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Sr. platform engineer (ci/cd) (scale-up in model risk management)

Anvers
Infiveyears
Risk manager
80 000 € par an
Publiée le 28 avril
Description de l'offre

About the company

Our client is a fast-growing technology company operating at the forefront of Model Risk Management and AI Governance. Their SaaS platform helps organizations govern and monitor algorithms with transparency and compliance, from traditional risk models to modern AI systems.

Trusted by leading organizations worldwide, the platform enables teams to reduce risk, accelerate innovation, and stay ahead of evolving regulations such as the EU AI Act.


Your role

Our client is looking for a Sr. Platform Engineer – CI/CD & Security who thrives at the intersection of development and operations. In this role, you will work closely with their product and engineering teams and take ownership of the full delivery pipeline, from code commit to production release.

You will play a key role in ensuring release quality, strengthening automation practices, and enabling secure software delivery.


Key responsibilities


CI/CD & Release management

* Own and continuously improve CI/CD pipelines using Jenkins with advanced Groovy scripting
* Design and implement release management processes to ensure smooth and predictable deployments
* Build automated quality gates integrating testing, security scanning, and compliance checks


Security & culnerability management

* Implement and maintain security scanning across the SDLC (SAST, DAST, SCA, container scanning)
* Manage vulnerability workflows from detection through remediation tracking
* Integrate security tooling into CI/CD pipelines while maintaining fast delivery cycles
* Collaborate with engineering teams to establish secure coding practices and dependency management
* Develop automation scripts in Python and Bash to eliminate manual processes and increase team velocity
* Build self-service tooling that enables developers to deploy with confidence
* Create and maintain Helm charts for Kubernetes-native applications
* Continuously improve build times, feedback loops, and developer productivity
* Work closely with product and engineering teams throughout the entire SDLC
* Promote DevOps best practices and contribute to a culture of continuous improvement
* Define and maintain standards for versioning, branching strategies, and release processes
* Mentor team members on automation, security, and DevOps methodologies


What our client is looking for


Required

* 5+ years of experience in DevOps or Platform Engineering, with a strong focus on CI/CD and software delivery
* Expert-level proficiency with Jenkins and Groovy for pipeline automation
* Strong scripting skills in Python and Bash
* Production experience managing Kubernetes clusters and creating Helm charts
* Hands-on experience with security scanning tools and vulnerability management
* Strong understanding of SDLC processes and Agile/DevOps methodologies
* Solid knowledge of Git workflows and version control best practices
* Experience with Docker and containerization technologies
* Proven track record of building automation solutions that measurably improve team velocity
* Strong communication skills and ability to collaborate across engineering teams


Nice to have

* Experience with ArgoCD and Terraform
* Hands-on experience with SonarQube or similar code quality platforms
* Familiarity with AI-assisted development tooling (automated PR reviews, AI code analysis, intelligent test generation)
* Experience with observability stacks such as OpenTelemetry, Prometheus, Grafana, or Datadog
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