DevOps Engineer (AWS/Kubernetes/ML Platform)

Expected, AWS, Kubernetes, Jenkins, AWS CodeBuild, ArgoCD, Helm

Optional, Kubeflow, KServe, Ray, Prometheus, Grafana

Operating system, macOS

About the project, 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.

This is how we work, at the client's site, you focus on a single project at a time, you can change the project, you focus on product development, agile

Team members, backend developer, frontend developer, fullstack developer, technical leader, data scientist

Your responsibilities, 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

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

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

What we offer, Private medical care, Multisport card, Friendly, informal atmosphere, and direct contact with everyone in the company, Modern technologies

This is how we work on a project, Continuous Deployment, Continuous Integration, DevOps

Benefits, sharing the costs of sports activities, private medical care, remote work opportunities, flexible working time, extra social benefits, baby layette, school layette, employee referral program, charity initiatives, Gift vouchers for kids (birthdays, Christmas, Child's Day)

Recruitment stages, HR call (15 min.), Technical call with our team (+/-45 min.), Meeting with our Client (30 - 60 min.)

ACAISOFT POLAND Sp. z o.o., Acaisoft is a Polish company partnering with industry leaders across healthcare, telecom, fintech, and insurance. We specialize in delivering cloud-native, data-driven, and scalable solutions for enterprises operating in fast-moving environments. We currently serve around 30 active customers worldwide, mostly based in the U.S. We specialize mainly in:, * Data Engineering & AI, * Cloud-Native Solutions, including Cost Optimization, * Platform Engineering, Since technology is constantly being developed at such a fast pace, we always strive to be one step ahead of the market and keep up with the latest solutions.