AI Platform engineer

Act Digital France; Brussel; On-site; EUR 80,000 - 120,000; Full time

Job summary

act digital is seeking a senior platform/DevOps engineer to build and operate a scalable container platform across environments. You will own security-focused networking, IaC pipelines, and observability while coordinating with architects to deliver a robust, compliant data and analytics platform.

Fluency in English is required; Dutch or French is a plus. The role emphasizes automation, cost management, and secure-by-design principles across multi-cloud and on-prem environments.

Qualifications

• Operating a container platform in production (Kubernetes or equivalent).
• Service mesh and traffic management concepts.
• Infrastructure as code with Terraform or equivalent.
• Container fundamentals and packaging (Docker, Helm).
• Cloud platforms, AWS strongly preferred.
• Security and identity: OIDC and SAML federation, secrets management.

Responsibilities

• Build and operate the platform's container runtime across environments: cluster lifecycle, node provisioning, autoscaling, upgrades, storage and cost.
• Own service-to-service networking and traffic management: ingress, mutual TLS, routing, policies for security and high availability.
• Design and maintain infrastructure as code that defines the platform, tests, and CI/CD pipeline per environment.
• Package and deploy platform components: model gateway, data stores, isolated runtime, DNS, certificates and secrets integrations.
• Implement identity and access end to end: workload identities, federation with corporate identity providers, token-based access for machines.

Skills

Kubernetes

Service mesh

Infrastructure as code

Docker

Helm

GitLab CI/CD

Observability

Python

Bash

Identity and access management

Tools

Terraform

AWS

Job description

act digital is an international consulting and engineering group that supports its clients in their digital transformation projects.

Present in 12 countries and with more than 7,000 employees, we leverage our expertise to address their challenges in software development, cybersecurity, data, cloud, and AI.

Our ambition: to become the trusted technology partner of the most innovative companies, by designing and securing systems that enhance their performance and resilience.

Joining act digital means becoming part of an agile and committed organization that works closely with its clients to turn ideas into concrete results, with pragmatism and high standards.

Le poste :

You will join our team of experts in IT Data and Analytics Department.

Your responsibilities will include:

• 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.

Profil recherché :

What profile are we looking for this position:

Must-have skills :

• 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.

Nice to have :

• Running model gateways or model access components (e.g. LiteLLM, AWS Bedrock, Azure OpenAI).
• Sandboxing and workload isolation (e.g. gVisor, Kata Containers, seccomp).
• Agentic AI concepts and tool integrations (e.g. MCP), seen from the hosting side.
• RAG, embeddings and vector stores; data platforms and warehouses such as Snowflake.
• Policy as code (e.g. OPA, Kyverno, Kubernetes admission policies).
• Data governance, security frameworks and AI Act / responsible AI principles.
• Working with AI coding assistants in a reviewed, test-driven workflow.
• Experience with agile methodologies and DevOps practices.