Hybrid Engineering Manager – Data Platform

Posted 5 days ago

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About the role

  • Engineering Manager responsible for the Data Platform vision and team leadership at Safran.AI. Leading a team to enhance AI solutions and support diverse data use cases.

Responsibilities

  • Own the technical and organizational vision of the Data Platform
  • Maximize value delivered to AI teams by adopting a customer-centric approach
  • Ensure your team’s performance and engagement
  • Lead a team of 5 to 8 engineers working on data foundations
  • Pragmatically structure the Data Platform to support a wide range of use cases
  • Work closely with AI, Software and Infrastructure teams
  • Manage, support, and develop the Data team

Requirements

  • At least 5 years of backend development experience in Python
  • Excellent organizational skills; autonomous and proactive
  • Good understanding of DevOps-related tools (CI/CD, monitoring, logging, configuration management, etc.)
  • Pedagogical and enjoy coaching colleagues to help Deep Learning Scientists improve their development practices
  • Knowledge of ML engineering and MLOps is a plus

Benefits

  • Remote-friendly environment with up to three days of remote work per week
  • Thursday afternoons dedicated to skills development with at least one high-profile guest speaker every two months
  • Competitive and equitable salary across the organization
  • A minimum of 33 days of leave per year
  • Second-parent leave equal to post-birth leave (10 weeks for the first child)
  • Tailored professional and personal development programs

Job title

Engineering Manager – Data Platform

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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