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Doctolib is seeking a Staff Site Reliability Engineer to join its Platform Engineering team, driving reliability and scalability across a European healthcare platform serving 520,000 health professionals and 90 million patients.
In this role, you will act as a technical leader and strategic partner to SREs, software engineers, and product teams. You'll guide decisions, mentor engineers, and drive cross-cutting initiatives that elevate operational maturity across 170+ applications.
Key Responsibilities:
- Lead large-scale cross-cutting reliability initiatives 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
- Participate in on-call rotation and actively improve the on-call experience by refining alerting, reducing noise, and ensuring actionable telemetry
- Mentor and coach senior engineers, elevating the craft of reliability engineering across the company
- Influence strategic decisions by providing technical guidance to leadership and representing reliability engineering in architectural reviews
- Partner with software engineering teams to embed reliability practices early in the development lifecycle
The role sits at the intersection of infrastructure, developer experience, and product engineering. You'll balance long-term architecture work with fast, iterative improvements while working in a regulated healthcare environment where data privacy and compliance are part of every engineering decision.
Tech Stack: Kubernetes, Terraform, AWS/GCP, Prometheus, OpenTelemetry, Datadog, ArgoCD. The platform is built on Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.
Requirements:
- 8+ years of experience in SRE, platform engineering, or infrastructure roles within large-scale, multi-team production environments
- Proven experience with cloud platforms (AWS, GCP, or Azure)
- Strong experience with containerization and orchestration technologies; Kubernetes expertise is mandatory, including deployment and scaling strategies
- 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 (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 (written and verbal) with ability to drive alignment in ambiguous environments
- Fluency 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
- Background in regulated environments (healthcare, fintech, or similar)
- Care about reliability enablement, golden paths, runbooks, and shared libraries
