Elasticsearch Engineer

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

📋 Description

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

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

• Support the development and governance of ingestion and extraction workflows utilizing Apache NiFi.

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

• Supervise performance tuning, cluster health, resilience, and observability across distributed environments.

• Provide technical direction 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 devise multi-phase upgrade roadmaps with impact analysis.

• Work collaboratively with product owners, developers, and cross-functional teams on platform capability adoption.

• Mentor junior engineers and establish engineering standards.

• Formulate long-term technical roadmaps aligned with mission needs.

⛳️ Requirements

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

• Six or more years of progressive engineering experience.

• At least two years of hands-on professional experience with Elasticsearch.

• Expertise in Elasticsearch internals, cluster tuning, scaling strategies, shard allocation, and snapshot management.

• Advanced knowledge of Kibana analytics, scripted fields, pipeline aggregations, alerting, and observability.

• Strong skills in SQL and PL/SQL.

• Experience with Oracle or PostgreSQL.

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

• Ability to lead technical initiatives and influence architectural direction.

• Willingness and capability 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.

• Experience in leading or mentoring technical teams.

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

• AWS certifications such as Solutions Architect.

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

• Background in machine learning or data science workflows.

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

• Proven track record of supporting or leading initiatives in fast-paced, mission-driven environments.

🏝️ Benefits

• Flexible time off benefit.

• Robust learning resources.

• Healthcare benefits.

• Wellness benefits.

• Financial benefits.

• Retirement benefits.

• Family support benefits.

• Continuing education benefits.

• Time off benefits.

• Competitive compensation.

• Learning and development opportunities.