Spotify10 days ago
Senior Software Engineer - Enterprise AI
Salary not specified
MARKET
14,792 ₽median for this role
Backend Developer · 38 jobs with disclosed pay
5,092half of the offers: 12,562–20,693308,000
The employer didn't disclose pay — compare with the market yourself.
PermanentNew York
Responsibilities
- 01Design, build, and operate secure enterprise AI platform capabilities that connect AI models, agents, tools, and Spotify’s internal systems
- 02Own major workstreams across our enterprise AI infrastructure, including our Model Context Protocol (MCP) gateway and enterprise context capabilities, from technical design through launch and operation
- 03Build reliable backend services, APIs, and integrations that enable AI-powered experiences across Spotify’s digital workplace
- 04Help develop scalable approaches to AI governance, including identity-aware access, permissions, auditing, policy enforcement, and managing risks associated with third-party AI-enabled tools
- 05Design, build, test, and evaluate agentic systems and workflows that help Spotifiers access information and accomplish tasks effectively
- 06Take operational ownership of the services and components you build, balancing speed, reliability, security, and long-term maintainability
- 07Partner with engineers and stakeholders across Spotify to identify opportunities, make thoughtful technical tradeoffs, and turn emerging AI needs into scalable platform capabilities
- 08Contribute to engineering practices, knowledge sharing, and AI fluency as we learn how to operate enterprise AI infrastructure at Spotify scale
Requirements
- 01You have strong software engineering fundamentals and experience building, testing, debugging, and operating reliable backend systems
- 02You are experienced with backend languages such as Python, Go, or similar and are comfortable designing APIs and integrations across complex systems
- 03You understand software architecture and how services, APIs, enterprise tools, and user-facing experiences fit together
- 04You have experience with identity and authentication concepts and technologies such as OAuth, SAML, or SCIM
- 05You have experience working with cloud infrastructure; familiarity with Google Cloud Platform is valuable
- 06You are comfortable navigating ambiguity, creating clarity, and independently making thoughtful technical tradeoffs
- 07You care about operational ownership and building dependable infrastructure that other teams and employees can rely on
- 08You enjoy experimentation, iteration, knowledge sharing, and continuous learning in a collaborative engineering environment
- 09Experience with enterprise SaaS or platform engineering, or with LLM integration patterns such as tool use, function calling, agentic workflows, or systems-level prompt engineering, will help you make an impact in this role
What we offer
- 01This role is based in New York
- 02We offer you the flexibility to work where you work best
- 03There will be some in person meetings, but still allows for flexibility to work from home
- 04Spotify is an equal opportunity employer
- 05We are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone
- 06We have ways to request reasonable accommodations during the interview process and help assist in what you need