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Uni Systems

Cloud DevOps Engineer

Uni Systems
Belgium · Full-time · Mid-Senior

At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing, and we are looking for a Cloud DevOps Engineer to join our UniQue team.

What will you be bringing to the team?

  • Configure and administer cloud infrastructure (IaaS, PaaS, hybrid hosting) supporting data and AI analytics applications
  • Define and develop configuration management and deployment strategies for Cloud resources
  • Define and implement cloud migration strategies for existing applications
  • Ensure availability and stability of cloud production environments
  • Develop, and design software automation and scripts to orchestrate cloud and virtualization technologies with defined scope, schedule and expectations
  • Design and implement MLOps, DataOps and DevSecOps capabilities (e.g. observability, continuous monitoring, traceability, CI/CD pipelines)
  • Work with the development teams in resolving software and other related problems associated with the cloud deployment infrastructure and the code deployed onto platforms such as Database and/or Middleware
  • Collaborate with cross-functional teams, including data scientists, data engineers, and IT specialists, to build robust, scalable, and secure AI systems
  • Manage day-to-day deployment and maintenance activities
  • Analyse and optimise information systems' performances, scalability and costs
  • Security administration and monitoring, in adherence to the security rules imposed by the Commission's central security service (complemented by local rules where needed); under supervision of the LISO (Local Information Security Officer)

Requirements

What do you need to succeed in this position?

  • A Bachelor degree and at least 17 years of experience, or a Master degree and a minimum of 13 years relevant experience
  • Good knowledge of virtualization technologies and administering systems in virtualized cloud environments.
  • Good knowledge of cloud platforms and services, such as Microsoft Azure, Amazon Web Services (AWS), and hybrid setups.
  • Good knowledge of Infrastructure as Code (IaC) tools and cloud automation scripting, such as Terraform, CloudFormation, and Azure Resource Manager (ARM) templates.
  • Experience in scripting languages (e.g. Python) for infrastructure automation and orchestration.
  • Good knowledge of containerisation and orchestration platforms, including Kubernetes, Docker, Podman, Amazon EKS, and VMware PKS.
  • Good knowledge of CI/CD pipelines and tools such as GitLab CI, AWS CodePipeline, Ansible, and Nexus.
  • Experience in API development and integration.
  • Knowledge of messaging systems and services, such as Kafka, Redis, and RabbitMQ.
  • Strong understanding of security, risk and compliance frameworks, data security measures (including encryption mechanisms and machine learning security), disaster recovery, high availability architectures, and networking connectivity.
  • Knowledge of cloud architecture and infrastructure optimisation for machine learning applications.
  • Experience with monitoring and logging tools, such as the ELK stack, Prometheus, Grafana, OpenTelemetry, and AWS CloudWatch
  • Strong command of the English language (minimum C1 level) both spoken and written will be required

Key Skills

Ranked by relevance

cloud aws machine learning virtualization cicd ai configuration management infrastructure as code high availability cloudformation kubernetes prometheus gitlab ci terraform rabbitmq ansible grafana python docker devops vmware gitlab redis kafka nexus mlops paas elk eks
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Posted
Jun 19, 2025
Type
Full-time
Level
Mid-Senior
Location
Brussels

Industries

Technology Information Internet

Categories

Engineering Information Technology

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