Operations Engineer

ThoughtLabs Belgium; Brussel Hoofdstad; On-site; EUR 90,000 - 130,000; Full time

Job summary

ThoughtLabs Belgium is seeking an Architect to design secure, interoperable solutions that scale across multi-cloud environments. You will build vendor-agnostic data platforms for AI/ML workloads and design robust MLOps pipelines from development through serving.

You will shape security architectures, manage risk, and drive continuous performance improvements using advanced analytics while collaborating with AI developers and IT operations.

Qualifications

• Experience in designing secure, scalable architectures.
• Strong knowledge of cloud and on-premises integration patterns.
• Proven track record with containerised deployments and CI/CD pipelines.
• Familiarity with data platforms for AI/ML workloads.

Responsibilities

• Architect secure, interoperable solutions using standard frameworks.
• Develop vendor-agnostic data platforms for AI/ML workloads.
• Design MLOps pipelines from development to serving.
• Create security architectures aligning with risk & data protection standards.
• Assess and optimise system performance and scalability with predictive analytics.
• Collaborate with AI developers, analysts, and IT operations to align architecture with business goals.
• Establish CI/CD pipelines using infrastructure-as-code and configuration management.
• Ensure seamless integration and cross-platform compatibility via API design and benchmarking.

Skills

Problem-solving

Analytical skills

Team collaboration

Communication skills

Attention to detail

International/multi-cultural

Coding proficiency

Architectural thinking

Strategic thinking

Tools

Docker

Kubernetes

Terraform

Ansible

Jenkins

GitHub Copilot

Git

GitLab CI

ArgoCD

Prometheus

Grafana

Kafka

RabbitMQ

OpenSearch

PostgreSQL

Oracle

MongoDB

Redis

Terraform CloudFormation

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 tools.

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

Specific expertise and technologies

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 and including management of network policies at cluster level.

Significant experience with managing and optimising data-intensive distributed systems for processing, querying and storing.

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 and AWS CloudFormation.

Good knowledge of the GitOps framework and tools that follow its prescription to manage deployments and achieve the desired application state (e.g., ArgoCD)

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.

Skills

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.