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# AI Platform engineer

- **Company:** Act Digital France
- **Location:** Brussel, Belgium
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Application Firewall, Automation of Tests, Bash Shell, Cloud Computing, Cloud Engineering, Code Review, Continuous Integration, Data Governance, Data Stores, Domain Name System (DNS), Identity and Access Management, Python (Programming Language), Key Management, Routing, OpenID, Security Assertion Markup Language (SAML), Scripting, Load Balancing, Istio, Gitlab, Git, AI Platforms, Kubernetes, Terraform, Docker
- **Published:** October 29, 2026
- **Apply:** https://www.adzuna.be/details/5945033168

## About the Role

Operating a container platform in production (Kubernetes or equivalent): workloads, networking, access control, upgrades, troubleshooting.

 - Service mesh and traffic management concepts: gateways, mutual TLS, routing, authorization policies.
 - Infrastructure as code (Terraform or equivalent): reusable modules, state across environments, automated testing.
 - Container fundamentals and packaging (Docker, Helm or equivalent, image registries).
 - Cloud platforms, AWS strongly preferred: networking, IAM, load balancing, WAF, DNS, certificates, key and secrets management.
 - Security and identity: OIDC and SAML federation, workload identity, secrets management, secure-by-design integration patterns.
 - CI/CD with Git (GitLab or similar), working through merge requests and code review.
 - Observability: metrics, logs, tracing and alerting with a cloud-native or vendor stack.
 - Scripting in Python or Bash for tooling and automated checks.
 - Strong analytical and problem-solving abilities. Strong documentation and communication skills; comfortable writing architecture decision records.
 - Fluent in English (verbal and in writing), Dutch or French optional.

## Description

Build and operate the platform's container runtime across environments (dev, acc, pro): cluster lifecycle, node provisioning and autoscaling, upgrades, storage and cost.

 - Own service-to-service networking and traffic management: ingress, mutual TLS, routing, network and admission policies that enforce the platform's security and high-availability standards.
 - Design and maintain the infrastructure as code that defines the platform, its automated tests, and the CI/CD pipeline that validates and applies changes per environment.
 - Package and deploy platform components and controllers: the model gateway and its data stores, the isolated runtime for agent code, DNS, certificate and secrets integrations.
 - Implement identity and access end to end: workload identities, federation with the corporate identity provider and with external clouds, user login and token-based access for machine clients, secrets management.
 - Build and operate the controlled public entry to the platform: edge load balancing, web application firewall, DNS and certificates, and the rules that decide what is reachable from where.
 - Make the platform observable: logs, metrics and alerts for the runtime, the network and the AI workloads, including model usage and cost.
 - Onboard use-case teams: provide the patterns, isolation boundaries, policies and documentation they need to run agents and tool integrations (e.g. MCP-based) safely on the platform, each backed by a documented, validated value case.
 - Contribute to technical designs and architecture decisions together with the tech lead and architect, and keep the documentation, diagrams and decision records in step with the implementation.
 - Embed security, responsible AI guardrails, governance and compliance by design (including AI Act considerations), in collaboration with architecture and data governance.
 - Monitor platform performance, reliability and cost, and contribute to ongoing optimisation.

Profile / Requirements :
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