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, and opportunities for professional growth.
- Other info: Diverse team environment focused on innovation and collaboration.
- Why this job: Make a real impact in AI-driven engineering while mentoring fellow engineers.
- Qualifications: 10+ years in software engineering with expertise in distributed systems and AI infrastructure.
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.
You will 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
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
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
- 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 employer: Fanvue LLC
At Fanvue, we pride ourselves on being a leading employer in the tech industry, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through mentorship opportunities and a focus on technical excellence, allowing you to make a tangible impact on our rapidly scaling platform. Join us in a vibrant environment where AI-driven engineering is at the forefront, and be part of a world-class team dedicated to supporting creators and fans globally.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Software Engineer
✨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! Prepare a portfolio or GitHub repo showcasing your best projects, especially those involving scalable systems or AI. This is your chance to shine and demonstrate your hands-on experience.
✨Tip Number 3
Ace the interview by being ready to discuss real-world problems you've solved. Fanvue is all about tackling challenges head-on, so share your experiences with scaling systems and mentoring others.
✨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
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with distributed systems, PostgreSQL, and AI infrastructure to show us you’re the right fit for the role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re excited about working at Fanvue. Share specific examples of how you've tackled engineering challenges in the past and how you can contribute to our growth.
Showcase Your Technical Skills:Don’t just list your technical skills; demonstrate them! Include projects or achievements that showcase your expertise in TypeScript, Node.js, and service-oriented architectures. We want to see what you can do!
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 you don’t miss out on any important updates from our team.
How to prepare for a job interview at Fanvue LLC
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, especially PostgreSQL, TypeScript, Node.js, and Go. Be ready to discuss your experience with these tools and how you've used them to solve real-world problems, particularly in scaling systems.
✨Showcase Your Problem-Solving Skills
Prepare examples of past projects where you tackled complex engineering challenges, like decomposing monoliths or optimising databases for high-throughput workloads. Use the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your impact.
✨Emphasise Mentorship Experience
Since mentoring is a key part of this role, think of specific instances where you've helped elevate other engineers. Share how you approach code reviews, design sessions, and knowledge sharing, demonstrating your ability to lead by example.
✨Engage with AI Concepts
Given the focus on AI infrastructure, brush up on your knowledge of AI and ML concepts, especially vector databases and embedding pipelines. Be prepared to discuss how you've integrated AI tools into your workflow and how you see them shaping the future of software engineering.
