Software Engineer, Elasticsearch

• Design, develop, and maintain enterprise search solutions using Elasticsearch or Apache Solr
• Design and implement search schemas, indexing strategies, and search optimization techniques
• Develop and optimize Lucene-based search queries to improve search accuracy and performance
• Configure, administer, and optimize Elasticsearch or Solr clusters, including shard design, replication, and performance tuning
• Develop scalable backend services using Java to support enterprise search and data processing applications
• Build, test, and deploy production-ready Java code following secure software development best practices
• Participate in code reviews, unit testing, integration testing, and production deployments
• Develop and maintain data processing pipelines using big data technologies
• Work with distributed computing frameworks to process and analyze large-scale datasets
• Troubleshoot application, search platform, and data pipeline performance issues
• Collaborate with software engineers, data engineers, and system architects to design scalable search and analytics solutions
• Participate in Agile development activities including sprint planning, code reviews, and technical design sessions

The ideal candidate has deep expertise in Elasticsearch or Apache Solr, strong backend Java development experience, and hands-on experience working with distributed data processing frameworks in large-scale data environments., * Must be fully cleared with a recent polygraph

• Bachelor’s degree in Computer Science or a related technical discipline (or equivalent experience)
• Minimum of 5 years of hands-on backend Java development experience
• Experience developing production software that undergoes code reviews, unit testing, integration testing, and production deployment
• Minimum of 3 years of experience administering and developing solutions with Elasticsearch or Apache Solr
• Experience performing schema design and schema updates
• Strong knowledge of Lucene query syntax and search optimization techniques
• Experience designing and managing Elasticsearch or Solr shards and distributed search architectures
• Experience tuning Elasticsearch or Solr clusters for performance, scalability, and query optimization
• Minimum of 3 years of experience working in big data environments
• Experience with at least two of the following technologies:
• Hadoop
• Apache Spark
• PySpark
• HBase
• Strong understanding of distributed computing, search architectures, and large-scale data processing
• Excellent troubleshooting, analytical, and problem-solving skills
• Strong written and verbal communication skills

Desired Qualifications

• Experience developing large-scale enterprise search platforms
• Experience supporting distributed, high-availability search environments
• Experience with CI/CD pipelines and DevOps practices
• Experience with cloud-based search architectures
• Familiarity with containerization technologies such as Docker and Kubernetes
• Experience supporting secure government or Intelligence Community environments