Senior Elasticsearch Engineer

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $98.5k - $206.8k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 0%

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CACI International Inc

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1962

🎖️ Defense

🏛️ Government

🔒 Cybersecurity

🔥 Funding within the last year

💰 $500M Post-IPO Debt on 2026-02

Defense • Government • Cybersecurity

CACI International Inc is a U. S. -based government contractor that provides technologies and professional services to national security, defense, and federal civilian customers. CACI delivers solutions across cyber and digital operations, enterprise IT modernization, electronic warfare, counter-unmanned systems (C-UxS), space and optical communications, agile DevSecOps software development, and mission engineering and logistics support. The company positions itself as a large prime contractor that uses advanced software, analytics, sensing, and hardware to detect and counter evolving threats and modernize government technology architectures.

📋 Description

• Architect, design, and optimize Elasticsearch clusters, indexes, mappings, and data models at scale • Develop dashboards, scripted queries, alerting strategies, and analytics in Kibana • Lead 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 mid-level and junior engineers and establish engineering standards • Develop long-term technical roadmaps aligned with mission needs

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field; experience may be considered in lieu of degree • Eight 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, or Observability • 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 • Minimum Secret clearance requirement to start is stated in the job details; the qualifications state willingness and ability to obtain it • Up to 10% travel may be required • Type of travel: Continental US

🏖️ 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