Contract Cloud Platform DevOps Engineer - AWS & Kubernetes

FlixBus; Warszawa; On-site; PLN 167,000 - 246,000; Full time

Job summary

FlixBus is seeking an experienced DevOps Engineer (m/f/d) to support Flix on a project basis through a service agreement collaboration. The consultant will design, automate, monitor, and maintain cloud infrastructure for the Cloud Platform team within the Foundation Division.

The Cloud Platform team provides tools, infrastructure, and best practices that enable software engineers to build, deploy, and operate secure, robust applications with minimal operational overhead.

Qualifications

• Strong experience in DevOps roles across cloud platforms and infrastructure design.
• Hands-on Terraform and AWS expertise.
• Proficiency with Linux, Kubernetes, and CI/CD processes.
• Experience scripting in Python, Bash, or Go.
• Excellent communication and collaboration with engineering teams.

Responsibilities

• Design, deploy, monitor, and maintain cloud infrastructure on AWS and Kubernetes.
• Advance Infrastructure as Code using Terraform.
• Automate operational processes and infra workflows with scripting.
• Support CI/CD pipelines and platform utilization by engineering teams.
• Troubleshoot infrastructure with Prometheus, Grafana, or Datadog.
• Contribute to platform reliability, incident response, and DR efforts.
• Evaluate new technologies and provide implementation recommendations.
• Assist developer experience by enabling efficient use of platform tools.
• Participate in on-call activities to ensure platform availability.

Tools

Terraform

AWS

Kubernetes

CI/CD tooling

Job description

FlixBus is seeking an experienced DevOps Engineer (m/f/d) to support Flix on a project basis through a service agreement collaboration. The consultant will design, automate, monitor, and maintain cloud infrastructure for the Cloud Platform team within the Foundation Division.

The Cloud Platform team provides tools, infrastructure, and best practices that enable software engineers to build, deploy, and operate secure, robust applications with minimal operational overhead.