Cloud DevOps Engineer

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.