devops engineer.

You will join a high-impact, collaborative environment where you can solve complex technical challenges alongside top-tier engineers and AI researchers. In return, you will receive: 

• A competitive compensation package and opportunities for rapid professional growth. 
• The opportunity to design cutting-edge cloud & AI infrastructure powering state-of-the-art systems. 
• A dynamic, forward-thinking tech culture operating at the intersection of AI and scalable cloud systems.

As our DevOps Engineer, you will work closely with AI researchers, systems engineers, and embedded developers to ensure the seamless deployment and stability of complex AI systems. Your key responsibilities will include: 

• Cloud & IaC: Design, provision, and maintain highly scalable cloud environments (primary focus on AWS) using Terraform. 
• Container Orchestration: Manage, scale, and optimize Kubernetes (EKS/k8s) clusters, focusing on GPU-accelerated workloads for AI model training and inference pipelines. 
• CI/CD Automation: Build and maintain automated build, test, and deployment pipelines (GitHub Actions, GitLab CI) for microservices, system software, and AI models. 
• MLOps Integration: Collaborate with AI teams to streamline model training workflows, model registry management, and artifact storage using MLOps best practices. 
• Observability & Security: Implement end-to-end monitoring (Prometheus, Grafana, Datadog) and enforce strict cloud security, IAM access controls, and secrets management (HashiCorp Vault).

To excel in this position, you should bring a strong background in AWS cloud infrastructure, container orchestration, and automated deployment pipelines. We are looking for: 

• Cloud Expertise: Strong hands-on experience with AWS platforms and services (EC2, EKS, S3, IAM, VPC, CloudWatch). 
• Containerization: Advanced expertise in Kubernetes and Docker, including GPU node management, ingress controllers, and cluster networking. 
• IaC & Automation: Deep proficiency in Terraform for declarative infrastructure management, paired with strong scripting skills in Python, Bash, or Go.
• CI/CD Systems: In-depth understanding of modern CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins.

While not mandatory, the following experience will significantly enhance your application:

• Experience with MLOps tools and frameworks (e.g., Kubeflow, MLflow, Ray, Weights & Biases). 
• Background in high-security, defense tech, or ISO/SOC2 compliant environments. 
• Familiarity with secrets management tools (HashiCorp Vault) and security scanners (Trivy, SonarQube).

4+ years of experience as a DevOps Engineer

Got any questions regarding this position? You can contact Konstantinos Adamopoulos at 6940080281, from Monday to Friday. Otherwise, feel free to contact me at kadamopoulos@randstad.gr.

We look forward to receiving your application, uploading your updated CV by clicking the 'apply now' option.

In case that your application advances to the next stage, you may be automatically invited to submit a video, answering a few interview questions.

Please note that for transparency and equity reasons, only those applications made online via our site will be assessed. After the screening of all the CVs received, we will only contact the candidates who meet the requirements of the job to arrange an interview. ​All applications are considered strictly confidential.