Senior ML DevOps Engineer - Near-Site - 90% Remote (Belgium)

KEYES; Brussel Hoofdstad; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

KEYES is seeking an experienced architect to design and implement secure, scalable data platforms for AI/ML workloads across multi-cloud environments. You will build interoperable systems, develop MLOps pipelines, and define security architectures aligned with regulatory standards.

You will collaborate with AI developers, analysts, and IT operations, establishing CI/CD and IaC practices to accelerate deployment while maintaining high reliability and governance across platforms.

Qualifications

• Experience architecting secure, scalable, vendor-agnostic data platforms for AI/ML workloads.
• Strong skills in designing and implementing interoperable cloud architectures and APIs.
• Proven ability to lead cross-functional teams and communicate complex technical concepts clearly.
• Familiarity with CI/CD pipelines, IaC, and modern DevSecOps practices.

Responsibilities

• Architect and implement secure, interoperable solutions using standard frameworks and design patterns; integrate application and infrastructure for scalability and efficiency.
• Develop robust data platforms for AI/ML workloads and optimise multi-cloud environments for performance and flexibility.
• Design MLOps pipelines automating the model lifecycle from development to serving.
• Create security architectures aligned with risk management and regulatory standards.
• Continuously assess and optimise system performance and scalability with advanced metrics and predictive analytics.
• Collaborate with AI developers, business analysts, and IT operations to ensure architecture aligns with objectives.
• Establish CI/CD pipelines supporting rapid development and deployment using IaC and configuration management tools.
• Ensure seamless system integration and cross-platform compatibility via API design and interoperability testing.

Skills

Architectural thinking

Interoperability design

Cross-functional collaboration

Problem-solving

Documentation

Security best practices

Tools

Docker

Kubernetes

Prometheus

Grafana

Kafka

RabbitMQ

Terraform

AWS CloudFormation

Ansible

Git

Jenkins

GitLab CI

OpenSearch

PostgreSQL

Oracle

Redis

OWASP

SonarQube

GitHub Copilot

Kiro

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