Infrastructure Engineer

Job description

ABOUT SANA Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments people - not replaces them. We bring this mission to life through two products. Sana Agents provide a seamless way to access all your company’s apps, knowledge, and data, enabling AI agents to do real work so teams can process and act on information at unprecedented scale. Sana Learn is an AI-powered learning hub that combines the simplicity of a modern learning platform with intelligent features like an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable. We’re a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration. Our tools already help over a million people learn and work better across hundreds of leading enterprises - and we’re just getting started. ABOUT THE ROLE As an Infrastructure Engineer, you will support our engineering teams by building and maintaining the technical foundation that enables our products to scale. You'll work on cloud infrastructure, deployment systems, and developer tooling, serving as a technical partner to other engineering teams while focusing on reliability and performance. IN THIS ROLE, YOU WILL - Be the backbone of our ambitious goals, ensuring our infrastructure is robust and scalable. - Support feature development teams with infrastructure decisions and deployments. - Act as Site Reliability Engineer (SRE) and continuously enhance our Developer Experience (DX). - Design and implement scalable cloud infrastructure solutions. YOUR BACKGROUND LOOKS SOMETHING LIKE - Proficiency in both backend engineering and cloud-based deployments. - Experience with highly available, scalable, and extensible backend systems. - Proficiency in GCP, and Kubernetes. - Track record of supporting development teams with infrastructure solutions - Understanding of site reliability engineering principles. OUR TECH STACK We build on a simple modern stack optimized for both humans and AI. - Backend: TypeScript, Kotlin, Node.js - Frontend: TypeScript, React, Tailwind - Databases: Postgres, Redis - Cloud infra: GCP/Kubernetes/Terraform WHAT WE OFFER - Help shape AI's future alongside brilliant minds from Google, Apple, Spotify, Notion, Slack, Databricks, and BCG. - Competitive salary complemented with a competitive RSU program. - Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders. - Work with talented teammates across 5+ countries, and global customers, from our beautiful office in Stockholm, London and New York.