Solutions Architect
1 week ago
For better matches, please edit the job to add at least 3 mandatory skills. Edit
#12727 | ELK Stack Architect
Indore / Noida / Hyderabad
Job Description
We are seeking an experienced ELK Stack Architect to design, implement, and optimize Elasticsearch, Logstash, and Kibana solutions that transform data into actionable intelligence
Roles & Responsibilities
Key Responsibilities
- Architect ELK Solutions: Design scalable and robust ELK Stack architectures for log analysis, search, and visualization.
- Deploy and Maintain: Oversee the deployment, configuration, and maintenance of Elasticsearch clusters and associated components.
- Data Pipeline Management: Develop and optimize data ingestion pipelines using Logstash, Beats, and other tools.
- Visualization: Create intuitive and interactive dashboards to provide insights to stakeholders.
- Performance Tuning: Analyze and optimize cluster performance, query efficiency, and index management.
- Security: Implement security best practices, including access control, encryption, and authentication for ELK components.
- Collaboration: Work with DevOps, IT, and software engineering teams to ensure seamless integration with existing infrastructure.
- Documentation: Maintain detailed documentation of architecture, configurations, and processes for future reference.
- Innovation: Stay updated on the latest ELK Stack features and related technologies, and implement improvements as needed.
Required Skills and Qualifications
- ELK Stack Expertise: Experience with Elasticsearch, Logstash, and Kibana, including cluster architecture and management.
- Programming Skills: Proficiency in Python, Java, or other scripting languages for developing custom integrations.
- Data Parsing: Advanced knowledge of Logstash pipelines and Beats for log and metric ingestion.
- Query and Analysis: Expertise in Elasticsearch queries (DSL), aggregations, and full-text search.
- Performance Optimization: Proven experience in managing large-scale Elasticsearch clusters and tuning for high availability and low latency.
- Cloud Platforms: Familiarity with Elasticsearch on AWS, Azure, or Google Cloud.
- Security: Hands-on experience with securing ELK deployments using X-Pack or similar tools.
- Monitoring: Experience with monitoring tools like Elastic APM or Prometheus for observability.
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