Staff Site Reliability Engineer (x/f/m)

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.

Responsibilities

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

Requirements

8+ years in SRE, platform engineering, or infrastructure roles within a large-scale, multi-team production environment; proven experience with cloud platforms such as AWS, GCP, or Azure; strong experience with containerization and orchestration technologies, Kubernetes is a must; implemented and operated SLIs, SLOs, and error budgets in production; experience managing on-call rotations and leading incident response in high-stakes environments; strong systems engineering background with fluency in at least one backend programming language (e.g., Go, Python, Ruby); proven ability to lead through influence: setting technical direction, driving consensus, and mentoring engineers across teams; comfortable balancing long-term architecture work with fast, iterative improvements; 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; fluent in English

Nice to have

deep expertise in observability tooling and architecture (logging, tracing, metrics); 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; care about reliability enablement, golden paths, runbooks, shared libraries

Benefits

A Deutschlandticket fully paid for by Doctolib; 28 vacation days + 1 additional day for each full calendar year of employment (up to a maximum of 30 days); Work from abroad for up to 10 days per year; Company health insurance with supplementary benefits through Allianz; Company pension scheme (bAV) through Allianz with an employer subsidy of 40% (15% within the probationary period); The Doctolib Parent Care program; Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth; Free mental health and coaching services through Moka.care; Subsidized sports membership through Urban Sports Club; A flexible workplace policy offering both hybrid and office-based mode; Healthy snacks and regular breakfast buffet, subsidized meal benefit; For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support; Relocation support in case of international mobility; Access to the best AI tools for coding, development and dedicated training