Staff Software Engineer

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, * 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

Do you have experience in TypeScript?, Do you have a Master's degree?, * 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

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

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.