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Elasticsearch Engineer
CACI International Inc. Design and optimize Elasticsearch clusters, indexes, mappings, and data models at scale .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Elasticsearch cluster design, optimization, and analytics, with a strong focus on data security and compliance. Proven ability to lead technical initiatives, mentor teams, and develop strategic roadmaps in fast-paced environments.
Highest-signal resume keywords
Elasticsearch InternalsKibana AnalyticsSQL and PL/SQL SkillsAWS ServicesTechnical Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ElasticsearchKibanaSQLPL/SQLGroovyPythonDevOps PipelinesContainerized DeploymentsData SecurityMachine Learning
Soft Skills
Strong CommunicationMentoring
Tools & Technologies
Apache NiFiAWS S3AWS RDSAWS EKSGitLabJenkins
Certifications & Qualifications
Elastic EngineerElastic AnalystElastic ObservabilityAWS Solutions Architect
Industry Keywords
Data ModelsPerformance TuningObservabilityHybrid SearchAnomaly Detection
Tech Stack
Tools & technologiesApacheAWSCloudElasticSearchGroovyJenkinsOraclePostgresPythonSQL
About the role
Key responsibilities & impact- Design and optimize Elasticsearch clusters, indexes, mappings, and data models at scale
- Develop dashboards, scripted queries, alerting strategies, and analytics in Kibana
- Assist in leading development and governance of ingestion and extraction workflows using Apache NiFi
- Drive enhancements to the Procurement Integrated Enterprise Environment (PIEE)
- Oversee performance tuning, cluster health, resilience, and observability across distributed environments
- Provide technical leadership within SAFe teams on system design, data patterns, and integration impacts
- Apply enterprise-level data security, compliance, and migration best practices
- Evaluate Elastic Stack capabilities and develop multi-phase upgrade roadmaps with impact analysis
- Collaborate with product owners, developers, and cross-functional teams on platform capability adoption
- Mentor junior engineers and establish engineering standards
- Develop long-term technical roadmaps aligned with mission needs
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Engineering, or a related field; experience will be considered in lieu of degree
- Six or more years of progressive engineering experience
- Two or more years of hands-on professional Elasticsearch experience
- Expert-level proficiency in Elasticsearch internals, cluster tuning, scaling strategies, shard allocation, and snapshot management
- Advanced experience with Kibana analytics, scripted fields, pipeline aggregations, alerting, and observability
- Strong SQL and PL/SQL skills
- Experience with Oracle or PostgreSQL
- Experience with AWS services such as S3, RDS, and EKS, or equivalent cloud-based data platforms
- Ability to lead technical initiatives and influence architectural direction
- Willing and able to obtain a DoD Secret Clearance
- Experience with vector search engines, embeddings, similarity algorithms, and hybrid search approaches
- Familiarity with 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 leading or mentoring technical teams
- 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 ability to work across diverse technical and functional teams
- Proven success supporting or leading efforts in fast-paced, mission-driven environments
Benefits
Comp & perks- 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