| Company | BESTSELLER |
| Job title | Senior DevOps Engineer – AI Applications |
| Job location | Aarhus, Denmark |
| Type | Full Time |
Responsibilities:
- Design, implement, and maintain automated deployment pipelines using tools like Terraform, Kubernetes, Helm, and GitHub Actions.
- Manage and optimize cloud infrastructure, ensuring high availability, performance, scalability, and cost efficiency.
- Implement robust monitoring, logging, and alerting systems (Datadog, Prometheus, Grafana, ELK stack) to maintain the reliability of our AI-driven applications.
- Lead infrastructure security initiatives, ensuring compliance with best practices and industry standards.
- Collaborate with backend and frontend engineering teams to streamline the development process and improve deployment cycles.
Requirements & Skills:
- A degree in Computer Science, Engineering, or a related discipline.
- Proven experience managing cloud infrastructure and services (Azure, AWS, GCP).
- Extensive hands-on experience with Kubernetes, Docker, Helm, Terraform, and infrastructure as code.
- Proficiency in CI/CD pipeline tools such as GitHub Actions, Azure DevOps, or Jenkins.
- Solid understanding of monitoring, logging, and alerting tools (Prometheus, Grafana, ELK stack).
- Strong scripting abilities (Python, Bash, or similar).
- Excellent communication skills, able to effectively collaborate across technical and non-technical teams.
- Fluent in English, both spoken and written.
The following qualifications would also be advantageous:
- Familiarity with data engineering and AI workloads (Databricks, Snowflake, Kafka).
- Experience in managing scalable, high-performance AI and machine learning deployments.
- Certification in cloud platforms (Azure, AWS, GCP) and relevant DevOps tools.
