Elastic Security Engineer
5 days ago
MindBridge Consulting is a leading consulting firm that specializes in driving impactful transformations and guiding businesses through today's dynamic and ever-changing landscape. With an unwavering dedication to excellence and innovation, we offer a diverse range of consulting services designed to empower organizations and unleash their full potential. Our team consists of seasoned professionals with extensive expertise across various industries and domains, allowing us to deliver customized solutions that address the unique needs and challenges of each client. From strategic consulting and digital transformation to change management and data analytics, we collaborate closely with organizations to achieve their strategic goals and foster sustainable growth.
Role Description
We are seeking an experienced Elastic Security Engineer to join our cybersecurity team. In this role, you will leverage Elastic’s Security solutions to design, implement, and maintain advanced security monitoring, threat detection, and incident response capabilities. The Elastic Security Engineer will work closely with security analysts, IT, and DevOps teams to develop and manage the Elastic Stack as a core component of our organization’s cybersecurity framework. This role requires expertise in Elastic’s SIEM capabilities, a deep understanding of security principles, and the ability to integrate Elastic Security with various systems and data sources for comprehensive threat detection and analysis.
Key Responsibilities:
1. Elastic Security Deployment & Management
- Design, deploy, and configure the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) for security monitoring and threat detection.
- Maintain, optimize, and scale Elastic deployments, ensuring high availability, performance, and scalability.
2. Security Monitoring & Threat Detection
- Develop, implement, and tune detection rules, alerts, and anomaly detection models to identify potential threats in real time.
- Create dashboards and visualizations in Kibana to enhance situational awareness and support proactive threat hunting.
3. Integration & Data Ingestion
- Integrate Elastic Security with various log sources, including firewalls, IDS/IPS, endpoint protection, and cloud environments.
- Work with Logstash and Beats agents to ingest security event data from multiple sources, maintaining data quality and integrity.
4. Incident Response Support
- Assist the security team in investigating and responding to security incidents by providing data and insights from Elastic Security.
- Conduct root-cause analysis and forensic investigations using Elastic’s capabilities to identify and mitigate risks.
5. Configuration & Rule Management
- Develop custom detection rules, queries, and dashboards tailored to the organization’s threat landscape.
- Continuously refine detection strategies based on threat intelligence, threat landscape changes, and feedback from security incidents.
6. Performance Tuning & Optimization
- Monitor and optimize the performance of the Elastic Stack, ensuring efficient use of resources and rapid query responses.
- Conduct regular maintenance, upgrades, and troubleshooting to maximize the effectiveness of Elastic Security.
7. Collaboration & Documentation
- Collaborate with cross-functional teams, including security, IT, and DevOps, to ensure integration with other tools and alignment with overall security objectives.
- Create and maintain documentation for the Elastic Security infrastructure, configurations, detection rules, and operational procedures.
8. Training & Knowledge Sharing
- Educate and train security analysts and other stakeholders on using Elastic Security for incident detection, analysis, and response.
- Stay up-to-date with new Elastic Security features, industry best practices, and emerging security threats.
Key Qualifications:
- Experience: 3+ years of experience in cybersecurity, with at least 2 years of experience working with the Elastic Stack, specifically Elastic Security (SIEM).
- Technical Skills: Strong proficiency in Elasticsearch, Kibana, Logstash, and Beats; experience configuring and tuning Elastic Security for threat detection and analysis.
- Security Knowledge : Understanding of cybersecurity frameworks (NIST, MITRE ATT&CK), SIEM principles, threat detection, and incident response.
- Data Management: Skilled in managing log ingestion, data parsing, filtering, and enrichment within the Elastic Stack.
- Scripting: Proficiency in scripting languages (e.g., Python, Bash) for data manipulation and automation.
- Analytical Skills: Strong analytical and problem-solving skills with the ability to analyze large volumes of data for insights and anomaly detection.
- Communication: Excellent verbal and written communication skills to document processes and collaborate across teams.
Preferred Qualifications:
- Elastic Certified Engineer or Elastic Certified Security Analyst certification.
- Experience in network security, endpoint protection, and log management.
- Hands-on experience with threat intelligence integration and the development of custom detection rules based on attack techniques.
- Familiarity with cloud environments and security monitoring in cloud-native applications (AWS, Azure, GCP).
This role is ideal for a cybersecurity professional looking to make an impact by advancing threat detection and security monitoring capabilities through the Elastic Stack. If you’re passionate about using Elastic Security to protect systems and data, we encourage you to apply.
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