Elastic SME
Indexed description
Duties To Include
- Define project goals and objectives, and review existing Splunk environments, identifying elements for migration. Analyze and document source types, sources, knowledge objects, dashboards, and searches for transition.
- Lead the design phase, determining migration criteria and architectural best practices. Outline data source requirements, working closely with security, network, and application teams to ensure integration.
- Deploy and configure Elastic Stack components, including Elasticsearch, Kibana, and machine learning nodes. Benchmark and tune the system for optimal performance, ensuring scalability and security.
- Set up data collection pipelines, configure data ingestion, and implement relevant beats and Elastic agents. Define and refine rules, alerts, and custom dashboards tailored to the organization’s security requirements.
- Oversee testing phases to validate Elastic SIEM functionality, ensuring it meets security visibility, threat detection, and compliance goals.
- Manage Elastic SIEM deployment into production, establish monitoring protocols, and perform regular updates. Continuously optimize system performance and address emerging security challenges.
- Provide hands-on training, documentation, and resources to staff on Elastic SIEM operations, alert management, and incident response.
- Clearance: Top Secret/SCI
- Education: Bachelor’s degree in computer science, Information Technology, Cybersecurity, or a related field.
- Advanced certifications in Elastic Stack or SIEM are preferred
- IAT III Baseline Certification (CISSP or equivalent) with appropriate work role certifications
- 15 years overall experience in information technology and cybersecurity
- 10-15 years in SIEM deployment, with specific expertise in Elastic Stack; prior experience with Splunk-to-Elastic migration is highly desirable.
- Expert knowledge in Elastic Stack (Elasticsearch, Kibana, Logstash, Beats).
- Strong knowledge of security information and event management (SIEM) systems, data pipelines, and threat detection methodologies.
- Hands-on experience configuring, tuning, and monitoring Elasticsearch clusters, along with custom alerting and dashboard creation.
- Proficiency in Elasticsearch, including data modeling, querying, and performance tuning.
- Experience with Logstash for data ingestion and transformation.
- Knowledge of Kibana for data visualization and dashboard creation.
- Familiarity with other related technologies such as Kafka, Hadoop, and Spark.
- Experience in designing and implementing scalable, distributed systems using the ELK stack.
- Skills in performance tuning and optimization of Elasticsearch clusters.
- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying and managing the ELK stack.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with DevOps practices and tools like Jenkins, Docker, and Kubernetes for continuous integration and deployment.
- Knowledge of securing Elasticsearch clusters and implementing best practices for data security.
- Strong analytical and problem-solving skills to troubleshoot and resolve issues.
- Excellent communication skills to collaborate with cross-functional teams and stakeholders.
- Ability to work effectively in a team environment and mentor junior team members.
- Physical: The candidate, with or without reasonable accommodation, must physically be able to sit or stand for extended periods of time; lift objects up to 20 pounds; require frequent physical hand dexterity and repetitive movements.
The company offers the following benefits to permanent, full-time employees:
- Paid Time Off (PTO)
- Group health plans
- Income protection and supplemental benefits
- 401(k) plan with company matching Health Savings Account (HSA)
- Flexible Spending Account (FSA)
- Pet insurance options
- Employee Assistance Program (EAP)
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search