Senior DevOps/SRE Engineer

Location: Brussels

Start Date: 01/04/2026

End Date: 31/12/2026

Language: English

Work Schedule: Full-time, Hybrid (2 days on-site per week)

Description:

We are looking for an exceptional individual to join as a DevOps - Data Platform Engineer within the Observability and Analytics Cluster of the Tooling Services organization. As a DevOps/SRE Engineer, you will be part of a dedicated team operating and expanding the usage of our Service Observability Platform. You will collaborate with delivery teams globally, drive Operational Excellence, and make a substantial impact in our rapidly evolving organization.

Key Responsibilities:

• Coach and mentor junior engineers, providing technical assistance and facilitating knowledge transfer.
• Contribute to the squad's roadmap through industry-leading engineering practices.
• Apply DevOps expertise to enhance system availability, resiliency, stability, reliability, and self-service capabilities of the Observability Platform.
• Optimize infrastructure performance, addressing telemetry data challenges, leveraging Ansible for Infrastructure-as-Code (IaC), and managing bare metal, virtualized environments, Kubernetes, Kafka, and Elastic Stack (ELK).

Required Skills & Experience:

• Medium to senior-level experience in Data Engineering with a strong DevOps focus.
• Hands-on expertise with Jenkins, Git, and Ansible for CI/CD and automation.
• Proven experience operating and managing the Elastic Stack (Elasticsearch, Logstash, Kibana).
• Knowledge or affinity with Elastic Agent, Fleet, APM, ML, SIEM products is a plus.
• Experience with Kafka ecosystem components (KStream, KSQLDB, KConnect).
• Proficiency in OpenShift/Kubernetes deployments.
• Programming skills in Java or Python.
• Solid background in managing large on-premises infrastructures, including compute, storage, and networking.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Excellent problem-solving skills and ability to troubleshoot complex distributed systems.
• Experience in data engineering, including building and maintaining data pipelines and ETL processes using ELK stack (ELK data engineer certification is a plus).
• Familiarity with Agile methodologies.
• Strong collaboration skills and the ability to work with remote teams across various time zones.
• Degree in Computing Science or equivalent professional experience.

Good to Have:

• Familiarity with the OpenTelemetry standard.
• Knowledge of UML and C4 model for system design.
• Foundational knowledge in Machine Learning (ML).

Skills:

• DevOps Engineering Practices, CI/CD pipelines (Senior, 6-9 years)
• Elastic Stack (Indexing, Search & Data Retention) (Senior, 6-9 years)
• Good Communicator
• Good Sense of Prioritization
• Infrastructure, Systems Admin/Engineering (Senior, 6-9 years)
• Kafka Ecosystem (4-5 years experience)
• Platform Design Mindset
• Public Cloud Application/Platform Hosting (4-5 years experience)
• Quality Assurance Engineering (4-5 years experience)