In 2026, SRE isn't just about uptime; it's about symbiosis. As part of our growing engineering team, you'll design, build, and operate the cloud infrastructure behind our external developer portal product and our internal fleet of background coding agents. You'll collaborate closely with experienced engineers (both human and AI-assisted) while operating at real-world scale, with deep observability, strong safety boundaries, and the unique reliability challenges of agentic production systems.

Backstage is more than just a platform , it's a foundational force in the developer community. Born out of Spotify's quest for better developer tooling, Backstage now powers developer portals across the globe. But we didn't stop at catalogs and templates. Today, Backstage is becoming the command center for AI-native engineering. From enterprises orchestrating large-scale migrations to fast-moving teams using AI to improve velocity and quality, our solutions are redefining what great developer experience looks like.

As part of the Backstage team, you'll shape developer experience for companies large and small, for our thriving open-source community, and for Spotify itself. You'll help define how reliable, secure infrastructure enables the next wave of agentic developer tooling.

Responsibilities

• Own fleet reliability. Lead the reliability, security, and scalability strategy for Portal's SaaS infrastructure, including the runtime environments that power our platform and LLM-driven agent workflows. Define SLOs, drive capacity planning, and ensure our systems meet the demands of a rapidly growing product.

• Architect for the agentic era. Design and evolve infrastructure on GCP and AWS using Terraform and infrastructure-from-code patterns. Shape how we structure environments for non-deterministic AI workloads , including sandboxing, resource isolation, cost governance, and security boundaries.

• Drive operational excellence. Evolve our incident management, on-call, and postmortem practices. Leverage AI assistants to accelerate root cause analysis and build increasingly self-healing capabilities into our production systems.

• Lead fullstack reliability. Operate across a modern web stack (TypeScript, React, Python). While not frontend-heavy, you'll diagnose and resolve issues across the stack and drive reliability improvements end-to-end.

• Mentor and multiply. Raise the reliability IQ of the broader engineering team. Establish SRE best practices, conduct production-readiness reviews, and mentor engineers on operational thinking.

• Shape the roadmap. Partner with engineering and product leadership to evolve our infrastructure in step with generative AI features. Translate operational insights into strategic input on the product roadmap.

Requirements

• You have 5+ years of hands-on experience operating cloud infrastructure (GCP and/or AWS), using Terraform and Kubernetes to run production systems at scale.

• You have practical experience , or a strong demonstrated interest , in operating LLM-based systems, RAG pipelines, or agentic workloads, and understand the reliability challenges of non-deterministic systems.

• You think in distributed systems first principles , consistency, availability, partition tolerance , and translate that thinking into pragmatic infrastructure decisions.

• You are proficient in at least one modern language (TypeScript, Java, Go, or Python) and comfortable navigating large, heterogeneous codebases, including environments where AI-generated PRs are common.

• You build automation and improve systems so that whole categories of operational issues disappear over time.

• You communicate complex infrastructure trade-offs clearly to both technical and non-technical stakeholders, and you write postmortems that lead to meaningful change.

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