Senior/Principal Engineer - OpenSearch

This position is posted by Jobgether on behalf of DTEX Systems. We are currently looking for a Senior/Principal Engineer – OpenSearch in California (USA). This role offers the opportunity to lead the development and optimization of large-scale OpenSearch clusters, directly impacting the performance and scalability of high-value applications. You will work on cutting-edge Insider Risk Management (IRM) and Data Loss Prevention (DLP) products, contributing both to internal solutions and the broader open-source community. The position combines hands-on engineering with strategic collaboration, enabling you to solve complex technical challenges while mentoring colleagues. You will engage with global teams and clients, designing robust, high-throughput systems and ensuring operational excellence in cloud-hosted environments. This role is ideal for engineers passionate about distributed systems, search technologies, and making a tangible impact on enterprise cybersecurity. Accountabilities: · Lead the design, implementation, and optimization of large-scale OpenSearch clusters handling terabytes of data. · Develop and enhance IRM and DLP products through feature development, bug fixes, and performance tuning. · Serve as a technical consultant and mentor to internal teams, clients, and external practitioners. · Actively contribute to the OpenSearch community and participate in public forums to advance best practices. · Collaborate with cross-functional teams, including open-source contributors, to drive innovation. · Apply expertise to cloud-hosted OpenSearch deployments, ensuring stability, scalability, and operational excellence. · Rapidly iterate on solutions while maintaining high-quality standards and efficient workflows. Requirements · Minimum 10 years of software engineering experience. · Bachelor’s degree in Computer Science or a related field. · Deep expertise in OpenSearch internals, managing multi-node clusters and terabytes of data. · Proficiency in data management: ingestion pipelines, field mappings, cluster integrity, and search/aggregation tuning. · Experience migrating large-scale Elasticsearch 6.x deployments to OpenSearch 2.x or higher. · Strong knowledge of OpenSearch management: index lifecycle management, sharding strategies, JVM configuration, and shard/replica tuning. · Proficiency in Python and a solid understanding of JVM ecosystems. · Strong grasp 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. · Ability to debug complex issues and engage with upstream open-source communities. · Excellent collaboration, communication, and problem-solving skills. Benefits · Fully remote work with flexible arrangements. · Comprehensive health, vision, and dental coverage. · Flexible time off policy. · Company-provided computer hardware and work-from-home setup reimbursement. · Health & wellness perks including virtual events and team activities. · Monthly Internet and phone reimbursement. · Opportunities for career growth and skill development in cutting-edge technologies. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. It compares your profile to the job’s core requirements and past success factors to determine your match score. Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1 Apply tot his job