
Elastic Engineer
Posted Sep 3

Posted Sep 3
This is a fully remote position, open to applicants in Virginia.
• Architect, implement, and optimize Elastic Stack solutions in cloud, on-premises, and hybrid settings.
• Manage migrations from legacy security platforms, including translating detection from SPL to ES|QL and modernizing analyst workflows.
• Design and develop data ingestion pipelines utilizing Elastic Agent, Fleet, Logstash, and Beats.
• Strengthen deployments to ensure federal compliance, incorporating TLS, PIV/CAC, SSO/SAML, STIG, and audit logging.
• Create outcome-focused dashboards and sophisticated Kibana visualizations.
• Develop automation using Ansible, Terraform, or equivalent Infrastructure-as-Code tools.
• Articulate technical decisions and trade-offs directly to client stakeholders.
• Contribute to internal intellectual property such as reusable templates, automation scripts, and reference architectures.
• Support the implementation of Elastic-based solutions across cloud, on-premises, and hybrid infrastructures.
• Lead technical implementations and assist with migrations.
• Engage directly with client stakeholders.
• For Senior level, oversee engagements from initial scoping to delivery while fostering client relationships and identifying expansion opportunities.
• Familiarity with Elastic Stack capabilities and their applications in deployment, security, and operations.
• Knowledge of distributed cluster architecture at scale, including multi-tenant and CCS environments.
• Strong problem-solving abilities and a self-motivated approach.
• Excellent written and verbal communication skills.
• Basic understanding of Linux CLI and networking fundamentals.
• Willingness to learn about the Elastic Stack or familiarity with it.
• Capability to analyze intricate requirements and convert them into clear, actionable tasks and processes.
• U.S. citizenship is required.
• Must be eligible to obtain and maintain a security clearance.
• Minimum of 2 years of practical experience with the Elastic Stack for Journeyman Level and above.
• Experience with containerization and Infrastructure-as-Code tools.
• Proficiency with at least one leading cloud service provider.
• Knowledge of federal security controls such as TLS, SSO/SAML, PIV/CAC, and STIG.
• Strong client-facing communication skills.
• For Senior level, 6+ years in systems engineering or infrastructure with extensive Elastic expertise.
• Proven history of leading engagements from scoping through delivery for Senior level candidates.
• In-depth understanding of distributed cluster architecture at scale, including multi-tenant and CCS environments for Senior level candidates.
• Ability to cultivate client relationships and identify opportunities for expansion for Senior level candidates.
• Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, Engineering, or a related field is advantageous but not mandatory.
• Elastic certifications are beneficial.
• Experience with Elastic Security, including SIEM, detection engineering, threat hunting, and legacy migration is advantageous.
• Familiarity with detection translation, such as SPL to ES|QL, is beneficial.
• Proficiency in scripting with Python, Bash, or PowerShell is beneficial.
• Exposure to AI-augmented search, RAG, or semantic search use cases is beneficial.
• Previous experience in professional services or consulting is beneficial.
• 144 hours of Paid Time Off (PTO).
• 11 holidays observed.
• Coverage for 85% of insurance premiums.
• Healthcare benefits provided through major carriers.
• 401(k) plan available.
• Opportunities for continuing education.
• Support for certification maintenance and reimbursement.
• Career development opportunities.
• Opportunities for technical and professional growth.
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