About the role

Engineering Manager leading AI-native engineers responsible for multi-cloud foundations at Spotify. Overseeing platform security and driving developer tooling evolution as part of the Platform team.

Responsibilities

Lead and grow a team of AI-native engineers responsible for Platform’s multi-cloud foundation across GCP and AWS, our security posture, and the developer platform that thousands of Spotify engineers depend on every day.
Define the technical vision for our cloud platform, and make the architectural calls that shape how the rest of R&D builds, ships, and operates.
Own the security and compliance posture of the developer platform end-to-end, ensuring secure-by-default outcomes for every team building on top of us.
Drive the evolution of our developer tooling stack (CI/CD, build systems, deployment, observability) so engineers ship safely and quickly along golden paths instead of bespoke setups.
Bring AI-native capabilities into platform operations, integrating LLM and agent-based automation into infrastructure changes, security remediation, and developer workflows.
Partner with product, go-to-market, and engineering teams to bring our capabilities to market, shaping how the broader industry manages cloud, security, and tooling on top of Portal.
Set and enforce production-grade standards for reliability, performance, and cost-efficiency across services operating at Spotify scale.
Build a team culture grounded in curiosity, technical rigor, and continuous learning in emerging AI systems.

3+ years of experience leading engineering teams working on cloud infrastructure, platform engineering, or developer tooling at scale.
5+ years of backend or infrastructure engineering experience, with deep expertise in cloud platforms (GCP, AWS).
Strong grounding in platform security: IAM, secrets management, vulnerability and patch management, and supply chain security.
Solid command of modern developer tooling (CI/CD, build systems, deployment patterns, observability) and an opinion on what makes platform self-service actually work at scale.
Track record of designing and operating distributed systems where reliability, cost, and security trade-offs are first-class concerns.
Familiar with AI and LLM-based systems, and have a point of view on how agents and automation can be responsibly applied to infrastructure operations.
Clear communication across engineers, product, security, and executive stakeholders, explaining complex trade-offs and earning alignment without losing nuance.
Ability to create inclusive environments where diverse perspectives strengthen technical and product decisions.
Actively seek feedback and invest in growing yourself and your team.