Fanvue
Staff Software Engineer

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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 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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Who You Are
- 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'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


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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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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