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JobsSuno AI

Software Engineer, Infrastructure

Suno AI

Software Engineer, Infrastructure

Suno AI

Boston

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Equity

401(k)

Healthcare

Unlimited PTO

Parental Leave

Learning Budget

Commuter Benefits

Free Meals

Equity

401k

Healthcare

Unlimited Pto

Parental Leave

Learning

Commuter

Meals

Required Skills

AWS

GCP

Kubernetes

Docker

Infrastructure as code

ABOUT SUNO

Suno is a music company built to amplify imagination. Powered by the world’s most advanced AI music model, Suno offers an unparalleled creative platform that includes Suno Studio, a breakthrough generative audio workstation. From shower-singers to aspiring songwriters to seasoned artists, Suno empowers a global community to create, share, and discover music—unlocking the joy of musical expression for all.

ABOUT THE ROLE:

We're looking for mid-level infrastructure engineers to join our growing engineering team. You'll work alongside experienced engineers and contribute to building and maintaining Suno's technical infrastructure and products. This is an opportunity to make meaningful contributions to our platform while developing your skills in a fast-paced, music-focused environment.

Check out the Suno version of the job here! https://suno.com/s/QOVi2jSRkRVlbpI1

WHAT YOU’LL DO:

  • Architect and build services to handle massive consumer traffic, data, and usage

  • Design systems that are performant, secure, scalable, and easy to observe

  • Lead by example on operational and software engineering excellence

WHAT YOU’LL NEED:

  • 3-5 years infrastructure experience preferred

  • Experience with cloud services (AWS/GCP), Kubernetes, Docker, and infrastructure as code (Pulumi/Terraform/CDK)

  • Experience scaling infrastructure from 0 to 1

  • Strong understanding of Postgres, distributed relational database, large scale database hosting a plus

  • Strong backend skills to help optimize application and service code; experience with websockets, CDNs, and streaming traffic patterns a plus

  • Strong understanding of security best practices in building/scaling infrastructure

  • Experience on MLOps, large scale inference, ML data pipeline a plus

  • An obsession with engineering excellence, iterating & learning rapidly, and working hard

  • Technical leadership or management experience is a plus

  • A love of music (listening, exploring, making) is a huge plus

  • Bachelor's degree or equivalent required.

Additional Notes: Applicants must be eligible to work in the US.

PERKS & BENEFITS FOR FULL-TIME EMPLOYEES:

  • 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.

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About Suno AI

Suno AI

Suno AI

Series B

Suno AI is an artificial intelligence company that develops music generation technology, allowing users to create songs and audio content using AI models.

51-200

Employees

Cambridge

Headquarters

$500M

Valuation

Reviews

4.1

2 reviews

Work Life Balance

3.0

Compensation

3.0

Culture

3.0

Career

3.0

Management

3.0

95%

Recommend to a Friend

Pros

High quality output

Easy to use for beginners

Minimal fine-tuning required

Cons

Track length limitations

Incomplete documentation

Limited customization options

Interview Experience

40 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

34%

Experience

Positive 62%

Neutral 21%

Negative 17%

Interview Process

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

Common Questions

Technical skills

Past experience

Team collaboration

Problem solving