Hybrid Site Reliability Engineer – Backstage

at Spotify

• Job title: Site Reliability Engineer – Backstage
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $132,949 - $189,927 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Distributed Systems, Google Cloud Platform, Java, Python, React, Terraform, TypeScript, Go
• Location requirements: Hybrid, New York City, United States

About the role

• Site Reliability Engineer joining Spotify’s Backstage team, building intelligent infrastructure for the world's most popular audio streaming service. Contributing to AI-native workflows and developer experience.

Responsibilities

• Orchestrate the Fleet: Maintain and improve Portal’s SaaS infrastructure for reliability, security, and scalability. This covers the runtime environments supporting the platform and workflows powered by large language models.
• Modern Infra-as-Code: Collaborate with senior engineers to build infrastructure on GCP and AWS using Terraform and emerging infrastructure-from-code patterns where agents assist in defining the stack.
• Support Fullstack Systems: Operate in a modern web stack environment (TypeScript, React, Python). While this isn’t a frontend-heavy role, comfort with debugging fullstack systems and web infrastructure is key.
• Reliability Engineering: Participate in on-call rotations to ensure systems meet reliability and availability goals, employing AI assistants to accelerate root cause analysis and incident resolution.
• Collaborate & Innovate: Participate in the planning and delivery of technical projects, defining how infrastructure evolves to support the next wave of generative AI features.

Requirements

• Cloud Native & AI Curious: Brings hands-on experience with cloud infrastructure (GCP or AWS) and IaC tools like Terraform, with an interest in LLMs, RAG, or agents in an operational context.
• Systems Thinker: Understands distributed systems principles and how to operate them reliably at scale, specifically addressing the challenges posed by non-deterministic AI workloads.
• Polyglot Practitioner: Experienced with at least one modern programming language (e.g., TypeScript, Java, Go, Python) and comfortable navigating codebases where AI-generated PRs are the norm.
• Quality & Automation: Prioritizes code quality and reliability, looking for ways to build systems that test themselves and improve through automated feedback loops.
• Growth Mindset: Eager to evolve as an engineer in a landscape where the definition of "operations" changes rapidly. Familiarity with open-source projects or building "coding assistant" bots is a plus.

Benefits

• health insurance
• six month paid parental leave
• 401(k) retirement plan
• monthly meal allowance
• 23 paid days off
• 13 paid flexible holidays
• paid sick leave