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San Francisco, California, United States
Onsite
We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world.
Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible.
Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA).
As a Staff Software Engineer on Suno’s new Bots & Fraud team, you’ll help lead the backend engineering behind our defenses against abuse, fraud, and bots. You’ll build real-time services that turn request telemetry, behavioral signals, and device and app attestation into enforcement, such as rate limits, challenges, and account actions, across every layer from the edge to product services. The team is new and pulls together work from across the company, so you’ll shape both what we build and how we build it. You’ll report to the Bots & Fraud Engineering Manager.
Listen to the Suno version of this role! https://suno.com/s/rieJJLO5xgUm2L0B
Design and build backend services for real-time abuse, fraud, and bot defense, including rate limiters, challenge flows (CAPTCHA, proof-of-work, 2FA), rules engines, and account enforcement APIs.
Deploy defenses from the edge to product services, with detection and enforcement that’s easy to roll back, auditable, and low-friction for real users.
Build the logging and metrics that show what’s getting through, what we block, and our false-positive rate.
Protect high-value flows, including signup, login, payments, and song generation, from account farming, credential stuffing, card testing, and credit abuse.
Shape the new Bots and Fraud team's architecture, roadmap, and on-call practices, and raise the engineering bar for everyone around you.
Protect the people Suno is built for, so the platform stays a place where anyone can make music and that becomes part of everyday life.
8+ years of software engineering experience
5+ years of backend development on distributed systems
3+ years of experience in trust and safety, anti-abuse, or fraud prevention
3+ years of technical leadership across a team
Experience with AWS (ECS, Lambda, SQS, DynamoDB, S3), Kubernetes, PostgreSQL, and Valkey/Redis
Experience detecting and stopping automated abuse of public APIs through request telemetry, rate limiting, and challenges
Experience building or running payments fraud and chargeback systems, whether built in-house or on third-party risk platforms
A track record of using AI to change how a team builds and operates, from development workflows to on-call and investigations
This role is expected to work from the designated Suno office 5 days a week, per Suno's company policy. Full-time employees will receive competitive equity packages, and comprehensive benefits. The actual base salary offered may vary depending on location, skills, qualifications, and experience.
Applicants must be eligible to work in the US.
Company Equity Package
401(k) with 3% Employer Match & Roth 401(k)
Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)
11 Paid Holidays + Unlimited PTO & Sick Time
16 Weeks of Paid Parental Leave
Creative Education Stipend
Generous Commuter Allowance
In-Office Lunch (5 days per week)
Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.