Principal DevOps Engineer (m/w/d) at AT GmbH | Bavaria, DE | Rezi

Principal DevOps Engineer (m/w/d) at AT GmbH

Principal DevOps Engineer (m/w/d)

AT GmbH · Bavaria, DE

2 weeks ago

Principal DevOps Engineer (m/w/d)

AT GmbH · Bavaria, DE

21 days ago
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About the Role

We are looking for you starting immediately at one of our German locations in Munich, Nuremberg, Leipzig, Berlin, Essen, or Frankfurt am Main!

Responsibilities

  • Collaborate with clients on the implementation, operation, and optimization of data and ML solutions.
  • Take responsibility for the successful deployment and management of machine learning models and the underlying platform.
  • Conceptualize, develop, and continuously optimize automated CI/CD pipelines, considering quality, security, and scalability.
  • Evaluate and introduce modern technologies and best practices in automation, monitoring, observability, and scalability.
  • Foster effective interdisciplinary collaboration and establish common standards and best practices between development, data science, and operations.

Requirements

  • Successfully completed studies in Computer Science, Data Science, or a comparable qualification.
  • Fluent German language skills, both spoken and written.
  • Minimum of 4 years of full-time professional experience, including building and maintaining infrastructure/data solutions.
  • Experience with cloud services such as AWS and/or Azure.
  • Experience with container orchestration, e.g., Kubernetes, Helm.
  • Familiarity with Infrastructure as Code, e.g., Terraform or AWS CloudFormation.
  • Experience with CI/CD pipelines.
  • Monitoring, alerting, and incident management are part of your daily routine.
  • Good scripting skills in Python or Shell.
  • Strong problem-solving skills and independent work despite high team competencies.

Skills

  • Data
  • AI
  • Machine Learning
  • Cloud Services (AWS, Azure)
  • Kubernetes
  • Helm
  • Terraform
  • AWS CloudFormation
  • CI/CD Pipelines
  • Monitoring
  • Alerting
  • Incident Management
  • Python
  • Shell Scripting

Location

  • Munich
  • Nuremberg
  • Leipzig
  • Berlin
  • Essen
  • Frankfurt am Main

Work Type

  • Hybrid
  • Workation (EU-Ausland)

Experience Level

  • Minimum 4 years of full-time professional experience

Education Level

  • Degree in Computer Science, Data Science, or comparable qualification

Benefits

  • Trust-based working hours with flexible scheduling
  • Workation opportunity (from EU countries)
  • Unique team atmosphere
  • Flat hierarchies
  • Open feedback culture
  • Annual team workshops
  • Buddy program
  • Regular social and professional events
  • Dog-friendly offices
  • Intensive onboarding and training process
  • Personal development plan and individual training opportunities
  • Diverse workshop and training offerings within the Data.Academy
  • Leadership, project management, and expert career paths
  • Childcare subsidy
  • Company pension plan with 20% subsidy
  • Numerous corporate benefits and employee offers
  • Starting credit in the internal merchandise shop
  • Competitive salary with variable components
  • Mental Health & Wellbeing Support, coaching, and meditation
  • Fitness and yoga rooms (Munich office)
  • Regular employee surveys
  • EGYM Well Pass membership with Plus1 option
  • Bicycle leasing
  • Internal sports activity groups
  • Free hot and cold drinks, fresh fruit
  • Rooftop terrace (grill)
  • Subsidy for Deutschlandticket
  • Central office locations
  • Good public transport connections

About the Company

  • Alexander Thamm GmbH is one of the leading providers of Data Science and Artificial Intelligence in the German-speaking region.
  • The company generates real added value for and with its customers from data, ensuring their future competitiveness.
  • Alexander Thamm GmbH develops and implements data-driven innovations and business models.
  • The service portfolio covers the entire Data Journey – from data strategy and algorithm development to building IT architectures, maintenance, and operation.
  • Visit us on Facebook, Instagram, LinkedIn, or Stackoverflow to learn more and look behind the scenes.