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

KEYES; Brussel Hoofdstad; Hybrid; EUR 90,000 - 150,000; Full time

Job summary

KEYES in Belgium seeks an experienced architect to design and implement secure, interoperable solutions that integrate application and infrastructure for scalable, efficient operations.

You will build robust data platforms for AI/ML workloads, optimise multi-cloud environments, design MLOps pipelines, and collaborate across teams to meet business objectives while ensuring security and compliance.

Qualifications

• Proven ability to design secure, scalable architectures for enterprise systems.
• Experience building data platforms for AI/ML workloads.
• Strong knowledge of multi-cloud environments and automation.
• Familiarity with security and vulnerability scanning tools.
• Experience with CI/CD and IaC tooling.

Responsibilities

• Architect secure, interoperable solutions using standard frameworks.
• Develop vendor-agnostic data platforms for AI/ML workloads and optimise multi-cloud environments.
• Design MLOps pipelines automating the model lifecycle from development to serving.
• Create security architectures aligned with risk management and data protection standards.
• Continuously assess and optimise system performance and scalability with metrics and analytics.
• Collaborate with AI developers, analysts and IT operations to align architecture with business goals.
• Establish CI/CD pipelines using IaC and configuration management for rapid deployment.
• Ensure integration and cross‑platform compatibility via API design and interoperability testing.

Skills

Architectural design

Security architecture

CI/CD processes

Interoperability

Multi-cloud

Performance optimisation

Collaboration across teams

API design

Monitoring & analytics

Documentation

Tools

Docker

Kubernetes

Oracle

PostgreSQL

OpenSearch

MongoDB

Prometheus

Grafana

Redis

OWASP

SonarQube

Git

Jenkins

GitLab CI

Kafka

RabbitMQ

Terraform

AWS CloudFormation

Ansible

GitHub Copilot

Kiro AI assistant

eGrants

Job description

• 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.

• 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.

• 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 organisational and time-management 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