North America

North America

Principal Consultant (DevOps)

Atlanta , GA · Principal

Sponsorship not specifiedDetected 14 days ago
PythonAzureKubernetesCI/CDJenkinsDevOps

About the role

  • In addition to high-quality consulting, we also provide offshoring and nearshoring services.
  • As professionals, as a global company, and as a digital pioneer.
  • The only way we can achieve this is by constantly reinventing ourselves, hiring exceptional talent, claiming the position of thought leader, and sharing our knowledge.

Requirements

  • With over 20 years of experience, we help the world's top 250 companies and category leaders overcome digital challenges, embrace innovation, adopt new technology, and implement new business models.

Benefits

  • Medical, Dental and Vision Insurance (Subsidized)
  • Health Savings Account
  • Flexible Spending Accounts (Healthcare and Dependent Care)
  • Short-Term and Long-Term Disability
  • Unlimited access to LinkedIn learning solutions
  • Matched 401(k) Retirement Savings Plan

Company info

  • Authority which means being a recognized leader in the service lines we serve.
  • That's what got us to where we are today, and we're incredibly proud of that.
  • Xebia is always on the lookout for extraordinary people.
  • We believe that quality without compromise starts with our people.
  • We care about mutual respect, appreciating cultural differences, and complementing, strengthening, and motivating each other to become an authority in your field.
  • Supporting the passion of exceptionally smart people is the foundation of our organization.
  • Everything we do - our mission, values, strategic innovation, hiring process, and knowledge management - is anchored on this principle.
  • At Xebia, we learn, grow, explore and create new frontiers in business together.
  • For more details please visit www.xebia.com
  • Principal Consultant (DevOps)-Xebia -Atlanta, GA
  • About the job
  • Budget - $152,131/yr

This listing is sourced directly from North America's careers page and normalized into a canonical job model.