Job description
We are seeking a skilled ELK Developer & Administrator with strong expertise in Elasticsearch (v8.
0+) . This is a hybrid role with a primary focus on Development (70%) and Administration (30%) .
The ideal candidate will bring deep experience in Elastic architecture, log management, cluster support, and cloud-native deployments , along with the ability to design scalable, high-performance Elastic environments.
Key Responsibilities 🔹 Development (70%) Design, develop, and optimize Elasticsearch-based solutions (v8.
0+) Implement and manage Logstash pipelines for log ingestion and transformation Build advanced Kibana dashboards and visualizations Configure and manage Index Lifecycle Management (ILM) policies Implement scalable log management frameworks across applications and microservices Integrate APM solutions for performance monitoring Optimize search performance, indexing strategies, and cluster architecture 🔹 Administration (30%) Manage and maintain Elastic clusters in production environments Monitor cluster health, troubleshoot performance issues, and ensure high availability Support on-call rosters and production issue resolution Deploy and manage Elastic infrastructure in AWS environments Work with Kubernetes (K8s) for containerized Elastic deployments Handle upgrades, scaling, backups, and disaster recovery strategies Required Technical Skills Elasticsearch (v8.
0 or above) – Strong hands-on experience in both Development & Administration Logstash – Advanced pipeline development and log parsing Kibana – Dashboard creation and visualization expertise Index Lifecycle Management (ILM) AWS (Cloud-native experience required) Kubernetes (K8s) – Managing Elastic clusters in containerized environments Experience managing Elastic Servers in production Domain Expertise (Mandatory Experience With) Network Logs Security Logs Application Logs Application Performance Monitoring (APM) Microservices architecture logging Preferred / Nice-to-Have Skills Experience with Elasticsearch AI/ML capabilities Vector Search Machine Learning integrations Strong architectural mindset with experience designing scalable Elastic clusters Experience in high-availability and distributed system environments What We’re Looking For Strong problem-solving skills Experience in production-grade environments Ability to handle both development and operational responsibilities Clear understanding of Elastic stack architecture best practices
This job post has been translated by AI and may contain minor differences or errors.
