
Doctolib · Berlin
We are looking for an Engineering Manager to join Doctolib's Automation Platform (AUTOP) team, which empowers all Doctolib engineers to build, test, and deploy ...
We are looking for an Engineering Manager to join Doctolib's Automation Platform (AUTOP) team, which empowers all Doctolib
engineers to build, test, and deploy software with confidence and speed.
As part of the Platform organization, Autop’s mission is to build and maintain the automation infrastructure and developer tools
that enable our engineering teams to deliver high-quality software efficiently. Every feature shipped at Doctolib — from
appointment booking to teleconsultation to AI-powered clinical tools — flows through AUTOP's automation infrastructure. We're the
platform behind the platform. When product teams ship faster, safer, and with more confidence, it's because AUTOP built the rails
they run on.
AUTOP (Automation Platform) is responsible for critical developer-facing systems including: CI/CD automation, testing
infrastructure (unit, integration, E2E, contract, visual regression), local and ephemeral development environments, release
management, dependency management, and developer productivity tooling.
As the Engineering Manager for AUTOP, your responsibilities include, but are not limited to:
stars;
potential.
automation);
depending on them daily;
based on feedback;
time-to-production… supporting Doctolib teams to monitor their metrics (DORA, performance, costs, etc).
About our tech environment
microservices (Java, Kotlin, TypeScript)
infrastructure-as-code solutions
deployments across multiple environments for 200+ development teams
frameworks
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.
engineering looks like
feedback
dynamics
through a difficult conversation
non-negotiable
of 40% (15% within the probationary period)
medical reasons, and psychological support
If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles!
At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We
evaluate candidates based solely on qualifications and motivation, without any form of discrimination.
The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to
Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability.
To ensure equal opportunities, we invite you to exclude personal information (e.g. pictures, age) from your applications. If you
require any accommodation, please let us know for support during the hiring process.
Join us in building the healthcare we all dream of!
All information provided is processed by Doctolib for application management. For data processing details, click here. Please
contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.
Location: Come and join us in Berlin. Freenow by Lyft empowers smarter mobility decisions, helping people move freely and cities thrive. We’re looking for a dynamic Engineering Manager to lead our Passenger and Driver Care team. In this role you will rebuild a team to ship customer and driver support automations, build AI assist features and lead certain integrations, while working with talented frontend, backend and AI engineers. If you’re ready to bring your ideas, lead with impact, and rebuild a team to deliver the best support experience, hop on board for your next ride with Freenow. ---------------------------------------------------------------------------------------------------------------------------------- YOUR DAILY ADVENTURES WILL INCLUDE: * Ensure a sustainable delivery of your team while giving transparency, making pragmatic trade-offs and motivating the team with your positive energy * Integrate and collaborate with other disciplines and other tech leads as one team * Develop and improve processes and software development techniques together with your team * Help your software engineers to grow: Help them with their weaknesses and foster their strengths, provide frequent feedback and set goals * Foster autonomy in decisions and processes of your squad * Work with the recruiting team: Not only on attracting but also on retaining and onboarding new team members Our Techstack: Java | Kotlin | AWS | Docker | Git | Kafka | ElasticSearch & more ---------------------------------------------------------------------------------------------------------------------------------- TO BE SUCCESSFUL IN THIS ROLE: * You have a strong software engineering background, building software systems for multiple years, ideally with Java or Kotlin * You're familiar with financial processes such as charging customers, creating invoices, providing data to accounting * You possess strong leadership skills and can effectively guide and motivate your team * You are committed to continuous learning and professional growth, and you foster a culture of learning, knowledge sharing, and collaboration within your team. * Your way of communication is structured and transparent as well as polite but clear * You have a growth mindset and can quickly adapt to change * You are a creative problem-solver and enjoy finding innovative solutions to challenging engineering problems. * You are interested in leveraging LLMs to build the best customer and driver support experience * Excellent English communication skills (written and verbal) ---------------------------------------------------------------------------------------------------------------------------------- BENEFITS & PERKS IN A NUTSHELL: Flexible working arrangements LinkedIn Learning Sabbatical & special leave policies WeRoad partnership Birthday, 24th + 31st December off Short term EU work policy Mobility Credit Health Insurance Employee assistance program ---------------------------------------------------------------------------------------------------------------------------------- DIVERSITY, EQUITY & INCLUSION: FREE NOW is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age. We want you to grow and evolve, bring your true self to work. ---------------------------------------------------------------------------------------------------------------------------------- ABOUT FREENOW: We are Freenow, the European taxi app with the broadest multi-mobility offering, available in 9 markets and over 180 cities. Our app gives millions of passengers the freedom to move with a wide choice of services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds and public transport. Headquartered in Hamburg and led by our CEO Thomas Zimmermann, we are on a mission to make urban mobility more efficient, sustainable and inclusive. Since July 2025 we have been part of Lyft, a global mobility platform connecting riders and drivers for billions of rides across North America and Europe. Together we are building a more caring and connected world, creating new opportunities for innovation, growth and impact.
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You will participate in the full lifecycle: ingestion, transformation, testing (unit/integration), deployment, and monitoring. * Optimization & Maintenance: Write highly efficient code and collaborate with the team to refactor legacy systems, helping to improve performance and reduce cloud compute costs (e.g., optimizing Athena/Snowflake/Redshift clustering or AWS Glue jobs). * Software Engineering Best Practices: Adhere to and promote the team's technical standards by actively utilizing CI/CD workflows, containerization (Docker), and automated testing. * Data Quality & Observability: Focus on infrastructure monitoring rather than just business dashboards. You will implement alerts and checks (e.g., dbt tests, Great Expectations) to catch data quality issues before they reach stakeholders. * Collaboration & Growth: Work closely with Senior Engineers to plan architectures, participate actively in code reviews, and advocate for engineering rigor within the squad. YOUR PROFILE We are looking for a Data Analytics Engineer who approaches data with a software engineering mindset. You will join our Data Solutions squad to build and maintain production-grade data platforms. This is not a Data Analyst role. While you will understand the business context, your primary focus is technical: building scalable workflows, writing clean and testable Python/SQL code, automating deployments, and supporting cloud infrastructure optimizations. You will ensure our pipelines remain reliable, cost-effective, and maintainable. We are looking for a candidate who has solid analytics engineering experience or a strong background in backend development focused on data. Must-Have Skills * 2+ years of experience specifically in Analytics Engineering or Data Engineering. * Solid Python proficiency: You write modular, object-oriented code, utilize relevant libraries for testing, and understand exception handling and logging. * Strong skills in SQL & dbt: You can build scalable data models (Jinja templating, macros, incremental strategies) and understand query execution plans. * Software Engineering Fundamentals: Hands-on experience with Git flows, CI/CD pipelines (e.g., GitHub Actions, GitLab CI), and Containerization (Docker). * AWS Cloud Native Experience: Experience building and maintaining data workflows using serverless architectures such AWS Lambda, StepFunctions, Glue, and Athena. * Testing Mindset: Experience implementing Unit Tests and Integration Tests for data pipelines rather than relying solely on manual checks. * Data Warehouse Ops: Solid understanding of warehousing architecture (Snowflake, Redshift, or BigQuery), including partitioning and clustering concepts. NICE TO HAVE * Experience with Infrastructure as Code (Terraform) to manage cloud resources. * Experience with orchestration tools like Airflow, Dagster, or Prefect. * Knowledge of big data processing frameworks (Spark/PySpark). * Experience with agentic coding CLI or IDE tools for more efficient planning, architecting and implementation of features. * Familiarity with dashboarding tools (Streamlit, Preset, Tableau, etc.) – Note: This is helpful for debugging and monitoring, but not the core function of the role. * B.S. or M.S. in Computer Science, Engineering, Mathematics or other relevant fields. WHY US? On top of a competitive package… * We are open to flexible work models: we work in a hybrid mode and remotely from anywhere in the world up to 3 months per year. * To encourage education and professional growth, we offer an individual yearly budget of 1.200€. * You are entitled to 30 vacation days per year. * We offer Urban Sports Club membership, company pension scheme. * Regular team events and company events organised by our People team (Trust us, they know how to throw a party!). * We equip you with the latest hardware and provide you with all the tools you need to thrive. SALARY RANGE (ANNUAL ON-TARGET EARNINGS) 60,000 - 75,000 euros RECRUITING PROCESS For technical roles (Data, Engineering, and Product), candidates are encouraged to upload any technical certifications referenced in their CV via the "Other Documents" section of the application form. Alternatively, certification documents may be submitted after the first technical interview. Any certifications listed on the CV must be provided and successfully validated before proceeding to the second technical interview stage. * Step 1: Value-based interview (30 mins). * Step 2: Deep-dive technical interview (1.5 hours) with the Data team. * Step 3: Practical data-crunching challenge. * Step 4: Team Meet & Greet — the final step to ensure we're a great fit for each other. WORK MODEL Hybrid DESIRED START DATE As soon as possible
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You will act as the strategic advisor and operational lead for a portfolio of partners, helping them build scalable Parloa practices, drive successful customer outcomes, and expand their long-term impact within the Parloa ecosystem. You will work closely with Partner Managers, Account Executives, Solution Engineers, Customer Success, Professional Services, and Product teams while engaging directly with partner executives, delivery leaders, architects, and project teams. This is your opportunity to shape how enterprise partners adopt, scale, and operationalize agentic AI solutions while helping define and mature Partner Success at one of the fastest-growing AI companies in the world. 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All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. Parloa is an e-verify employer in the USA. Please click here to learn more. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.