(Senior) DevSecOps Engineer

• Bachelor's or master's degree in Computer Science, Software Engineering, Information Technology, or a related technical field, or equivalent professional experience.
• Strong hands-on experience in DevOps, DevSecOps, Platform Engineering, Site Reliability Engineering, or Cloud Engineering; Strong practical experience with Microsoft Azure, cloud networking, identity, secrets, and policy controls.
• Demonstrable hands-on experience with Terraform for modular, version-controlled Infrastructure as Code; Experience with developer workspace technologies such as Coder, or comparable cloud or remote development workspace platforms.
• Experience with CI/CD, containers, Kubernetes, artifact management, and secure software-supply-chain practices.
• Strong scripting or software-engineering skills using Python, PowerShell, Bash, or equivalent; Experience implementing monitoring, observability, alerting, and operational automation.
• Ability to translate platform designs and requirements into secure, scalable, and supportable technical solutions.
• Ability to troubleshoot complex platform and integration issues; Ability to collaborate across engineering, architecture, security, and enterprise service teams.

The Customer Support AI Platform Integration team is establishing the foundation for the next generation of AI-enabled products within ASML.

Our mission is to provide Development as a Service through secure, scalable, and enterprise-grade platform capabilities. The platform enables software engineers, data engineers, AI engineers, and data scientists to efficiently develop, deploy, and operate software, analytics, and AI solutions.

The CS AI Platform combines enterprise services, managed cloud capabilities, commercial and open-source technologies, and purpose-built components. The team integrates these elements into a coherent, secure, reliable, and supportable developer experience.

We are looking for a hands-on Senior DevSecOps Engineer who will design, build, integrate, and operate secure platform capabilities. You will translate agreed technical designs into working solutions and take lifecycle ownership of the capabilities you deliver.

As Senior DevSecOps Engineer, you independently design, implement, integrate, automate, secure, and operate assigned capabilities within the CS AI Platform. You translate agreed platform designs and engineering requirements into maintainable technical solutions. You work directly with platform technologies and apply software-engineering, everything-as-code, automation-first, and security-by-design practices.You collaborate with platform consumers and enterprise stakeholders, contribute to technical decisions and standards, and help improve the platform through operational insight and user feedback.

• Design, build, integrate, and operate secure platform capabilities on Microsoft Azure.
• Build governed, reproducible, and self-service developer workspaces using technologies such as Coder or comparable platforms; Develop, test, version, and maintain reusable Terraform modules and platform templates.
• Build and operate CI/CD pipelines for application code, infrastructure, configuration, policy, container images, and deployments.
• Integrate enterprise services, managed cloud services, commercial products, open-source technologies, and purpose-built components; Implement cloud networking, identity and access management, workload identities, secrets management, and policy controls.
• Build reusable platform services, automation modules, templates, and golden paths.
• Implement artifact management, container registries, vulnerability controls, and secure software-supply-chain practices.
• Implement monitoring, logging, metrics, tracing, alerting, and operational automation; Troubleshoot complex issues across workspaces, Azure infrastructure, pipelines, Kubernetes, networking, and integrated services.
• Own assigned platform capabilities throughout their lifecycle, including documentation, support, reliability, and continuous improvement.
• Support platform consumers during onboarding, development, deployment, and production readiness; Contribute to technical decisions, engineering standards, reviews, and knowledge sharing.

• Experience building and scaling Internal Developer Platforms (IDPs) and Dev-as-a-Service capabilities, including self-service platforms, developer portals, service catalogs, platform APIs, GitOps, policy-as-code, and golden paths is preferred
• Experience integrating enterprise, cloud, commercial, and open-source technologies in large-scale environments, including support for AI/ML workflows and the needs of AI engineers and data scientists is preferred

• You are a hands-on engineer who takes ownership of the quality, security, reliability, and supportability of the capabilities you deliver.
• You are customer focused and turn recurring engineering needs into reusable platform solutions rather than one-off implementations.
• You solve problems pragmatically within enterprise architecture, security, governance, and sourcing boundaries.
• You communicate technical decisions, risks, and trade-offs clearly and collaborate effectively across technical disciplines and organizational boundaries.
• You are curious, committed to continuous learning, and willing to challenge existing approaches constructively.

What Success Looks Like

• Engineering teams can rapidly provision secure, consistent, and reproducible development environments.
• Platform capabilities are self-service, reusable, supportable, and easy to adopt.
• Security and operational requirements are built into the platform rather than added afterwards.
• Engineering teams spend less time arranging infrastructure and more time delivering business value.

The CS AI Platform Integration team is establishing a central Dev-as-a-Service capability for software, data, and AI-enabled application delivery. The platform combines governed developer workspaces, Infrastructure as Code, CI/CD, cloud and container runtime capabilities, artifact management, security automation, observability, and operational controls.

The team works closely with platform consumers, architects, cybersecurity and privacy specialists, IT Platform Integration teams, and enterprise service owners. The platform is operated as a product with clear ownership, lifecycle management, support, and continuous improvement.

The Senior DevSecOps Engineer owns the design, implementation, and operation of assigned platform capabilities and contributes to technical decisions and engineering standards.

You will be based in Veldhoven, the Netherlands.