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RepRisk AG
17h ago

Senior DevOps Engineer(m/w/x)

Zürich
Full-timeWith Home OfficeSenior
AI/ML

Description

In this hybrid role, you will drive innovation by automating cloud infrastructure and optimizing CI/CD pipelines to ensure the company’s global systems remain scalable, reliable, and efficient.

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Requirements

  • Experienced Cloud or DevOps professional
  • Enjoyment of troubleshooting complex IT issues
  • Experience with modern cloud-based tools
  • Experience in automating processes
  • Willingness to expand expertise
  • Degree in Computer Science, Engineering, or 5 years experience
  • Solid experience in AWS infrastructure
  • Ability to manage multi-tenant Kubernetes clusters
  • Expertise in CI/CD and GitOps
  • Experience with cloud networking components
  • Exposure to AI-assisted tooling
  • Interest in AIOps and machine learning
  • Proactive approach and independent working
  • Continuous learning mindset
  • Valid work permit

Education

Bachelor's degree
OR
Master's degree

Work Experience

5 years

Tasks

  • Collaborate with DevOps and software engineers
  • Prevent and resolve production system issues
  • Implement cloud-native and cloud-agnostic solutions
  • Oversee infrastructure automation and cloud runtimes
  • Monitor and maintain hybrid cloud systems
  • Apply GitOps workflows to distributed systems
  • Optimize internal CI/CD infrastructure and toolchains
  • Plan cloud infrastructure with technical architects
  • Automate operational processes using Python and Golang
  • Deliver reusable DevOps patterns and controls
  • Manage system alerting and root cause analysis
  • Enhance system scalability and reliability

Tools & Technologies

AWSTerraformCloudFormationKubernetesAzure Kubernetes Service (AKS)Amazon EKSGitLabGitOpsVPCDNS

Languages

EnglishBusiness Fluent

Benefits

Diverse Work

  • Growing, diverse, and experienced team

Learning & Development

  • Skill development and support

Startup Environment

  • Agile development ecosystem
  • Entrepreneurial, international, and dynamic environment

Modern Equipment

  • State-of-the-art open-source technologies

Flexible Working

  • Flexible working hours and arrangements
  • Hybrid work model

Purpose-Driven Work

  • Shared mission and accountability

Informal Culture

  • Inclusive work environment
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