Staff Software Engineer

Staff Software Engineer

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead technical initiatives to scale and optimise our AI-powered platform.
  • Company: Join Fanvue, a fast-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 mentorship.
  • Why this job: Make a real impact in a company transforming the creator economy with AI.
  • Qualifications: 10+ years in software engineering, expertise in TypeScript, Node.js, and AWS.

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 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.

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

At Fanvue, we pride ourselves on being a dynamic and innovative employer that champions a culture of collaboration and growth. As a Staff Software Engineer, you'll be at the forefront of AI-native engineering, working with a world-class team to tackle complex challenges that have a direct impact on our rapidly scaling platform. With a commitment to diversity and inclusion, we offer an environment where your expertise is valued, and your contributions can shape the future of creator monetisation.

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Contact Details:

Fanvue Recruitment Team

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 in real-time! If you get the chance, participate in coding challenges or hackathons. This is a great way to demonstrate your problem-solving abilities and technical expertise directly.

Tip Number 3

Prepare for those interviews! Brush up on your knowledge of distributed systems and AI infrastructure. Be ready to discuss how you've tackled similar challenges in the past—this will show you're the right fit for the role.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Fanvue team.

We think you need these skills to ace Staff Software Engineer

Software Engineering
Distributed Systems
TypeScript
Node.js
Go
AWS
PostgreSQL

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Staff Software Engineer role. Highlight your experience with distributed systems, AI infrastructure, and any relevant projects you've led.

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 shy away from detailing your technical expertise in TypeScript, Node.js, Go, and AWS. We want to see how you've applied these skills in real-world scenarios, especially in scaling systems.

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’re considered for the role without any hiccups!

How to prepare for a job interview at Fanvue

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 build scalable systems in the past.

Showcase Your Problem-Solving Skills

Prepare to share specific examples of challenges you've faced in scaling systems or decomposing monoliths. Highlight your thought process and the strategies you employed to overcome these hurdles, as this will demonstrate your hands-on experience.

Emphasise Mentorship Experience

Since the role involves mentoring other engineers, be prepared to discuss your approach to mentoring. Share instances where you've helped others grow, whether through code reviews or collaborative sessions, and how that has positively impacted your team.

Engage with AI Concepts

Given the focus on AI infrastructure, brush up on your knowledge of AI and ML concepts, particularly vector databases and embedding pipelines. Be ready to discuss how you've integrated AI into your previous projects and your thoughts on its future in software engineering.