DevOps Engineer (AWS/Kubernetes/ML Platform)

We are looking for an Engineer to work with our client - an American multinational financial services corporation. The company processes payments for people in 200+ countries and territories worldwide.

• 5+ years of experience as a Platform, DevOps, or Cloud Engineer
• Strong hands-on experience with AWS (Amazon EKS, EC2, S3, IAM)
• Extensive experience with Kubernetes (RBAC, Networking, Cluster administration)
• Strong Infrastructure as Code skills using AWS CDK
• Experience with Jenkins, AWS CodeBuild, ArgoCD, Helm
• Knowledge of AWS security services (IAM, KMS, AWS Secrets Manager)
• Experience with CloudWatch and infrastructure monitoring
• Familiarity with model serving frameworks or MLOps environments

Nice to have:

• Experience with ML platforms such as Kubeflow, KServe, or Ray
• Experience with Prometheus and Grafana
• Knowledge of service mesh technologies
• Experience supporting GPU workloads

• Design, build, and maintain AWS infrastructure using Infrastructure as Code (CDK)
• Manage production Kubernetes (Amazon EKS) environments
• Develop and improve CI/CD pipelines using Jenkins, AWS CodeBuild, and ArgoCD
• Deploy and maintain Helm charts
• Build secure cloud infrastructure following AWS security best practices
• Configure IAM roles, KMS encryption, and AWS Secrets Manager
• Monitor platform health using Amazon CloudWatch and observability tooling
• Collaborate with software and ML engineers to support model deployment and serving
• Troubleshoot production issues and continuously improve platform reliability and performance

To align with the client’s schedule, working hours are until 9:00 PM CEST daily.