ELK Stack developer

2 weeks ago

Hyderabad, India Prudent Technologies and Consulting, Inc. Full time

ELK Stack developer

(Elasticsearch, Logstash, and Kibana)

Willing to join on short notice.

Work Location – Hyderabad

Work from Office Must


Job Responsibilities

  • Design, develop, and deploy highly scalable ELK stack solutions
  • Install, configure, and tune the ELK stack cluster in an enterprise environment
  • Contribute to high-level and low-level integration designs, configurations, and best practices
  • Perform end-to-end low level design, development, administration and delivery of ELK/Java solutions
  • Participate in the deployment approach and configuration of the ELK platform
  • Take ownership of creating, designing and/or implementing Kibana dashboards
  • Collaborate with technical teams on operational concerns of integration solutions on ELK platform

Minimum requirements

Key Responsibilities

  • Solution Design & Implementation: Architect, deploy, and configure Elasticsearch clusters, Logstash pipelines, and Kibana dashboards to meet client requirements.
  • Data Ingestion & Transformation: Design and implement ETL processes using Logstash, Beats, or custom scripts to handle diverse data sources.
  • Dashboarding & Visualization: Create and optimize Kibana visualizations and dashboards to provide actionable insights from data.
  • Performance Optimization: Analyze and fine-tune Elasticsearch clusters for scalability, high availability, and optimal performance.
  • Monitoring & Troubleshooting: Set up monitoring tools, resolve technical issues, and ensure system reliability and security.
  • Documentation: Develop comprehensive documentation for implemented solutions and provide technical guidance to teams.
  • Collaboration: Work closely with developers, analysts, and stakeholders to integrate ELK solutions into broader systems and workflows.
  • Required Skills & Qualifications
  • Proven experience with the Elastic Stack (Elasticsearch, Logstash, Kibana).
  • Proficiency in query languages such as Elasticsearch Query DSL and SQL.
  • Strong understanding of data structures, indexing, and search algorithms.
  • Experience with Beats (Filebeat, Metricbeat, etc.) and custom data pipelines.
  • Familiarity with scripting languages (e.g., Python, Shell) and integration tools.
  • Knowledge of system monitoring and alerting tools.
  • Fluency in English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred Skills

  • Experience with cloud platforms (AWS, Azure, GCP) and managed Elastic solutions.
  • Knowledge of containerization and orchestration tools like Docker and Kubernetes.
  • Understanding of security and access control in Elasticsearch.
  • Certification in Elastic Stack technologies is a plus.
  • Excellent troubleshooting and problem-solving skills.
  • Strong communication and teamwork abilities.

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