Elasticsearch Stack Developer / Administrator, Luxembourg
Job Summary :
We are seeking a highly skilled and experienced Elasticsearch Stack Developer / Administrator. The ideal candidate will have a strong background in designing, developing, and maintaining Elasticsearch-based solutions, with a deep understanding of data ingestion pipelines, distributed systems, and performance optimization. This role requires a blend of development, administration, and DevOps expertise, with a focus on delivering scalable and efficient search and analytics solutions.
Key Responsibilities :
- Design, implement, and manage Elasticsearch clusters and indices for high-performance search and analytics use cases.
- Develop and maintain data ingestion pipelines using Logstash, Beats, and custom integrations.
- Monitor and optimize Elasticsearch performance, including indexing, querying, and cluster health.
- Collaborate with infrastructure and application teams to integrate Elasticsearch into enterprise systems.
- Implement security best practices, including role-based access control and data encryption.
- Create and maintain dashboards and visualizations using Kibana or other tools.
- Automate deployment and configuration using Ansible, shell scripts, and CI / CD pipelines.
- Troubleshoot and resolve issues related to data ingestion, indexing, and cluster performance.
- Stay current with Elasticsearch and open-source ecosystem developments.
Required Qualifications :
10+ years of experience in IT, with a strong foundation in infrastructure and application development.3+ years of hands-on experience with Elasticsearch stack (Elasticsearch, Logstash, Kibana).Proficiency in Java and Python for custom development and scripting.Experience with DevOps tools and practices, including CI / CD pipelines and automation (e.g., Ansible, Jenkins).Strong understanding of distributed systems, data modeling, and performance tuning.Experience with cloud platforms, preferably AWS (minimum 2 years).Familiarity with shell scripting and Linux system administration.Excellent analytical, problem-solving, and communication skills.Ability to work in agile environments and collaborate across cross-functional teams.Preferred Qualifications :
Elasticsearch certification(s) (e.g., Elastic Certified Engineer).Experience with containerization (Docker, Kubernetes).Exposure to other search technologies or big data platforms (e.g., Apache Kafka, Hadoop).Knowledge of security and compliance standards related to data handling.