Job description:
We currently have a vacancy for a Cloud Operations Specialist fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the company's premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client's IT team on site.
Your tasks
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 central security service
Requirements
University degree in IT or relevant discipline, combined with minimum 17 years of relevant working experience in IT;
Experience in administering systems in a virtualized Cloud environment;
Experience in API development and integration;
Experience with monitoring and logging tools (e.g. ELK stack, Prometheus, Grafana, OpenTelemetry, Cloudwatch);
Excellent knowledge of security, risk and compliance frameworks, disaster recovery, high availability architectures, operating systems and networking connectivity;
Good knowledge of virtualization technologies;
Good knowledge in scripting languages for cloud infrastructure automation and infrastructure as code (e.g. Terraform, Cloud Formation, ARM);
Good knowledge of containerisation and orchestration platforms (e.g. Kubernetes, Docker, Podman, EKS, PKS);
Good knowledge of Cloud infrastructure setups from vendors such as, but not limited to, Azure and Amazon;
Good knowledge of CI/CD tools (e.g. Gitlab CI, Nexus, AWS CodePipeline, Ansible);
Knowledge of messaging services and platforms (e.g. Kafka, Redis, RabbitMQ);
Knowledge of cloud architecture and infrastructure optimisation for machine learning applications;
Knowledge of Python and data security measures;
Knowledge of encryption mechanisms and ML security would be an asset;
Excellent command of the English language