Engineering Manager Scheduling Team (x/f/m)

EngineersOfAI; Berlin; Hybride; EUR 120 000 - 160 000; Plein temps

Résumé du poste

Doctolib Tech in Berlin leads the Scheduling team to build scheduling infrastructure and booking experiences that power billions of appointments across Europe. The Engineering Manager will drive delivery, architecture direction, and people leadership for a highly technical group.

The role emphasizes modernising legacy systems, scalable design, and AI-enhanced workflows within a cloud-native platform used by health professionals and patients.

Qualifications

• At least 6 years of software engineering experience.
• At least 3 years of engineering management experience, including leading 5+ engineers.
• Experience modernising a large legacy system, ideally extracting services from a monolith.

Responsabilités

• Lead a team of 6 to 7 engineers, owning delivery, quality and production health end to end.
• Define the mission and roadmap for your team with your product partner.
• Take part in architecture reviews and shape the Scheduling stream, including migration from monolith to services.
• Set and uphold security, reliability, performance and scalability standards.
• Recruit, develop and retain engineers through career conversations and feedback.
• Embed AI-assisted engineering into day-to-day work with clear boundaries.
• Continuously improve team operations: planning, on-call, bug backlog, incident follow-up.

Connaissances

Software engineering

Engineering management

Distributed systems

Data modelling

Latency & throughput

Legacy system modernization

Communication

AI coding assistants

Outils

Ruby on Rails

TypeScript/React

Kotlin

PostgreSQL

Redis

Kafka

Description du poste

Set a new pulse for healthcare!

We are looking for an Engineering Manager to join the Scheduling team in Berlin.

Your mission will be to give practitioners their day back: reclaiming the admin time they spend creating and managing appointments, so care teams can focus on what matters. You will work in a feature team developing scheduling infrastructure and booking experiences, contributing directly to a platform that books billions of appointments a year for health professionals and patients across Europe.

Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.

What you'll do

Your responsibilities include but are not limited to:

• Lead a team of 6 to 7 engineers of mixed seniority, owning delivery, quality and production health end to end — keeping engagement high and standards higher
• Together with your product partner, define the mission and vision for your team and build a roadmap you can defend to stakeholders
• Take part in architecture reviews and help shape the technical direction of the Scheduling stream, including the migration of core scheduling capabilities from the monolith into purpose-built services
• Set and uphold the security, reliability, performance and scalability standards required to remain the most trusted e-health SaaS in Europe
• Partner with Talent and People teams to recruit, develop and retain engineers through career conversations and feedback they can act on
• Embed AI-assisted engineering into how your team works day to day, with a clear and honest view of where it helps and where it does not
• Continuously improve how the team operates — planning, on‑call, bug backlog, incident follow‑up — so the team spends its energy on what moves the needle

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 at least 6 years of software engineering experience and 3 years of engineering management experience, including leading a team of 5+ engineers through delivery, hiring and growth
• Are credible with senior backend engineers — distributed systems, data modelling, latency and throughput are conversations you can hold and challenge; you stay close enough to the code to review a pull request, without needing to be the one writing it
• Have hands‑on experience modernising a large legacy system, ideally extracting services from a monolith, and know how to keep a team delivering while the ground moves
• Are an effective communicator who can translate company goals into team objectives, and who says the uncomfortable thing early rather than late
• Think critically and objectively, with a solution‑oriented approach that brings people with you

It would be fantastic if you:

• Have worked in a regulated industry such as healthcare or fintech, where privacy and data protection shape design decisions
• Have navigated hyper‑growth environments and understand the trade‑offs they force on architecture and team organisation
• Have formed a considered view on AI coding assistants — their real benefits and their real shortcomings

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 in this product area is Ruby on Rails and TypeScript/React in the monolith, Kotlin for new services, with Postgres, Redis and Kafka underneath.
• 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