AWS DevOps Engineer

vor 1 Woche

Genf, Genf, Schweiz AARK Tech Solutions GmbH Vollzeit CHF 80'000 - CHF 120'000 pro Jahr

Location:
 Geneva, Switzerland

Employment Type:
 Permanent

Work Model:
 Hybrid (3 days onsite, 2 days remote)

Experience Required:
 4–6 years

Languages:
 Advanced French(MUST) & English

We are seeking a skilled
AWS DevOps Engineer
 with a solid understanding of modern infrastructure, automation, and cloud-native practices. The ideal candidate will collaborate with development, infrastructure, and cybersecurity teams to design, build, and operate reliable, scalable, and secure DevOps platforms in a hybrid cloud environment.

Key Responsibilities:

  • Design, implement, and maintain DevOps-oriented platforms leveraging AWS, Azure, and GitHub.
  • Collaborate with developers, infrastructure engineers, and cybersecurity teams to ensure compliance with security and performance standards.
  • Promote and implement best practices in DevOps, automation, and continuous delivery.
  • Develop Infrastructure as Code (IaC) using tools like Terraform, Ansible, and Puppet.
  • Manage CI/CD pipelines and automation scripts for deployment and monitoring.
  • Support infrastructure engineering activities including scripting, automation, and integration tasks.
  • Utilize programming and scripting languages such as Go, Python, Java, Bash, and PowerShell for automation and system optimization.

Required Skills & Experience

  • 4–6 years of hands-on experience in DevOps, Cloud Engineering, or Infrastructure Automation.
  • Strong knowledge of cloud architecture, integration, security, networking, and identity/access management.
  • Proficiency in programming/scripting (Python, Java, Go, Bash, or equivalent).
  • Experience with IaC and configuration management tools (Terraform, Ansible, Puppet, Kubernetes).
  • Working knowledge of CI/CD tools and practices.
  • Familiarity with version control systems like Git and GitHub Actions.

Nice-to-Have Skills:

  • Experience with
    databases or messaging systems
     such as IBM MQ, Kafka, Oracle, MS SQL Server, or PostgreSQL.
  • Exposure to
    Azure DevOps
     or multi-cloud environments.

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