Elastic Search

Overview:\nFastenal’s Enterprise Search & Analytics team in designing and evolving scalable, high-performance search solutions using Elasticsearch. You’ll drive architecture decisions, mentor engineers, and ensure delivery of impactful, secure, and compliant systems.\n\nKey Responsibilities :\nArchitect and evolve enterprise-wide search platforms.\nLead technical design, code reviews, and mentoring.\n\nCollaborate with business and product teams to deliver scalable solutions.\n\nEnsure compliance with PCI-DSS, GDPR, and internal security standards.\n\nDrive innovation in search relevance, performance, and analytics.\n\nRequired Qualifications:\nExpertise in specialized areas such as machine learning, natural language processing, text mining, search recommendation systems, computational linguistics.\n\nExperience building real-time data ingestion pipelines using big data / streaming technologies like Kafka, Spark, Hadoop etc.\n\nExperience with semantic search, and hybrid search architectures. Demonstrate strong understanding of bulk indexing, search, schema design, information retrieval and relevance tuning, human (natural) language parsing.\n\nFamiliarity with AI/ML models for search enhancement, including OpenAI and NLP-based ranking systems.\n\nPrior experience documenting APIs and building developer-friendly interfaces.\n\nUnderstanding of Agile SCRUM methodology, test-driven development, and CI/CD practices.\n\nKnowledge of SDLC, version control systems, and modern DevOps practices.\n\nExperience with the following technologies: Java, Spring Boot, Python, PySpark, Azure, Databricks, Terraform, Elasticsearch, OpenAI.