Suno - Staff / Senior Software Engineer, Infrastructure

Boston, Mass, United States$220k - $280k+ Equity1mo ago

In Office Staff NA Cloud Computing Artificial Intelligence Senior Software Engineer Infrastructure Engineer Platform Engineer AWS GCP Docker Kubernetes Team Management

Requirements

• Check out the Suno version of the job here! • 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 • Additional Notes • This role is based in Cambridge, MA (Boston). • Applicants must be eligible to work in the US. • Perks & Benefits for Full-Time Employees

Responsibilities

• 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 • Areas You Could Work On • 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

Benefits

• $220K – $280K • Offers Equity • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here • Boston (Cambridge) • New York City (Chelsea) • Los Angeles (Venice) • Tell us about a system you built or scaled that you’re particularly proud of. What made it technically hard? Who depended on it, and how did you know it was working well? (3–5 sentences) • Chat Prompting & In-App AI (e.g. Cursor Prompts) • System Prompting and Guided Conversations • Controlled Delegation to AI & Agentic Workflows • Complete Delegation to Autonomous AI with Quality Controls • Cloud infrastructure, Kubernetes, or container orchestration • Databases, caching, or distributed storage systems • ML infrastructure, inference serving, or data pipelines • Internal developer tools, platforms, or APIs for other engineers • Authentication, CDN, notifications, or content delivery systems • AI tooling, agents, or AI-powered internal products • Why are you interested in working at Suno?