Senior Infra Engineer & SRE — Scale Cloud & DX

Workday Sweden Aktiebolag; Stockholms län; On-site; SEK 700,000 - 1,100,000; Full time

Job summary

Workday Sweden AB is seeking an experienced Infrastructure Engineer to build and maintain the scalable foundation for Sana's AI-driven products. You will partner with engineering teams on cloud infrastructure, deployment systems, and developer tooling to ensure reliability and high performance.

The role focuses on operating scalable cloud infrastructure, improving DX, and collaborating across product and engineering teams to enable rapid iteration at scale.

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.

Responsibilities

• 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.

Tools

GCP

Kubernetes

Terraform

PostgreSQL

Redis

CI/CD

TypeScript (backend)

Job description

Workday Sweden AB is seeking an experienced Infrastructure Engineer to build and maintain the scalable foundation for Sana's AI-driven products. You will partner with engineering teams on cloud infrastructure, deployment systems, and developer tooling to ensure reliability and high performance.

The role focuses on operating scalable cloud infrastructure, improving DX, and collaborating across product and engineering teams to enable rapid iteration at scale.