Staff/Senior Software Engineer at Suno building infrastructure systems that power the AI music platform. Focus on Kubernetes, distributed databases, inference infrastructure, and developer platforms serving 70+ engineers.
We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfilment 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 Menlo Ventures, Lightspeed Venture Partners, Matrix Partners, NVentures (venture arm of NVIDIA).
Suno’s infrastructure is the foundation everything else is built on. We’re hiring Staff and Senior Software Engineers to work on the systems, platforms, and tooling that power the entire company — from the lowest layers of cloud and compute, to the developer platforms that 70+ engineers build on daily, to the AI-powered tools and workflows that are changing how everyone at Suno works.
You’ll apply once, and during the interview process we’ll work with you to find the team that’s the best mutual fit based on your background, technical strengths, and what gets you excited. What all of these teams share: they’re building foundational systems at scale, they own their work end-to-end, and their output directly determines how fast and how well Suno can build and ship product. They solve hard problems with high ownership, low hand-holding, and a bias toward engineering excellence.
Check out the Suno version of the job here!
Regardless of team, you’ll:
Architect and build services to handle massive consumer traffic, data, and usage
Design systems that are performant, secure, scalable, and easy to observe
Own systems end-to-end — from design and implementation through deployment, monitoring, and operational excellence
Lead by example on engineering excellence — code quality, system design, documentation, and operational maturity
Collaborate with engineering teams across the company to understand their needs and build the right abstractions
Communicate proactively and with high bandwidth — concise and information-dense async updates, stakeholder alignment, low entropy
Operate with ambiguity — scope what matters, make tradeoffs, and drive projects forward independently
We’re hiring across several infrastructure-focused areas. During the process, we’ll match you to the one that fits best. Here’s a flavor of the kinds of problems our teams are solving:
Scaling Kubernetes infrastructure and control planes to support rapid product and ML growth
Building and operating distributed databases, caching layers, and storage systems at consumer scale
Designing inference infrastructure that keeps AI workloads fast, reliable, and cost-efficient
Creating the developer experience platform that 70+ engineers depend on to ship product quickly and safely — APIs, authentication, deployment tooling, and backend-driven configuration
Building push notification systems, CDN infrastructure, and audio/video content delivery and encryption
Managing migrations that help teams transition off legacy systems seamlessly and without risk
Building shared AI infrastructure, agentic tooling, and workflows that make development AI-native across the company
Creating an agent-friendly knowledge graph and data connections that equip every function — engineering and beyond — with real leverage from AI
Defining best practices, frameworks, and evaluation systems for how Suno uses AI tooling in daily work
5–7+ years of infrastructure, backend, or systems engineering experience
Experience building and operating systems at significant scale in production
Strong understanding of distributed systems, cloud services (AWS/GCP), and modern infrastructure patterns
Experience with some combination of: Kubernetes, Docker, infrastructure as code (Pulumi/Terraform/CDK), databases (Postgres, distributed relational databases), caching systems, or container orchestration
Ability to reason through hard scaling, reliability, and performance problems with clear technical judgment
High ownership — you drive projects end-to-end without waiting for direction
Strong communication skills — you keep stakeholders informed and reduce ambiguity for the teams you serve
An obsession with engineering excellence, iterating and learning rapidly, and working hard
Strong Plusses (one or more of the following)
Deep experience with Kubernetes at scale — cluster management, control plane scaling, multi-tenancy
Experience with large-scale databases, distributed data layers, or storage systems
Experience with ML infrastructure — inference serving, ML data pipelines, MLOps, GPU infrastructure
Experience on a platform or developer experience team where your primary customers were other engineers
Experience building internal systems 0→1 (auth, notifications, CDN, DevEx tooling, or similar)
Strong oncall instincts — triage, debug, and resolve incidents across a distributed stack
Hands-on familiarity with AI tooling and the current landscape of AI for software engineering — models, agents, coding assistants, and agentic workflows
Golang or Rust experience, especially for large-scale systems
Experience with websockets, CDNs, streaming traffic patterns, and audio/video delivery
Security best practices in building and scaling infrastructure
Technical leadership or management experience
A love of music, whether you’re an avid listener or musician yourself
This role is based in Cambridge, MA (Boston).
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.