Lead the development and optimization of large-scale OpenSearch clusters
Contribute to Insider Risk Management (IRM) and Data Loss Prevention (DLP) products
Serve as a consultant, advisor, and mentor to internal and external search practitioners
Actively contribute to the OpenSearch community and participate in public forums
Collaborate with cross-functional teams and open-source contributors to drive innovation
Design and implement new features, enhancements, and bug fixes for DTEX’s IRM and AI Risk Management products
Manage and fine-tune large-scale OpenSearch clusters with terabytes of data
Apply recommended development and operational expertise to cloud-hosted OpenSearch environments

Minimum 10 years of software engineering experience
Bachelor's degree in computer science or related field
Deep expertise in OpenSearch internals while handling terabytes of data across multiple nodes
Proficiency in data management: ingestion pipelines, field mappings, cluster integrity, and search/aggregation tuning
Proven experience migrating large-scale Elasticsearch 6.x clustered deployments to OpenSearch 2.x or above
Demonstrates a solid grasp of essential OpenSearch management practices
Strong proficiency in Python and good understanding of JVM ecosystems
Solid understanding of algorithms, data structures, and software design principles
Hands on experience with major cloud platforms, preferably AWS
Skilled in debugging complex issues and engaging with upstream open-source communities

Senior/Principal Engineer – OpenSearch

Key skills