Skills

MongoDB PostgreSQL Risk Management Encryption GitHub GitLab CI/CD Docker Kubernetes Monitoring Configuration Management Version Control Jenkins Ansible AWS CloudFormation Architecture Network Architecture System Administration Machine Learning Databases git benchmarking AWS Analytics Redis CI/CD Pipelines Gitlab CI Kafka Terraform Prometheus Grafana

Job Specifications

Contract: Freelance

Start date: ASAP

Location: Brussels, Belgium (Hybrid)

Mandatory Requirements:

15+ years of experience in IT
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, 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 and AWS CloudFormation.
Familiarity with configuration management tools like Ansible for comprehensive system administration.
Familiarity with AI-powered code assistants (e.g., Amazon Q, GitHub Copilot) for accelerating coding processes and enhancing developer productivity.

Tasks:

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.

vDesign 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 tools.
Ensure seamless system integration and cross-platform compatibility through strategic API design, interoperability testing, and continuous benchmarking.

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About the Company

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