Cloud Solution Architect (ML) - Near-Site - 90% Remote (Belgium)

Architect and implement secure, interoperable solutions using standard frameworks and design patterns, integrating application and infrastructure to achieve scalability and efficiency. Develop robust, vendor-agnostic data platforms for AI and machine learning workloads, optimising multi-cloud environments for performance and flexibility.

Expertise in containerisation and orchestration using Docker and Kubernetes for scalable application deployment . Expertise in network architecture design , particularly integrating distributed systems with hybrid cloud solutions . Comprehensive experience with relational and non - relational databases , optimising them for high-volume transaction processing (e.g., Oracle, PostgreSQL, OpenSearch, MongoDB). Proficiency with advanced monitoring tools like Prometheus and Grafana to enhance infrastructure monitoring and real-time alerting. Experience with advanced load balancing solutions and caching technologies (e.g. Redis) to support high-traffic applications. Knowledge of security and vulnerability scanning tools (e.g., OWASP, SonarQube), implementing secure coding practices including robust encryption and identity management . Profound knowledge of version control systems like Git and integration platforms such as Jenkins , GitLab CI. Proficiency in distributed streaming and message queue technologies such as Kafka and RabbitMQ to efficiently manage data flows and support scalable data processing architectures. Proficiency in using infrastructure - as - code like Terraform or AWS CloudFormation . Familiarity with configuration management tools like Ansible for comprehensive system administration. Familiarity with AI-powered code assistants (e.g., Amazon Kiro, GitHub Copilot) for accelerating coding processes and enhancing developer productivity. Good knowledge of European Commission grant management ecosystem (eGrants) would be an asset . Strong problem-solving and analytical skills.

Strong team spirit and experience working effectively within a collaborative team. Capability of integration in an international/multi-cultural environment. Excellent communication skills to articulate complex technical concepts. Attention to detail in infrastructure design and well-structured documentation. Ability to write clean, efficient, and maintainable code

Responsibilities

• Design of structured MLOps pipelines automating and streamlining the models’ lifecycle, from development to serving.
• Design security architectures that protect infrastructure and applications, aligning with risk management strategies and regulatory data protection and security standards.
• Continuously assess and optimise system performance and scalability using advanced metrics and predictive analytics.
• Collaborate with cross-functional teams, including AI developers, business analysts, and IT operations, to ensure architecture aligns with business objectives and technological capabilities.
• Establish CI/CD pipelines to support rapid application development and deployment in dynamic environments, utilising infrastructure-as-code and configuration management tool Ensure seamless system integration and cross-platform compatibility through strategic API design, interoperability testing, and continuous benchmarking.

Requirements

• Strong organisational and time-management skills.