Senior Site Reliability Engineer (x/f/m)

EngineersOfAI

Berlin

Vor Ort

EUR 90.000 - 140.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Deutschlandticket

Zusammenfassung

Doctolib is seeking a Senior Site Reliability Engineer to join our Platform Engineering team, driving reliability across 170+ applications and supporting healthcare professionals and patients across Europe.

You will own on-call, build scalable infrastructure with Terraform and Kubernetes, define SLOs, and collaborate with product teams to embed reliability early in development. Fluent English required; Germany-based role with Berlin context.

Qualifikationen

  • 5y+ hands-on experience in a Site Reliability Engineering role in a large-scale production environment.
  • Proven experience with cloud platforms such as AWS, GCP, or Azure.
  • Strong experience with containerization and orchestration technologies; Kubernetes is a must.
  • Experience working with software teams to co-design reliable systems.
  • Hands-on with infrastructure as code (Terraform) in production contexts.
  • Implemented and operated SLIs, SLOs, and error budgets in production.
  • Experience managing on-call rotations and incident response.
  • Experience with GitOps workflows (ArgoCD, Helm).
  • Proficiency in at least one scripting language (Python/Go/Ruby) for automation.
  • Fluent in English.

Aufgaben

  • Build and maintain infrastructure automation and IaC at scale with focus on reliability and developer experience across 170+ applications.
  • Identify and lead large-scale cross-cutting reliability initiatives including incident detection and postmortem analysis.
  • Design and improve infrastructure components that support reliability, scalability, and observability.
  • Define and drive SLOs, error budgets, and alerting standards across product teams.
  • Participate in on-call rotations and improve on-call experience with actionable telemetry.
  • Partner with software teams to embed reliability practices early in development.

Kenntnisse

SRE experience
Cloud platforms (AWS/GCP/Azure)
Kubernetes
Terraform
SLIs/SLOs
On-call management
GitOps (ArgoCD/Helm)
Python/Go
English fluency

Tools

Kubernetes
ArgoCD
Helm
Terraform

Jobbeschreibung

Your Impact

We are looking for a Senior Site Reliability Engineer to join our SRE team dedicated to platform reliability within Platform Engineering.


Your mission will be to ensure Doctolib's platform remains reliable, scalable, and resilient at a European scale across infrastructure, observability, and cross-cutting reliability initiatives. You will work within a team driving reliability standards across 170+ applications, contributing directly to supporting 520,000 health professionals and 90 million patients in their daily healthcare journey.


Working in the tech team at Doctolib means taking ownership of critical systems, driving reliability improvements end-to-end, and partnering closely with product and engineering teams to enable fast, safe delivery.


What you'll do

Your responsibilities include but are not limited to:



  • Build and maintain infrastructure automation and infrastructure-as-code at scale, with a strong focus on consistency, reliability, and developer experience across 170+ applications

  • Identify and lead large-scale cross-cutting reliability initiatives, including improvements to incident detection, response, and postmortem analysis capabilities

  • Design, build, and improve infrastructure components that support reliability, scalability, and observability across the platform

  • Define and drive SLOs, error budgets, and alerting standards across multiple product teams

  • Take part in the on-call rotation, and actively contribute to improving our on-call experience by reducing noise and ensuring actionable telemetry

  • Partner with software engineering teams to embed reliability practices early in the development lifecycle


Who you are

Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.


You’ll be a great fit if you:



  • Have solid hands-on experience (5y+) in a Site Reliability Engineering role within a large-scale, multi-team production environment

  • Have proven experience with cloud platforms such as AWS, GCP, or Azure

  • Have strong experience with containerization and orchestration technologies, Kubernetes is a must, its deployment and scaling strategies ecosystem

  • Have experience working closely with software engineering teams to co-design reliable systems

  • Have hands-on experience with infrastructure as code, particularly Terraform, applied in real production contexts

  • Have implemented and operated SLIs, SLOs, and error budgets in production

  • Have experience managing on-call rotations and leading incident response in high-stakes environments

  • Have experience with GitOps workflows (ArgoCD, Helm)

  • Are comfortable with at least one scripting or programming language (Python, Go, Ruby...) for automation

  • Are fluent in English


It would be fantastic if you:



  • Appreciate working in regulated environments, healthcare, fintech, or similar. At Doctolib, data privacy and compliance are part of every engineering decision: you'll live it here from day one.

  • Care about reliability enablement, golden paths, runbooks, shared libraries. If it's new to you, no worries: it's how we work at Doctolib, and you'll help us build it.


Life at Doctolib Tech


  • Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements.

  • Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.

  • We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here.


Want to learn more about our tech culture and environment? Visit the Doctolib Tech site.


What we offer


  • A Deutschlandticket (Germany-wide public transport pass) fully paid for by

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