSeries A momentum: triple-digit growth means the problems you solve today define the platform for yearsWork alongside engineers who have shipped at scale across leading tech companiesSignificant equity so you share in what we're building togetherFully remote with unlimited PTO, flexible working hours, a London office and WeWork access when you want itSalary reviews every six months, we don't wait for annual cycles to recognise your growthTravel and office budgets for team off-sites or kitting out your home setupBenefits 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.