Senior Elasticsearch Engineer

CACI International

United States

Remote

USD 99,000 - 207,000

Full time

4 days ago
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Job summary

CACI International seeks a Senior Elasticsearch Engineer to lead advanced search, analytics, and data engineering for mission-critical systems. You will guide architectural decisions, optimize Elasticsearch clusters, and oversee large-scale data workflows in a DoD‑scale environment.

You will mentor engineers, collaborate with cross‑functional teams, and shape multi‑phase upgrade roadmaps while ensuring security and compliance in complex government settings.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field; experience may substitute.
  • Eight+ years of progressive engineering experience including 2+ years hands‑on Elasticsearch work.
  • Expertise in Elasticsearch internals, cluster tuning, scaling, and snapshot management.
  • Advanced Kibana analytics, scripted fields, pipeline aggregations, alerting, observability.
  • Strong SQL/PLSQL plus experience with Oracle or PostgreSQL.
  • Experience with AWS S3, RDS, EKS or equivalent cloud platforms.
  • Ability to lead technical initiatives and influence architectural direction.
  • Willing to obtain a DoD Secret Clearance.

Responsibilities

  • Architect, design, and optimize Elasticsearch clusters, indexes, mappings, and data models at scale.
  • Develop dashboards, scripted queries, alerting strategies, and analytics in Kibana.
  • Lead ingestion/extraction workflows using Apache NiFi.
  • Drive enhancements to the PIEE system.
  • Oversee performance tuning, health, resilience, and observability across environments.
  • Provide technical leadership within SAFe teams and advise on design and data patterns.
  • Apply data security, compliance, and migration best practices.
  • Develop upgrade roadmaps and assess API/integration impacts.
  • Collaborate with product owners, developers, and cross‑functional teams for safe adoption of new platform capabilities.
  • Mentor mid-level and junior engineers; establish engineering standards.
  • Develop long-term technical roadmaps aligned with mission needs.

Skills

Elasticsearch internals
Kibana analytics
SQL/PLSQL
AWS cloud
Technical leadership

Education

Bachelor's degree in CS/Engineering

Tools

AWS (S3/RDS/EKS)
Oracle/PostgreSQL
Apache NiFi
Kibana
SAFe
CI/CD (Jenkins/GitLab)

Job description

Job Title: Senior Elasticsearch Engineer

Job Category: Engineering

Time Type: Full time

Minimum Clearance Required to Start: Secret

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Continental US

The Opportunity

CACI is seeking a Senior Elasticsearch Engineer to lead advanced search, analytics, and data engineering initiatives supporting mission-critical acquisition and contract lifecycle management systems. In this role, you will serve as a technical authority on the Elastic Stack, drive architectural decisions, and oversee modernization roadmaps that impact large-scale government environments.

You are an experienced engineer who can guide teams, influence strategy, and deliver robust, scalable solutions across highly complex data ecosystems.

Responsibilities
  • Architect, design, and optimize Elasticsearch clusters, indexes, mappings, and data models at scale.
  • Develop advanced dashboards, scripted queries, alerting strategies, and analytics in Kibana.
  • Lead the 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, advising on system design, data patterns, and integration impacts.
  • Apply enterprise-level data security, compliance, and migration best practices.
  • Maintain deep awareness of the latest Elastic Stack capabilities, evaluate new features, and develop multi-phase upgrade roadmaps, including impact analysis for application code, APIs, integrations, and external dependencies.
  • Collaborate with product owners, developers, and cross-functional teams to ensure safe, coordinated adoption of new platform capabilities.
  • Mentor mid-level and junior engineers while establishing best practices and engineering standards.
  • Develop long-term technical roadmaps aligned with evolving mission needs.
Qualifications
Required
  • Bachelor’s degree in Computer Science, Engineering, or a related field. Will consider experience in lieu of degree.
  • Eight or more years of progressive engineering experience, to include 2 or more years of hands‑on professional Elasticsearch work.
  • 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 as well as experience with Oracle or PostgreSQL.
  • Experience with AWS services such as S3, RDS, and EKS, or equivalent cloud‑based data platforms.
  • Demonstrated ability to lead technical initiatives and influence architectural direction.
  • Willing and able to obtain a DoD Secret Clearance
Desired
  • Experience with vector search engines, embeddings, similarity algorithms, and hybrid search approaches.
  • Familiarity with machine learning‑driven observability, including anomaly detection, log and metric correlation, and predictive alerting.
  • Experience with relational database management system platforms, including Oracle, PostgreSQL, or SQL Server.
  • Proficiency in Groovy, Python, or similar scripting languages for automation and pipeline orchestration.
  • 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 etc
  • Experience with DevOps pipelines, CI/CD, GitLab, or Jenkins.
  • Background in machine learning or data science workflows.
  • Strong communication skills and the ability to work across diverse technical and functional teams.
  • Proven success supporting or leading efforts in fast‑paced, mission‑driven environments.
What You Can Expect
A culture of integrity

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high‑performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

Pay Range

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

Since this position can be worked in more than one location, the range shown is the national average for the position.

$98,500-$206,800

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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