Senior DataOps (x/f/m)

Resumen del puesto
Indefinido
Paris
Salario: No especificado
Teletrabajo ocasional
Experiencia: > 3 años
Competencias y conocimientos
Contenido generado
Gestión de entrevistas
Creación de equipos
Terraform
Aws

Doctolib
Doctolib

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El puesto

Descripción del puesto

About Doctolib

Doctolib is a purpose
-led company that strives for a healthier world with more than 2,800 employees across France, Italy, and Germany. Since 2013, Doctolib has been improving the daily lives of more than 340,000 healthcare professionals by providing them with new
-generation technology and services. Doctolib also serves more than 80 million Europeans, offering a fast, frictionless and secure journey for all their care needs.

We are currently looking for a Data Ops (x/f/m) to help us build and develop the data architecture that will enable Doctolib to offer its users an ever more efficient service.

Your tasks

  • Build and maintain Doctolib's data architecture;
  • Guarantee the maintainability and scalability of the various components, relying on the services of Doctolib's cloud provider and all Devops best practices;
  • Adapt the technical stack to anticipate user needs and the limits of existing systems;
  • Evaluate new market technologies and their potential within the stack;
  • Collaborate with Data Engineers, Data Scientists, Security teams and developers to develop future Data
    -driven functionalities within Doctolib products;
  • Participate in team improvement and agile rituals.

Who you are :

If you don’t meet all the requirements below but believe this opportunity matches your expectations and experience, we still encourage you to apply! 

  • You have a significant experience in complex infrastructure and platform management, including at least 3 years in DevOps / Data Ops.
  • You're familiar with Terraform and container orchestrators
  • You have a good knowledge of networking and infrastructure
  • You have a good knowledge of GCP or AWS services
  • You like to innovate and make platform architectures evolve towards greater scalability
  • You have an interest in Big Data technologies, in building and running a data platform at scale.

What we offer

  • A stock
    -option program for each Doctoliber
  • A competitive health insurance paid 100% by the company
  • A dedicated onboarding program
    - the Doctolib Academy
  • Mental health and wellbeing offer in partnership with moka.care
  • The Doctolib Parent Care Program, including extended parental leave, meet
    -ups and inspiring conferences
  • A subsidy from the work council to refund part of the membership to a sport club or a creative class
  • Subsidy for lunch and various food offers in our offices
  • A flexible workplace policy offering both hybrid and office
    -based mode
  • Flexibility days allowing to work in EU countries and the UK 10 days per year

The interview process

  • Recruiter Interview
  • Case study to do at home + technical interview with the team
  • Team Meeting
  • Reference check / Criminal check record
  • Offer !

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 believe in improving access to healthcare for everyone
- regardless of where you come from, what you look like. This translates into our recruitment process: Doctolib is an equal opportunity employer. We don't just accept diversity at Doctolib, we respect and celebrate it!

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, or place of origin. If you have a disability, let us know if there's any way we can make the interview process smoother for you!

All the information transmitted via this form is processed by Doctolib for the purpose of managing applications. For more information on how Doctolib processes your application data, click here.

If you wish to exercise your rights or if you have any questions about the processing of your data, you can write to us at hr.dataprivacy@doctolib.com.

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