Senior Elasticsearch Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, architect, and enhance Elasticsearch clusters, indexes, mappings, and data models at scale.

• Create dashboards, scripted queries, alerting strategies, and analytics using Kibana.

• Lead the development and governance of ingestion and extraction workflows with Apache NiFi.

• Drive improvements to the Procurement Integrated Enterprise Environment (PIEE).

• Manage performance tuning, cluster health, resilience, and observability in distributed environments.

• Provide technical leadership within SAFe teams regarding system design, data patterns, and integration impacts.

• Implement enterprise-level data security, compliance, and migration best practices.

• Assess Elastic Stack capabilities and formulate multi-phase upgrade roadmaps with impact analysis.

• Collaborate with product owners, developers, and cross-functional teams to adopt platform capabilities.

• Mentor mid-level and junior engineers while establishing engineering standards.

• Create long-term technical roadmaps that align with mission requirements.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field; relevant experience may be considered in place of a degree.

• Eight or more years of progressive engineering experience.

• A minimum of two years of hands-on professional experience with Elasticsearch.

• Expert-level understanding of Elasticsearch internals, cluster tuning, scaling strategies, shard allocation, and snapshot management.

• Advanced expertise in Kibana analytics, scripted fields, pipeline aggregations, alerting, and observability.

• Strong skills in SQL and PL/SQL.

• Experience with Oracle or PostgreSQL databases.

• Familiarity with AWS services such as S3, RDS, and EKS, or equivalent cloud-based data platforms.

• Capability to lead technical initiatives and influence architectural decisions.

• Willingness and ability to obtain a DoD Secret Clearance.

• Experience with vector search engines, embeddings, similarity algorithms, and hybrid search methodologies.

• Knowledge of machine learning-driven observability, anomaly detection, log and metric correlation, and predictive alerting.

• Experience with relational database management systems, including Oracle, PostgreSQL, or SQL Server.

• Proficiency in Groovy, Python, or similar scripting languages.

• Understanding of containerized deployments and infrastructure as code principles.

• Experience in leading or mentoring technical teams.

• Possession of Elastic certifications such as Engineer, Analyst, or Observability.

• AWS certifications like Solutions Architect.

• Experience with DevOps pipelines, CI/CD, GitLab, or Jenkins.

• Background in machine learning or data science workflows.

• Strong communication skills with the ability to collaborate across diverse technical and functional teams.

• Proven success in supporting or leading initiatives in fast-paced, mission-driven environments.

• Minimum Secret clearance requirement to start is specified in the job details; qualifications indicate willingness and ability to obtain it.

• Up to 10% travel may be necessary.

• Type of travel: Continental US.

🏝️ Benefits

• Flexible time off benefit.

• Comprehensive learning resources.

• Healthcare benefits.

• Wellness benefits.

• Financial benefits.

• Retirement benefits.

• Family support benefits.

• Continuing education benefits.

• Time off benefits.

• Competitive compensation.

• Opportunities for learning and development.