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Elk System Integrator

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Ericsson

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Location:
India , Bangalore

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are looking for Hands-on experience in designing and managing ELK stack solutions for log analytics, including Logstash pipeline development, Elasticsearch querying, and Kibana visualization. Proficient in Python for API integration, data processing, and automation, with strong knowledge of Python libraries, databases (MySQL/MariaDB), and Linux environments.

Job Responsibility:

  • Design, implement, and maintain ELK stack solutions for log management, Performance Management and analysis
  • Customize and optimize configurations for Elasticsearch, Logstash, and Kibana to meet specific project requirements
  • Develop Logstash configurations/pipelines to filter, ingest, transform, and enrich log data before indexing them into Elasticsearch
  • Understanding of log parsing techniques and data formats such as JSON, CSV, or XML
  • Familiarity with querying Elasticsearch using its query DSL
  • Creating and managing indices and mappings within Elasticsearch
  • Familiarity with log collection agents (e.g., File beat, Metric beat) and data shippers

Requirements:

  • Hands-on experience in designing and managing ELK stack solutions for log analytics, including Logstash pipeline development, Elasticsearch querying, and Kibana visualization
  • Proficient in Python for API integration, data processing, and automation, with strong knowledge of Python libraries, databases (MySQL/MariaDB), and Linux environments
  • Good troubleshooting skills to investigate and resolve issues related to data collection, indexing, and visualization
  • Python scripting to create utilities for APIs integration/ data processing /aggregation and automation
  • Good knowledge on Python libraries and ability to resolve library interdependencies
  • Ability to develop optimised code in large databases with multi thread implementation
  • In-depth understanding of the Python software development stacks, ecosystems, frameworks and tools such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, sci-kit-learn and PyTorch
  • Good Knowledge on database technologies such as MySQL & Maria DB
  • Linux OS knowledge and cronjob scheduling

Nice to have:

  • Perl/Shell Scripting
  • Familiarity with other monitoring and logging tools like Grafana, Prometheus etc
  • Good understanding of Containerized Architecture like Docker, Kubernetes, OpenShift etc
  • Knowledge on ITIL and experience with ITSM tools

Additional Information:

Job Posted:
May 05, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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