Senior/Principal Engineer OpenSearch
We are excited that you’ve taken the time to explore our business and potentially join us on this incredible journey. We are already the leader in the Insider Risk Management, but our story doesn’t stop there. We have serious growth plans and that means serious growth opportunities for everyone in our team, whether you’re looking to develop into a management position or establish yourself as an industry expert – we are here to support you.
- Opportunity to be part of a disruptive high growth success story.
- DTEX is a great place to work because of its mission-oriented culture and passion for protecting customers.
- We offer exciting growth opportunities and an excellent platform for individuals to contribute to thought leadership as experts in their field.
- We are uniquely positioned to solve highly relevant and complex risks and challenges associated with insider risk.
- Opportunity to be part of a business that’s passionate about creating first-of-a-kind solutions.
- Best in class benefits
DTEX Systems 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 DLP 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.
- 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.
- Fully remote company
- Comprehensive health, vision, and dental coverage
- Flexible time off
- Company computer hardware of your choice
- Work from home setup reimbursement
- Health & wellness perks including
- Virtual events, happy hours, trivia, and fun
- Monthly Internet & Phone Reimbursement
- Opportunities to learn and grow
Base salary range (SF Bay Area): $180K-220K
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