Senior/Principal Engineer – OpenSearch

Skip To Job Description Thanks for visiting our Career Page. Please review our open positions and apply to the positions that match your qualifications. Senior/Principal Engineer – OpenSearch Fremont (Hybrid), CA Full Time Engineering Experienced Share About the Job: DTEX is seeking a highly skilled and experienced Senior Engineer – OpenSearch to join our engineering team. In this role, you will lead the development and optimization of large-scale OpenSearch clusters, contribute to our Insider Risk Management (IRM) and Data Loss Prevention (DLP) products, and actively engage with the open-source community. You’ll work closely with internal teams, clients, and global collaborators to drive innovation in search technologies.  Key Responsibilities Serve as a consultant, advisor, and mentor to internal and external search practitioners. Attend client and internal meetings to align technical solutions with business needs. 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. Rapidly iterate on solutions while maintaining high quality standards. Work effectively with a globally distributed team.  Qualifications: 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, encompassing index lifecycle management, sharding strategies, JVM heap size configuration, young generation parameters, garbage collection strategy optimization, comprehensive JVM memory oversight, and effective tuning of shard and replica allocation. Strong proficiency in Python and good understanding of JVM ecosystems. Solid understanding of algorithms, data structures, and software design principles. Experience building distributed, high-throughput, and concurrent applications. Hands on experience with major cloud platforms, preferably AWS. Skilled in debugging complex issues and engaging with upstream open-source communities.  Why Join Us? Impact at Scale – Build and lead DTEX’s first sales enablement function, shaping how we scale commercial excellence across the world. Thriving Company Culture – At DTEX, we foster a values-driven environment that prioritizes respect, inclusion, and collaboration. Growth & Development – We believe in lifelong learning and provide opportunities for continuous professional development. Flexibility – Work in a hybrid or remote environment that balances collaboration with autonomy. Comprehensive Benefits – Competitive compensation, equity participation, health and wellness benefits, and generous time-off policies.  About DTEX DTEX is the leader in risk-adaptive security, unifying human, data, and AI risk through a behavioral intelligence platform. Built for enterprise scale, DTEX detects threats early and prevents breaches before they impact the business.By analyzing how people, data, and AI systems interact, DTEX surfaces early indicators of risk that other tools miss and provides the context needed to act with precision. The platform brings together insider risk management, risk-adaptive data protection, user and entity behavior analytics, user activity monitoring, and AI risk management into a single, cohesive...