Senior Elastic Engineer (TS/SCI w/CI Poly Required)
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Before you apply
Salary$139k – $183k
LocationUSA_VA_Onsite
Also inChantilly, VA
Work modeon-site
Typefull-time
SenioritySenior
Company size501–1,000 people
PostedAug 5, 2026 · 3mo ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
TS/SCI with CI Polygraph
Bachelor's degree in computer science, Information Systems, Cyber Security, or equivalent education and work experience
At least one DoD Approved 8570 Baseline Certification at IAT level II or higher
Deep expertise in Elasticsearch architecture, indexing strategies, query optimization, cluster administration, and observability solutions
Experience designing, implementing, and maintaining highly available Elasticsearch clusters
Experience developing efficient indexing strategies for structured and unstructured data
Experience optimizing search performance, relevance scoring, and query execution
Experience monitoring cluster health and troubleshooting performance bottlenecks
Experience configuring and maintaining Elastic Stack components (Elasticsearch, Kibana, Logstash, Beats, Elastic Agent)
Experience implementing Index Lifecycle Management, snapshots, backups, and disaster recovery strategies
Experience designing mappings, analyzers, tokenizers, and ingest pipelines
Experience building dashboards and visualizations using Kibana
Experience integrating Elasticsearch APIs into applications
Experience performing cluster upgrades, scaling, and capacity planning
Experience implementing security using Elastic Security, RBAC, TLS, and authentication mechanisms
Experience automating deployments using Infrastructure as Code (Terraform, Ansible, Helm, or similar)
Experience supporting production incidents and performing root cause analysis
Experience with cluster deployment (installing, configuring, and scaling Elasticsearch nodes and indices)
Experience with log and metric monitoring (integrating database audit logs, alert logs, and OS metrics into ELK Stack)
Experience with search optimization (mapping definitions, query optimization, shard/replica management for fast text-based analytics)
Experience with troubleshooting (monitoring cluster health, JVM heap tuning, resolving node dropouts or lag issues)
Experience with vector and semantic search (dense vector fields, embeddings, hybrid ranking using Reciprocal Rank Fusion, and Elasticsearch Relevance Engine)
Experience with machine learning integration (Learning to Rank, integrating third-party transformer models)
Experience with cloud and orchestration (Elastic Cloud, Kubernetes operators, or AWS-managed deployments)
Experience with advanced operations (Cross-Cluster Replication, cross-cluster search, custom Painless scripting for complex data streams)
Ability to obtain required work authorization under U.S. ITAR or EAR regulations
Skills
Elasticsearch
Kibana
Logstash
Beats
Elastic Agent
Terraform
Ansible
Helm
Dense vector fields
Embeddings
Reciprocal Rank Fusion
Elasticsearch Relevance Engine
Learning to Rank
Transformer models
Elastic Cloud
Kubernetes
AWS
Cross-Cluster Replication
Cross-cluster search
Painless scripting
Benefits
Flexible PTO
401(k)
Health insurance
Trusted Connectivity for AI-Powered Dominance.
Everfox delivers trusted connectivity to protect the world’s most critical environments and safeguard the sensitive data powering decision advantage.
Built for mission-critical operations, Everfox protects what matters most by securing how data moves, how users access it, and how threats are neutralized across every domain. We enable mission speed and secure collaboration across networks, domains, and allies, while ensuring the data powering AI and advanced analytics remains trusted and protected.
We don’t just defend systems; we deliver decision dominance.
•
Our Purpose. Protect what matters most by enabling organizations to operate security in the most complex and high-risk digital environments.
•
Our Vision. To be the most trusted authority in high-assurance cybersecurity, enabling secure collaboration across every domain.
•
Our Belief. Security should never limit mission success – it should enable it.
Our Promise. We deliver absolute confidence in environments where failure is not an option.
About the role
Job Title: Senior Elasticsearch Engineer
About the Role
We are seeking an experienced Senior Elasticsearch Engineer to design, develop, optimize, and maintain enterprise-scale search platforms powered by the Elastic Stack. The ideal candidate will have deep expertise in Elasticsearch architecture, indexing strategies, query optimization, cluster administration, and observability solutions. You will collaborate with software engineers, data engineers, and DevOps teams to build highly available, scalable search solutions that support mission-critical applications.
Location:
Chantilly, VA
Key Responsibilities:
•
Design, implement, and maintain highly available Elasticsearch clusters.
•
Develop efficient indexing strategies for structured and unstructured data.
•
Optimize search performance, relevance scoring, and query execution.
•
Monitor cluster health and troubleshoot performance bottlenecks.
•
Configure and maintain Elastic Stack components including:
•
Elasticsearch
•
Kibana
•
Logstash
•
Beats
•
Elastic Agent
•
Implement Index Lifecycle Management (ILM), snapshots, backups, and disaster recovery strategies.
•
Design mappings, analyzers, tokenizers, and ingest pipelines.
•
Build dashboards and visualizations using Kibana.
•
Work with development teams to integrate Elasticsearch APIs into applications.
•
Perform cluster upgrades, scaling, and capacity planning.
•
Implement security using Elastic Security, RBAC, TLS, and authentication mechanisms.
•
Automate deployments using Infrastructure as Code (Terraform, Ansible, Helm, or similar).
•
Support production incidents and perform root cause analysis
•
Cluster Deployment: Installing, configuring, and scaling Elasticsearch nodes and indices.
•
Log & Metric Monitoring: Integrating database audit logs, alert logs, and OS metrics into the ELK Stack (Elasticsearch, Logstash, Kibana).
•
Search Optimization: Mapping definitions, query optimization, and shard/replica management for fast text-based analytics.
•
Troubleshooting: Monitoring cluster health, JVM heap tuning, and resolving node dropouts or lag issues
Things nice to have:
•
Vector & Semantic Search: Experience with dense vector fields, embeddings, and hybrid ranking (Reciprocal Rank Fusion) using the Elasticsearch Relevance Engine.
•
Machine Learning Integration: Familiarity with Learning to Rank (LTR), integrating third-party transformer models
•
Cloud & Orchestration: Hands-on practice with Elastic Cloud (ECE/ESS), Kubernetes operators, or AWS-managed deployments
•
Advanced Operations: Skills in Cross-Cluster Replication (CCR), cross-cluster search, and custom Painless scripting for complex data streams
Key Education Requirements:
• An active (currently in use) – TS/SCI with CI Polygraph
• A bachelor’s degree in computer science, Information Systems, Cyber Security, or equivalent education and work experience.
• At least one DoD Approved 8570 Baseline Certification at IAT level II (2) or higher.
(These are required only for DoD professional services roles.)
• The ability to obtain the appropriate work authorizations required under U.S. ITAR or EAR regulations from the applicable U.S. government agency.
Benefits
A reasonable estimate of the base salary range for this role is:
$138,600.00-183,200.00 USD
The actual salary offered may vary within the range based on a candidates’ unique experience, locale, and business needs. In addition to a base salary and bonus plans, Everfox offers a generous benefits package including flexible PTO, a 401k match, and contribution to healthcare coverages. Our Talent Acquisition team will provide specific information regarding bonus eligibility and benefits offerings.
Legal
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Don’t meet every single qualification? Studies show people are hesitant to apply if they don’t meet all requirements listed in a job posting. If there is something slightly different about your previous experience, but it otherwise aligns and you’re excited about this role, we encourage you to apply. You could be a great candidate for this or other roles on our team.
Everfox is an equal employment opportunity employer and complies with all applicable federal, state, and local laws prohibiting discrimination. Everfox does not discriminate against any employee or applicant based on race, color, religion, sex, age, national origin, disability, veteran status, marital status, medical condition, or any other category protected by applicable law. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by sending an email to [email protected].
Everfox is a Federal Contractor. Certain positions with Everfox require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be “U.S. Persons,” as defined in these regulations. Generally, a “U.S. Person” is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.
Applicants must have the right to work in the location to which you have applied.