Elasticsearch Engineer
Posted 7 days ago by Ampstek
Negotiable
Undetermined
Undetermined
Brimington, England, United Kingdom
Summary: The role of an ELK Engineer involves designing, developing, and maintaining ELK stack infrastructure, focusing on optimizing log management and data visualization. The ideal candidate will leverage their expertise in Elasticsearch, Logstash, and Kibana to enhance operational and analytical capabilities. Collaboration with various teams is essential to streamline log workflows and ensure data security. Strong troubleshooting skills and effective communication are also key components of this position.
Key Responsibilities:
- Deploy, configure, and manage Elasticsearch clusters.
- Develop Logstash pipelines for ingesting, transforming, and enriching log data.
- Build and maintain Kibana dashboards for data visualization.
- Monitor, troubleshoot, and optimize ELK stack performance.
- Integrate ELK with other data sources and tools.
- Ensure data security and compliance.
- Collaborate with DevOps, Security, and Application teams to streamline log workflows.
Key Skills:
- Proven experience with ELK stack (Elasticsearch, Logstash, Kibana).
- Strong understanding of data indexing, querying, and visualization.
- Knowledge of scripting languages such as Python or Bash.
- Familiarity with Docker, Kubernetes, or cloud services (AWS, GCP, Azure).
- Good troubleshooting and problem-solving skills.
- Excellent communication skills.
Salary (Rate): undetermined
City: Brimington
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Description: We are seeking a skilled ELK Engineer to design, develop, and maintain our ELK stack infrastructure. The ideal candidate will have strong experience with Elasticsearch, Logstash, Kibana, and related tools, and will be responsible for optimizing log management, data search capabilities, and visualization solutions to support our operational and analytical needs.
Key Responsibilities:
- Deploy, configure, and manage Elasticsearch clusters.
- Develop Logstash pipelines for ingesting, transforming, and enriching log data.
- Build and maintain Kibana dashboards for data visualization.
- Monitor, troubleshoot, and optimize ELK stack performance.
- Integrate ELK with other data sources and tools.
- Ensure data security and compliance.
- Collaborate with DevOps, Security, and Application teams to streamline log workflows.
Qualifications: Proven experience with ELK stack (Elasticsearch, Logstash, Kibana). Strong understanding of data indexing, querying, and visualization. Knowledge of scripting languages such as Python or Bash. Familiarity with Docker, Kubernetes, or cloud services (AWS, GCP, Azure). Good troubleshooting and problem-solving skills. Excellent communication skills.