Staff Site Reliability Engineer (x/f/m) at Doctolib

Your Impact

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

Your mission will be to act as a technical leader driving Doctolib's reliability and scalability at a European scale, ensuring our platform remains reliable, debuggable, and resilient across infrastructure, observability, and cross-cutting reliability initiatives. You will play a pivotal role in 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.

This role sits at the intersection of infrastructure, developer experience, and product engineering. You'll act as a technical leader and strategic partner to SREs, software engineers, and product teams, guiding decisions, mentoring engineers, and driving cross-cutting initiatives that elevate our operational maturity.

What you'll do

Your responsibilities include but are not limited to:

• Lead large-scale cross-cutting reliability initiatives across the platform, spanning infrastructure automation, observability, and incident management
• Identify and drive improvements to incident detection, response, and postmortem analysis capabilities
• Define and evolve 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 refining alerting, reducing noise, and ensuring actionable telemetry
• Serve as a mentor and technical coach to senior engineers, helping elevate the craft of reliability engineering across the company
• Influence strategic decisions by providing technical guidance to leadership and representing reliability engineering in architectural reviews and platform discussions
• 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 extensive experience (8+ years) in SRE, platform engineering, or infrastructure roles 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 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 a strong systems engineering background with fluency in at least one backend programming language (e.g., Go, Python, Ruby)
• Have a proven ability to lead through influence: setting technical direction, driving consensus, and mentoring engineers across teams
• Are comfortable balancing long-term architecture work with fast, iterative improvements
• Have clear, concise communication skills, both written and verbal, with the ability to drive alignment in ambiguous environments
• Partner with feature teams to accelerate their production readiness, providing hands-on guidance on reliability best practices, launch reviews, and operational standards before go-live
• Are fluent in English

It would be fantastic if you:

• Have deep expertise in observability tooling and architecture (logging, tracing, metrics)
• Have experience designing and operating high-scale telemetry pipelines and working with developers to improve instrumentation quality
• Appreciate working in regulated environments, healthcare, fintech, or similar; at Doctolib, data privacy and compliance are part of every engineering decision
• Care about reliability enablement, golden paths, runbooks, shared libraries

Life at Doctolib Tech

• Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple language

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