Solutions Architect

4 weeks ago

Bangalore Metropolitan Area, India Impetus Full time

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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