DevOps Engineer

Dev Ops Engineer Job Description

As a Dev Ops Engineer, you will play a key role in designing,automating, operating, and evolving our container platforms and data services.

You will work in a cloud‑native and hybrid infrastructure spanning Red Hat Open Shift  (on‑prem) and Azure Kubernetes Service (AKS).
You will focus on platform reliability, automation, andsecure-by-design delivery, enabling application and analytics teams to deployand operate mission‑critical workloads in a scalable and predictable way.

Infrastructure and platform components are managed using Infrastructure as Codeand Git Ops‑driven workflows, with a strong emphasis on consistency,security, and operational excellence.

Platform Operations & Automation

• Operate,maintain, and continuously improve Red Hat Open Shift and AKSclustersin production environments, ensuring availability,scalability, and security.
• Designand implement automation using Ansible Automation Platform and Terraformfor platform provisioning, configuration management, andlifecycle operations.
• Support containerized workloads using Helm, Operators, and Git Ops patterns.
• Collaborate with developers and architects to define platform standards, deployment patterns, and Dev Ops best practices.
• Enableand support self‑service capabilities for application teams while maintaining platform guardrails.

CI/CD, Git Ops & Artifact Management

• Design,implement, and maintain CI/CD pipelines based on Git Hub and Git Ops principles.
• Support container image build, versioning, and promotion workflowsacrossenvironments.
• Integrate and manage artifact registries, including:
  • Azure Container Registry (ACR) for AKS
  • Red Hat Quayor other OCI‑compliant registries for Open Shift
• Ensure secure handling of artifacts, image signing, scanning, and lifecyclemanagement.
• Support deployment automation using Argo CD–based Git Ops workflows.

Cloud & Hybrid Infrastructure

• Manage workloads across AKS (Azure) and on‑prem Open Shift, including hybrid connectivity patterns.
• Integrate Kubernetes platforms with Azure‑native services where appropriate.
• Designand operate networking, ingress/egress, storage, and identityintegrationsin Kubernetes environments.
• Support high‑throughput and low‑latency data platforms, including:
  • Kafka
  • HiveMQ
  • Click House

Observability, Reliability & Operations

• Implement and operate observability stacks using Prometheus, Grafana, and centralized logging solutions.
• Troubleshoot platform‑level issues, including performance degradation, networking problems, and cluster misconfigurations.
• Participate in incident response and on‑call rotations for critical platform services.
• Contribute to runbooks, documentation, and operational maturity of the platform.

We offer you the opportunity to join one of the world’s premier research centers in nanotechnology at its headquarters in Leuven, Belgium. With your talent, passion and expertise, you’ll become part of a team that makes the impossible possible. Together, we shape the technology that will determine the society of tomorrow.

We are committed to being an inclusive employer and proud of our open, multicultural, and informal working environment with ample possibilities to take initiative and show responsibility. We commit to supporting and guiding you in this process; not only with words but also with tangible actions. Through imec.academy, 'our corporate university', we actively invest in your development to further your technical and personal growth.

We are aware that your valuable contribution makes imec a top player in its field. Your energy and commitment are therefore appreciated by means of a market appropriate salary with many fringe benefits.

• Strong hands‑on experience operating Red Hat Open Shift and/or AKSinproduction.
• Solid understanding of Kubernetes internals, container networking, and storage concepts.
• Proven experience with Infrastructure as Code(Terraform) and automation frameworks(Ansible).
• Experience with Git Hub‑based workflows and Git Ops deployment models.
• Hands‑on exposure to Kafka, HiveMQ, and distributed data platforms.
• Experience with container image lifecycle management and artifact registries(e.g. ACR, Quay, OCI).
• Familiarity with…