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.
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.
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
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
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 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
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
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.
