4 дня назад
Senior Elastic Engineer (Elasticsearch)
138 600 - 183 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Elastic Engineer (Elasticsearch): Designing, operating, and optimizing enterprise-scale Elastic Stack search platforms for mission-critical cybersecurity applications with an accent on high availability, indexing strategies, query performance, and cluster security. Focus on building ingest pipelines and Kibana observability, automating infrastructure, tuning JVM and shard performance, and supporting disaster recovery and production incidents.
Location: Onsite in Chantilly, Virginia, United States
Salary: $138,600–$183,200 USD annually, plus bonus plans
Company
provides high-assurance cybersecurity and trusted connectivity for mission-critical environments, sensitive data, and AI-powered analytics.
What you will do
- Design, deploy, maintain, scale, and upgrade highly available Elasticsearch clusters.
- Develop indexing strategies, mappings, analyzers, tokenizers, and ingest pipelines for structured and unstructured data.
- Optimize query execution, relevance scoring, shard and replica management, JVM heap usage, and cluster performance.
- Configure and operate Elasticsearch, Kibana, Logstash, Beats, and Elastic Agent for logs, metrics, dashboards, and visualizations.
- Implement ILM, snapshots, backups, disaster recovery, RBAC, TLS, authentication, and Elastic Security controls.
- Automate deployments with Terraform, Ansible, Helm, or similar tools; integrate APIs with applications and support incidents through root cause analysis.
Requirements
- Active TS/SCI clearance with CI Polygraph is required.
- Bachelor’s degree in computer science, information systems, cybersecurity, or equivalent education and experience.
- At least one DoD-approved 8570 baseline certification at IAT Level II or higher for applicable DoD professional services roles.
- Deep experience with Elasticsearch architecture, cluster administration, indexing, query optimization, observability, and production troubleshooting.
- Ability to obtain the work authorizations required under U.S. ITAR or EAR regulations.
- Must have the right to work in the United States; certain roles may require U.S. Person status.
Nice to have
- Experience with dense vectors, embeddings, hybrid ranking, Elasticsearch Relevance Engine, or learning-to-rank systems.
- Experience with Elastic Cloud, ECE/ESS, Kubernetes operators, or AWS-managed deployments.
- Knowledge of cross-cluster replication, cross-cluster search, and custom Painless scripting.
Culture & Benefits
- Flexible paid time off.
- 401(k) matching.
- Healthcare contribution.
- Bonus plans and a benefits package for eligible employees.
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