DevOps Engineer (AWS/Kubernetes/ML Platform) @ Acaisoft Poland Sp. z o.o.
Summary
Build and maintain AWS/Kubernetes infrastructure for a global fintech client, automate deployments with CI/CD, and support ML model serving in a 24/7 environment.
Hi there! If you’re looking for a high-impact position in an ambitious software house, we’ve got a match for you!
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.
⚠️ To align with the client’s schedule, we work until 10:00 PM CEST daily.
- Being able to work till 10 PM CEST daily
- 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.
Hi there! If you’re looking for a high-impact position in an ambitious software house, we’ve got a match for you!
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.
⚠️ To align with the client’s schedule, we work until 10:00 PM CEST daily.
,(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 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) Requirements: Python, Terraform, Kubernetes, AWS, IAM, ArgoCD, CDK Additionally: Sport subscription, Private healthcare, Flat structure, Small teams, International projects.