What are the responsibilities and job description for the Senior Elasticsearch Engineer position at SwarmInt LLC?
About Us:
SwarmInt is a defense AI startup developing cutting-edge computer vision and edge AI capabilities for military expeditionary forces. We strive to develop operator-in-the-loop solutions for warfighters with active contracts supporting the Department of Defense and Intelligence Community.
Job Description:
We're seeking a Senior Elasticsearch Engineer to architect and optimize search infrastructure for a large-scale enterprise data solution supporting our Intelligence Community customer. You'll design systems that enable real-time search and retrieval across petabytes of data to support operational intelligence analysis and decision-making. This role requires regular on-site work at customer facilities in Bethesda, Maryland, including work in classified facilities (SCIF).
Responsibilities:
LEp2gn9Qc7
SwarmInt is a defense AI startup developing cutting-edge computer vision and edge AI capabilities for military expeditionary forces. We strive to develop operator-in-the-loop solutions for warfighters with active contracts supporting the Department of Defense and Intelligence Community.
Job Description:
We're seeking a Senior Elasticsearch Engineer to architect and optimize search infrastructure for a large-scale enterprise data solution supporting our Intelligence Community customer. You'll design systems that enable real-time search and retrieval across petabytes of data to support operational intelligence analysis and decision-making. This role requires regular on-site work at customer facilities in Bethesda, Maryland, including work in classified facilities (SCIF).
Responsibilities:
- Design and implement high-performance search infrastructure for large-scale data ingestion and retrieval
- Architect indexing strategies for diverse data types including time-series, geospatial, and vector embeddings
- Build and optimize real-time data pipelines for continuous index population
- Performance tune queries and clusters for sub-second response times on massive datasets
- Integrate search capabilities with AI/ML pipelines and analytics platforms
- Design data retention, archival, and lifecycle management strategies
- Deploy and manage search infrastructure in containerized environments and on-premises deployments
- Work in restricted and air-gapped network environments
- Mentor engineers on search architecture and optimization techniques
- Collaborate across teams on data architecture and integration patterns
- Bachelor's degree in Computer Science, Engineering, or related field
- 8-12 years experience with Elasticsearch in production environments
- Deep understanding of search engine internals, indexing, and query optimization
- Experience designing and scaling distributed search clusters
- Strong programming and scripting skills for automation and tooling
- Experience building data ingestion pipelines
- Proficiency with cluster monitoring and performance analysis
- Understanding of distributed systems and data replication
- Active TS/SCI with Single Scope (CI) Polygraph required
- U.S. Citizenship required
- Ability to work on-site in Bethesda, Maryland 2-4 days/week including at classified facilities
- Experience with vector search and similarity queries
- Knowledge of OpenSearch or experience with multiple search platforms
- Familiarity with AI/ML workflows and embedding-based search
- Experience with streaming data platforms and message queues
- Knowledge of data lakehouse architectures and technologies
- Experience with complementary data stores and caching systems
- Understanding of workflow orchestration tools
- Experience with containerization technologies (Docker)
- Knowledge of government data systems and security requirements (NIST 800-171, CMMC)
- Experience in air-gapped or restricted environments
- Experience with enterprise-scale data solutions at petabyte scale
- Competitive salary (~$200K based on experience)
- Annual performance bonus
- 401k with competitive company match
- Comprehensive health, dental, and vision insurance
- Clearance retention bonuses
- Work on high-impact search problems at petabyte scale
- Professional development budget
- Collaborative startup environment with experienced technical leadership
- Direct impact on intelligence capabilities for national security
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Salary : $200,000