DevOps

Customer context :

• Luxury goods company
• International renown
• Cultural reference
• + more than 20,000 employees

You will be working mainly with the following Group functions:

• Base: Team responsible for the design and continuous improvement of the platform's service offering.
• Big Data technical architects
• Process developers for Big Data, Analytics and DataSciences business uses
• Product Owners and Project Managers
• The technical suppliers of the Big Data platform, mainly the operation of the infrastructure
• The Data Exploitation Support Unit, a cross-functional team in charge of production
• DLG Data Exploitation
  

The DevOps specialist joins a DevOps service center and is integrated into a Devops and DataOps team dedicated to the Group's Datalake Run, a team of around ten people. The team covers 3 main areas of expertise:

DevOps Build for Run

• Support project teams in Build-Test-Release phases, support, POC, industrialization of Big Data customer uses...
• Develop and integrate new technical components of the Big Data foundation, as well as tools for the Run: pipelines, deployment playbooks, etc.

DataOps

• ‍‍Performjob deployments for business uses, in production environments, as well as deployments in validation environments mainly for MCO actions, base evolution and stabilization.
• Provide N3 support for technical and application incidents, root cause analysis, feedback and recommendations for improvements.
• Provide platform MCO and certain functional administration tasks.

Technical Run Project Managers

• Manage and, in some cases, carry out internal platform improvement projects: supply of tools, security, supervision, automation, platform stabilization, etc.
• Organize deployments.
• Ensure that Incidents and Problems are resolved on the merits, lead task forces on post-mortems or complex cases.
  

• Pedagogue, sharing your knowledge with others
• Quality-conscious and able to measure it
• Curious and interested, with an eye to efficiency and pragmatism.
• Autonomy, sharing choices and best practices with the rest of the team