Senior Backend Engineer — Enterprise AI Platform

Socket.dev; New York (NY); Hybrid; USD 164,000 - 235,000; Full time

Benefits offered by this job

health insurance

six-month paid parental leave

401(k) retirement plan

monthly meal allowance

23 paid days off

paid flexible holidays

paid sick leave

Job summary

Spotify is seeking a backend-focused engineer to design, build, and operate enterprise AI platform capabilities that connect AI models, agents, tools, and Spotify’s internal systems.

You will own major workstreams across enterprise AI infrastructure, including the MCP gateway and governance, with emphasis on secure access, testing, and scalable integrations. This role is based in New York with flexible work-from-home options.

Qualifications

• Strong software engineering fundamentals with backend focus.
• Experience designing and operating reliable backend systems.
• Experience with cloud infrastructure and API design.

Responsibilities

• Design, build, and operate secure enterprise AI platform capabilities that connect AI models, agents, tools, and Spotify’s internal systems.
• Own major workstreams across our enterprise AI infrastructure, including MCP gateway and governance, from design through launch and operation.
• Build reliable backend services, APIs, and integrations enabling AI-powered experiences across Spotify’s digital workplace.
• Help develop scalable approaches to AI governance, including identity-aware access, permissions, logging, and risk management.
• Design, test, and evaluate agentic systems and workflows to help Spotifiers access information and accomplish tasks.
• Take operational ownership of services you build, balancing speed, reliability, security, and maintainability.

Skills

Backend engineering

Python

Go

APIs & integrations

Tools

OAuth

SAML

SCIM

Job description

Spotify is seeking a backend-focused engineer to design, build, and operate enterprise AI platform capabilities that connect AI models, agents, tools, and Spotify’s internal systems.

You will own major workstreams across enterprise AI infrastructure, including the MCP gateway and governance, with emphasis on secure access, testing, and scalable integrations. This role is based in New York with flexible work-from-home options.