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DevOps Engineer - Remote

Posted 14 weeks ago
DevOps / Sysadmin
Full Time
Germany

Overview

Aifano GmbH is an AI-driven company dedicated to revolutionizing enterprise workflows through intelligent automation and data-driven solutions. We develop products that seamlessly integrate AI technologies to optimize business processes efficiently. Our focus is on leveraging the best foundation models, fine-tuning AI for enterprise needs, and ensuring secure, scalable AI adoption.

In Short

  • Join Aifano GmbH as a DevOps Engineer.
  • Design and maintain CI/CD pipelines for seamless deployments.
  • Manage cloud infrastructure on AWS, GCP, or Azure.
  • Implement monitoring and alerting solutions using Grafana, Logstash, Prometheus, and ELK Stack.
  • Manage containerized applications using Docker and Kubernetes.
  • Ensure system reliability, scalability, and security best practices.
  • Automate infrastructure as code using Terraform or Pulumi.
  • Troubleshoot production issues and ensure high availability of AI-powered applications.
  • Work closely with the development team to optimize deployments and performance.

Requirements

  • Strong expertise in DevOps, cloud infrastructure, and automation.
  • Experience with CI/CD pipelines and deployment automation.
  • Hands-on experience with monitoring tools like Grafana and Logstash.
  • Knowledge of Docker, Kubernetes, and container orchestration.
  • Familiarity with event-driven architectures and microservices.
  • Experience with infrastructure as code (Terraform, Pulumi, or similar).
  • Strong problem-solving mindset and ability to work independently.

Benefits

  • Remote-first with options for hybrid work in Germany.
  • Start date: ASAP.

AIFANO

AIFANO

Aifano GmbH is an innovative AI-driven company focused on transforming enterprise workflows through intelligent automation and data-driven solutions. The company specializes in developing products that integrate advanced AI technologies to enhance business processes efficiently. Aifano is committed to leveraging cutting-edge foundation models, fine-tuning AI applications for specific enterprise needs, and ensuring secure and scalable adoption of AI across various industries.

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