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Ingeniería - Media - Telecomunicaciones
Elastic Engineer
Location
United States
Posted
143 days ago
Salary
0
Seniority
Senior
Job Description
Elastic Engineer
E4T SAC
• You are passionate about Cybersecurity and have experience building and deploying distributed ELK (Elasticsearch, Logstash, and Kibana) stacks. • You will help develop, enhance, design, deploy, and maintain our cyber programs, data analytics, threat hunting, and machine learning modules. • Be the primary subject matter expert for log ingestion/analysis. • Develop ELK stacks as infrastructure as code. • Implement Logstash configuration files, set up data pipelines for various log types such as Syslog. • Design, access, and maintain data stores, feeds, and associated tools based on ELK to fully integrate environments with multiple data sources including third-party applications. • Develop automation scripts to identify anomalies and visualize them in Kibana. • Identify, design, and implement improvements such as automating manual processes, optimize delivery of data, and re-design infrastructure as required. • Assist in the development of network intrusion analytics as part of a larger team. • Configure and maintain Linux-based OS in support of ELK stack. • Document the installation and configuration for production deployments.
Job Requirements
- Certified Elastic Engineer
- Ability to configure, maintain, and troubleshoot multiple Elastic environments at on-premises and Elastic-Cloud.
- Experience with Elastic Stack architecture, design, and deployment.
- Deep understanding of Elasticsearch internals, including indexing, search, and data aggregation.
- Skills in managing enterprise level Elasticsearch clusters, handling cluster health, performance tuning, scaling, and ensuring high availability.
- Proficiency in Elasticsearch Query DSL for complex queries, aggregations, and data analytics.
- Proficiency in programming languages such as Java, Python, or Ruby.
- Knowledge of scripting languages for automation is also beneficial.
- Proven track record working in cybersecurity, understanding common attack vectors, threat landscapes, and defensive technologies.
- Proficiency in implementing security measures within Elasticsearch, such as role-based access control, encryption, index security, and audit logging.
- Skills in managing and analyzing logs and security events from various sources (firewalls, IDS/IPS systems, network devices, operating systems) using the ELK stack.
- Advanced ability to craft complex queries, alerts, and visualizations tailored for cybersecurity needs, such as detecting anomalies and potential threats.
- Proficiency in data parsing using GROK/DISSECT, ingestion, and ETL workflows.
- Expertise in developing complex Elasticsearch Watchers.
- Experience in Elastic Security, Detection Rules, Machine Learning and AI Assistant.
- Proficiency in developing Elasticsearch solutions to specific security needs, such as custom dashboards and reports for ongoing monitoring.
Benefits
- N/A
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