DevOps Engineer
Core
Design and implement scalable, secure DevOps architectures integrating AI models and agents with enterprise applications and data pipelines.
Role type
Senior DevOps Engineer (AI/ML Integration)
Builds
Cloud, hybrid, and on-premises infrastructure; automated CI/CD pipelines; container platforms; AI model serving and integration.
Domain
Cloud Infrastructure, DevOps, Artificial Intelligence (LLMs)
Deliverable
production ML models | infrastructure
Required skills
CI/CD pipeline implementation, Infrastructure as Code, Container orchestration (Kubernetes/OpenShift), Cloud platform implementation (AWS/Azure/GCP), AI model integration and optimization, Programming (Java/Python/Go), Automated testing and security integration.
Preferred skills
Full stack application engineering, Cloud/Kubernetes certifications, Dutch language proficiency (B1+).
Technologies
Azure DevOps, Jenkins, GitLab, GitHub, Ansible, Maven, Docker, Terraform, Llama, Mistral, Falcon, Kubernetes, OpenShift, AWS, Azure, GCP.
Responsibilities
Implement scalable DevOps architectures across cloud, hybrid, and on-premises environments; Integrate AI models, agents, and platforms with enterprise workflows; Develop, review, test, and debug code; Design DevOps standards embedding security and compliance; Implement automated CI/CD pipelines and container platforms.
Seniority
Mid-Senior, hands-on IC
