Senior Elastic Engineer

Role & responsibilities

• Design, deploy, configure, and maintain the Elastic Stack, including Elasticsearch, Logstash, Kibana, Beats, Elastic Agent, and Fleet.
• Build, develop, and optimize log ingestion pipelines from multiple applications, infrastructure, cloud, and security data sources.
• Develop and maintain Logstash pipelines, ingest pipelines, and data parsing rules using Grok, Dissect, and Mutate filters.
• Design Elasticsearch index mappings, templates, analyzers, and ingest pipelines to optimize indexing and search performance.
• Develop and maintain Kibana dashboards, visualizations, Lens reports, and alerts to support monitoring and business requirements.
• Administer Elasticsearch clusters to ensure high availability, scalability, performance, and reliability.
• Configure and manage Index Lifecycle Management (ILM), snapshots, backup, restore, and disaster recovery processes.
• Monitor cluster health, troubleshoot indexing and search performance issues, and perform capacity planning.
• Integrate applications with Elasticsearch using REST APIs and automate data ingestion processes.
• Implement monitoring, alerting, and anomaly detection using Elastic Observability, Watcher, and Kibana Alerting.
• Configure security features including Role-Based Access Control (RBAC), TLS/SSL, authentication, and authorization.
• Automate deployments and platform administration using scripting languages and Infrastructure as Code
• Perform Elastic Stack upgrades, patching, and routine maintenance activities.
• Collaborate with DevOps, Infrastructure, Security, and Application teams to onboard new data sources and resolve platform issues.
• Create and maintain technical documentation, SOPs, knowledge articles, and operational runbooks.
• Provide L2/L3 production support and participate in on-call rotations to ensure platform availability and SLA compliance.

Preferred candidate profile

• Hands-on experience (5 to 8 years) with Elasticsearch, Kibana, Logstash, Beats, Elastic Agent, and Fleet.
• Strong understanding of Elasticsearch architecture, indexing, mappings, shards, replicas, cluster management, and query optimization.
• Experience with Kibana Query Language (KQL) and Elasticsearch Query DSL.
• Experience developing Logstash pipelines using Grok, Dissect, Mutate, and other filter plugins.
• Strong understanding of Elasticsearch mappings, analyzers, index templates, and ingest pipelines.
• Experience developing Kibana dashboards, Lens visualizations, Canvas, and custom reporting solutions.
• Experience with Elasticsearch REST APIs, JSON, and scripting using Python or Bash.
• Knowledge of Elastic Observability, Watcher, Kibana Alerting, and SIEM concepts.
• Experience with Docker, Kubernetes, and Elastic Cloud is preferred.
• Experience with Infrastructure as Code tools such as Terraform or Ansible.
• Familiarity with Git, CI/CD pipelines, and DevOps practices.
• Strong troubleshooting, analytical, and performance tuning skills.
• Excellent communication and stakeholder management skills.

Educational/Professional Qualification Required

• Bachelors degree in computer science, Information Technology, Engineering, or equivalent.
• Elastic Certified Engineer (Preferred)

Soft Skills/Competencies

• Strong analytical and problem-solving skills.
• Excellent verbal and written communication.
• Customer and stakeholder management.
• Ability to prioritize multiple tasks.
• Team collaboration and knowledge sharing.
• Adaptability and continuous learning.

Immediate joiners only.

Please share your resume along with below details on [email removed]

Current CTC-

Current location-

Notice period -

Expected CTC-

Available for face to face interview-

Comfortable with 24*7 Shift-

Comfortable with work from office 5 days a week-

Regards,

Wamiq