Requirements:

• GitLab Ultimate
• Cloud
• Docker
• Kubernetes
• Python/Bash
• Linux
• OpenSearch/Elasticsearch, Kafka, Terraform

Project description

Our customer is a leading German producer of customized solutions for the self-supply of solar-powered electricity. This includes photovoltaic, energy storage systems as well as cloud technology systems helping individuals to become energetically independent.

We are seeking a highly skilled and experienced DevOps Engineer with a strong focus on CI/CD and Monitoring to join our team. The ideal candidate will have a deep understanding of design, implementation and improvement of CI/CD and Continuous Testing (CT). This role requires hands-on experience with a variety of tools and technologies, including Terraform, Kubernetes, OpenSearch/Elasticsearch and Grafana.

Please note that this position involves occasional on-call duty to resolve potential customer-critical incidents.

Main responsibilities:

• Design, implement, and continuously improve CI/CD and Continuous Testing (CT) environments based on GitLab Ultimate.
• Define and develop workflows and DevOps infrastructures for our product development.
• Automate pipelines to accelerate development processes and provide deployment support.
• Utilize Terraform and Ansible for infrastructure and configuration management automation.
• Implement and monitor compliance with security requirements according to NIS2 and Kritis.
• Plan, implement, and maintain the log and trace collection infrastructure using OpenSearch/Elasticsearch, Kafka, Kubernetes, Vector.dev and OpenTelemetry.
• Configure and manage monitoring solutions using Icinga2, Prometheus, and Grafana for system and application monitoring.
• Monitor and optimize log collection processes to ensure all relevant systems and applications are captured and performance is optimized.

Required skills:

• 5+ years of relevant DevOps experience.
• Experience with GitLab Ultimate (min. 2 years): Proven experience with CI/CD systems of GitLab Ultimate and their specific features.
• Previous experience working with Azure.
• Extensive experience with Docker and Kubernetes in scalable environments.
• Proficiency in scripting languages such as Python, Bash, or Linux scripting.
• Strong understanding of log collection concepts, tools, and technologies.
• Proficiency in configuration and management of OpenSearch/Elasticsearch, Kafka, Kubernetes, and Terraform.
• Experience in log parsing, data pipelines, and data cleansing (e.g. Vector.dev).

Recruitment process

• Recruitment screening and experience survey (ca. 1 hour)
• Profile-specific offline assignment (approx. 2–3 evenings of concentrated work, depending on experience)
• Client technical interview (ca. 1 hour)
• Client team interview (ca. 1 hour)
• Offer meeting (ca. 30 mins)