Senior Software Engineer hos Sana i Stockholm
Bygger och underhåller teknisk infrastruktur, molnlösningar och verktyg för utvecklare. Kräver minst 3 års erfarenhet av infrastruktur, GCP eller motsvarande, Kubernetes, Terraform och skalbara backend-system samt minst 2 års erfarenhet av att koda backend-applikationer.
Titel, arbetsplatsens namn och sammanfattning skrivna av AI utifrån annonsen.
Bra att veta
Lön
Inom yrkesgruppen Systemförvaltare m.fl. har de som jobbar i privat sektor i Stockholm i snitt 59 100 kr i månaden, varav 58 100 kr i grundlön. I hela landet, i privat sektor, tjänar hälften mellan 44 400 kr och 63 300 kr. Det är statistik för yrket, inte vad den här arbetsgivaren betalar.
Källa: SCB, lönestrukturstatistik 2025
Anställningen
Anställningen har inget slutdatum. Den kan börja med en provanställning på högst sex månader. Vill arbetsgivaren avsluta den under provtiden ska du få besked minst två veckor i förväg; annars blir den en vanlig tillsvidareanställning när provtiden är slut. Därefter krävs sakliga skäl för att säga upp dig, och uppsägningstiden är minst en månad, längre ju längre du har varit anställd.
Ett kollektivavtal kan ge andra regler än lagen.
Texten är skriven med AI och kan innehålla fel. Kontrollera med arbetsgivaren.
Källa: Lagen om anställningsskydd (LAS)
Arbetsgivaren
Sana har annonserat 11 jobb det senaste året: 11 tillsvidareanställningar. Det är deras första annons inom yrkesgruppen Systemförvaltare m.fl. på två år.
Källa: vår sammanställning av Arbetsförmedlingens annonser
Senior Software Engineer (Infrastructure)
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.
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