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. If you are ready to apply deep Elasticsearch expertise to mission-driven work, we encourage you to apply.

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.

The proposed salary range for this position is:

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.