Vacant job

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.

About You

Basic Qualifications:

3+ years of experience in infrastructure, platform, or site reliability engineering.

3+ years of hands-on experience with GCP or equivalent cloud platforms, including managing production environments.

3+ years of experience with Kubernetes, including deployment, scaling, and operations.

3+ years of experience with infrastructure-as-code tooling, such as Terraform.

3+ years of experience designing and operating highly available, scalable, and reliable backend systems.

2+ years of experience coding backend applications, with a strong track record of writing reliable, maintainable services.

Other Qualifications:

Experience acting as an SRE, with a strong understanding of site reliability principles in production environments.

Experience improving developer experience through internal tooling, CI/CD pipelines, and deployment automation.

Familiarity with TypeScript in a backend context, enabling effective collaboration with product engineering teams.

Experience with Postgres and Redis in production, including performance tuning and reliability practices.

Experience supporting feature development teams with infrastructure decisions, reviews, and hands-on deployment support.

Strong observability skills, including logging, metrics, alerting, and incident response.

Ability to navigate ambiguity and drive infrastructure projects from concept to production.

Strong communication skills, with the ability to partner effectively across engineering and product teams.