Leidos is seeking for a dynamic Apache Solr Search Lead, who can install, administer and maintain existing enterprise search in AWS environment with multiple complex datasets consisting of structured, unstructured and semi-structured data that has multiple 99% and above performance SLA. Successful candidate will design and develop multi-stage complex data ingestion pipelines, deploy, operate in Apache Solr search platform in a cloud environment, performance tuning and optimizing, log analysis, issue resolution and continuous improvement activity. The candidate should possess latest Solr 8.11 skills including but not limited to graph query, streaming expressions, and near real-time indexing. The candidate should have dealt with a large multi-node Solr Cloud with terra bytes of data and millions of documents. The candidate should have strong experience in handling data with XML, JSON, with Java, Python or .Net languages. Experience in integrating other open-source tools such as Apache software ecosystem (Flume, Spark, Kafka, Nutch, Tika, etc.,), AWS services such as Data Lake, S3, Glue, lambda, and other third-party software. Experience in Elastic Search, Machine Learning skills is a plus. Should have experience in DevOps, CI/CD pipeline, tools, programming & scripting experience in Linux & Windows platform. Should possess testing skills of complex applications, automation of processes, and agile development, releases using sprint cycles. The candidate able to adopt to client needs, must be able to work independently and with other teams, guide them, must possess strong written & oral communication skills and collaboration skills.
Other Preferred Skills
Pay Range $94,250.00 – $145,000.00 – $195,750.00