JOB TITLE: SENIOR DEVOPS/SRE ENGINEER

LOCATION: BRUSSELS REGION, BELGIUM

CONTRACT DURATION: 01/04/2026 TO 31/12/2026

LANGUAGE: ENGLISH

WORK MODE: HYBRID (2 DAYS ON-SITE PER WEEK)

DESCRIPTION

We are seeking an exceptional individual to join us as a DevOps – Data Platform Engineer within the Observability and Analytics Cluster of the Tooling Services organization at SWIFT in Belgium.

As a DevOps/SRE Engineer, you will be part of a dedicated team responsible for operating and expanding the use of our Service Observability Platform. You will collaborate with delivery teams worldwide, drive Operational Excellence, and make a meaningful impact in a rapidly evolving organization.

Key Responsibilities

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

Required Skills & Experience

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

Nice to Have

• Familiarity with the Open Telemetry standard.
• Knowledge of UML and the C4 model for system design.
• Basic knowledge of Machine Learning (ML).

Required Competencies

• DevOps Engineering Practices & CI/CD Pipelines
• Elastic Stack (Indexing, Search & Data Retention)
• Infrastructure / Systems Administration / Engineering
• Kafka Ecosystem
• Public Cloud Application / Platform Hosting
• Quality Assurance Engineering
• Good communication skills
• Strong sense of prioritization
• Platform design mindset