بهسا (تابعه هلدینگ همراه اول)
بهسا (تابعه هلدینگ همراه اول)

Elastic Stack Engineer

Tehran/ Vanak
Full Time
Saturday to Wednesday from 7:30 AM to 4:30 PM with two hours of flexibility
-
Bonus -Health insurance -Flexible working hours -Purchasing coupon -Gym facilities -In-house Medical doctor -Occasional packages and gifts
501 - 1000 employees
Telecom
Iranian company dealing with Iranian and foreign customers
1396
Privately held
توضیحات بیشتر

key Requirements

5 years experience in similar position
Elastic Search - Advanced
language English-Intermediate

Job Description

About the Company:

Behpardaz Hamrah Samaneh Aval, a subsidiary of Hamrah Aval, is a leading company in the field of information technology and digital solutions. We are looking for motivated, creative, and skilled professionals to join our team and contribute to innovative and large‑scale projects.

Job Description:

As an Elastic Stack Engineer, you will be responsible for:

  •  Designing and deploying the ELK infrastructure
  •  Installing, configuring, and managing Elasticsearch, Logstash, Kibana, and Beats in Development, Staging, and Production environments
  •  Designing cluster architecture to ensure scalability, high availability (HA), and fault tolerance
  •  Building Logstash or Beats pipelines to collect logs from various sources (web servers, applications, databases, operating systems)
  •  Implementing filters, parsers, and Grok patterns to normalize and structure data
  •  Managing indices and index templates
  •  Implementing ILM (Index Lifecycle Management), snapshots, and backup strategies
  •  Optimizing Elasticsearch performance based on server resources and data volume
  • Creating analytical dashboards and visualizations in Kibana
  •  Defining alerts and monitors using Kibana Alerting or Elastalert
  •  Configuring SSL/TLS, users, roles, and permissions via X‑Pack Security
  •  Monitoring data security and preventing unauthorized access
  • Integrating ELK with monitoring tools such as Prometheus, Grafana, Zabbix, and SIEM platforms
  •  Working with message brokers such as Kafka or RabbitMQ for large‑scale data ingestion
  •  Monitoring cluster health, logs, and server resources
  •  Troubleshooting performance issues, pipeline failures, or data‑related problems


Qualifications:

  •  Strong proficiency with Elasticsearch, Logstash, Kibana, and Beats
  •  Familiarity with Linux, Docker/Kubernetes, and monitoring tools
  •  Strong analytical skills and ability to troubleshoot complex issues
  •  Attention to detail in configuration and data management
  •  Teamwork, responsibility, and proper documentation skills
  •  Interest in monitoring, observability, and automation


What We Offer:

  •  A dynamic and professional work environment
  •  Competitive salary and benefits
  • Flexible working hours
  •  Opportunities for learning, growth, and participation in major projects

Job Requirements

Gender
Men / Women
Military service
Military service must be done
Education
Bachelor| Computer and IT
Language
English| Intermediate - 50%
Software
Elastic Search| Advanced

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