Elasticsearch Stack Developer/administrator

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.