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Wallet icon Coin icon Rate 7 200 € - 8 300 € / month info
Timer icon Form of cooperation Full-time / 80% Remote
Briefcase icon Sector Banking
Location icon Location Viedeň

info The reward is calculated upon delivery of 20 MD per month (1MD=8h)

Project duration 6-12 months with the possibility of extension
Period of cooperation 01.10.2025 - 31.03.2026
Start date 01.10.2025 - 31.10.2025
Technology
  • UNIX/Linux
  • Cassandra
  • ElasticSearch
  • SQL
  • Apache Kafka
  • Kubernetes
  • WS Webservice REST
  • Docker
  • LLM Large Language Model
  • Helm
Languages
  • English flag English - active, B2/C1/C2

Project description

  • cooperation on the project focuses on supporting AI initiatives and integrating LLMs (Large Language Models) into the production environment of the bank's internet banking platform
  • cooperation in the design, deployment and optimization of infrastructure for AI/ML workloads, including GPU compute and distributed training
  • tasks and responsibilities:
    • analysis and resolution of technical incidents in cloud and on-premise environments
    • support of development teams in infrastructure and architecture issues
    • monitoring and correlation of logs (Kibana, CloudWatch)
    • performance testing and recommendations for optimization
    • support for application sizing and coordination of the release process into production
    • migration of on-premise infrastructure to AWS
    • setting up and maintaining monitoring (Kibana, Prometheus, Grafonnet, OpenTelemetry)
    • operation and deployment of LLM/AI components in the production environment
    • optimization of infrastructure for AI workloads (GPU compute, distributed training, inference)
    • cooperation with Data Science teams in the design and maintenance of CI/CD pipelines for ML models
    • documentation and suggestions for improving the infra environment
  • cooperation in an agile environment (Scrum/Kanban), communication with the team in Vienna
     
  • cooperation in a hybrid setup on-site (1 day a week, Vienna) / remote, within the onboarding period it is necessary to expect a greater frequency of 2-4 days a week

Project requirements

  • min. 3-5 years of experience in the position of DevOps Engineer
  • very good knowledge of Linux administration
  • advanced experience with AWS (EKS, RDS, ALB, EC2, SG)
  • practical knowledge:
    • Kubernetes and Helm
    • Elasticsearch, Kafka, Cassandra
    • REST API (JSON) and the basics of Java application servers (Tomcat/Java app servers)
  • experience with:
    • Docker or other container technologies
    • model-serving platforms (SageMaker, MLflow, Kubeflow, Hugging Face or similar)
    • Infrastructure as Code (Terraform/CloudFormation) and CI/CD processes (GitLab CI, GitHub Actions)
  • experience with relational databases (SQL)
     
  • active knowledge of English at a communication level (both spoken and written) B2 - C1
     
  • a big advantage:
    • experience with optimizing GPU workloads (distributed training, inference)
    • experience with monitoring stack (Prometheus, Grafana, OpenTelemetry, Kibana, CloudWatch)
    • experience with messaging services (MQ, AQ, JMS)
    • knowledge of MLOps practices and model lifecycle management
    • experience with security standards and compliance in a regulated environment (banking/fintech)
    • relevant certifications (AWS Certified DevOps Engineer, CKA/CKAD, Certified Kubernetes Administrator)
    • certifications: AWS Certified DevOps Engineer, CKA/CKAD, Certified Kubernetes Administrator
       
  • tech stack:
    • Linux
    • Elasticsearch, Kafka, Cassandra, SQL
    • AWS (EKS, RDS, ALB, EC2, SG)
    • Kubernetes, Helm, Docker
    • LXC, SageMaker, MLflow, Kubeflow, Hugging Face
    • Java Application Servers
    • REST API, MQ/AQ/JMS, IaC, Git
    • Prometheus, Grafonnet, OpenTelemetry
       
  • analytical thinking
  • team player
  • sense of detail
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Are you interested in this project?
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