DevOps Engineer

Docker DevOps Engineer / 6 week contract with extension / CET Timezone

Job Summary

We are seeking a highly skilled professional to manage and optimize our development and deployment workflows, focusing on CI/CD automation, containerized environments, and AI model deployment. This role combines DevOps expertise with advanced AI infrastructure knowledge to ensure seamless delivery and performance of cutting‑edge applications.

CI/CD Management

• Design, implement, and maintain CI/CD pipelines using Azure DevOps for efficient software delivery.

Application Deployment

• Deploy and manage applications on OpenShift using Helm charts.
• Deploy and optimize Large Language Models (LLMs) and other AI models on GPU‑enabled OpenShift clusters using frameworks such as vLLM and TensorRT‑LLM.

Performance Benchmarking

• Conduct benchmarking of LLMs for performance and quality, ensuring optimal resource utilization and accuracy.
• Implement and maintain observability solutions with Grafana, Prometheus, and Splunk for system health and performance tracking.
• Develop and maintain APIs using Python and FastAPI to support scalable and secure services.

Qualifications

• Strong experience with Azure DevOps, OpenShift, and Helm.
• Hands‑on expertise in deploying AI models on GPU infrastructure.
• Proficiency in Python and API development with FastAPI.
• Familiarity with monitoring tools like Grafana, Prometheus, and Splunk.
• Knowledge of LLM benchmarking and optimization techniques.
• Experience with container orchestration and cloud‑native environments.
• Understanding of AI frameworks and GPU acceleration technologies.
• Strong problem‑solving and automation mindset.

Duration: 6 weeks initially with possibility to extend.

Location: Fully remote (must be able to work CET timezone).

Seniority Level

Mid‑Senior level

Employment Type

Contract

Job Function

Information Technology

Industries

Technology, Information and Media, IT Services, IT Consulting