At a Glance
- Tasks: Lead technical initiatives to scale and optimise our AI-powered platform.
- Company: Join Fanvue, a rapidly growing creator monetisation platform with a vibrant culture.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Be part of a diverse team that values innovation and collaboration.
- Why this job: Make a real impact in AI engineering while mentoring fellow engineers.
- Qualifications: 10+ years in software engineering with expertise in distributed systems and AI.
The predicted salary is between 80000 - 100000 £ per year.
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.
The RoleYou'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
- 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
- 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
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.
Staff Software Engineer in London employer: Fanvue
Contact Detail:
Fanvue Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Software Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Fanvue on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects that highlight your experience in building scalable systems, make sure to share it during interviews. It’s a great way to demonstrate your expertise.
✨Tip Number 3
Prepare for technical challenges! Brush up on your knowledge of distributed systems and AI infrastructure. Be ready to discuss how you've tackled similar problems in the past—Fanvue loves hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re genuinely interested in joining the Fanvue team.
We think you need these skills to ace Staff Software Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Staff Software Engineer role. Highlight your experience with distributed systems, AI infrastructure, and any relevant projects you've led. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for the role. Share specific examples of how you've tackled engineering challenges and mentored others. Let us know why you're excited about working at Fanvue and how you can contribute to our growth.
Showcase Your Technical Skills: In your application, don't shy away from mentioning your technical expertise in TypeScript, Node.js, Go, and AWS. If you've worked on scaling systems or optimising databases, make sure to include those details. We love seeing concrete examples of your work!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures it gets into the right hands. Plus, it shows us you're serious about joining our team at Fanvue!
How to prepare for a job interview at Fanvue
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in PostgreSQL, TypeScript, Node.js, and Go. Brush up on your knowledge of event-driven architectures and service decomposition patterns like the Strangler Fig. Being able to discuss these technologies confidently will show that you’re ready to tackle the challenges at Fanvue.
✨Prepare Real-World Examples
Think of specific instances where you've successfully scaled systems or optimised databases for high-throughput workloads. Be ready to share how you approached these problems and what the outcomes were. This will demonstrate your hands-on experience and problem-solving skills.
✨Show Your Mentorship Skills
Fanvue values mentorship, so be prepared to discuss how you've helped elevate other engineers in your previous roles. Share examples of code reviews, design sessions, or any initiatives you’ve led to foster a collaborative environment. This will highlight your leadership qualities.
✨Embrace AI Tools
Since AI is central to Fanvue's operations, be ready to talk about your experience with AI coding tools like Cursor or Claude Code. Discuss how you’ve integrated these tools into your workflow and how they’ve improved your team's efficiency. This will show that you’re aligned with their innovative approach.