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An integrated platform to prevent insider incidents while optimizing security and user privacy
The Role
Lead design, implementation, and tuning of large-scale OpenSearch clusters for IRM/DLP products. Mentor engineers, consult with clients, contribute to open-source, migrate Elasticsearch deployments to OpenSearch, optimize ingestion and search performance, and operate cloud-hosted search environments while collaborating with global teams.
Summary Generated by Built In
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
Qualifications:
Why Join Us?
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 solution.
Organizations and governments worldwide rely on DTEX to protect sensitive data, enable secure innovation, and safeguard trust. With privacy-by-design telemetry and adaptive controls, security teams can reduce risk without disrupting productivity.
Joining DTEX means working on some of the most complex and high-impact security challenges facing enterprises today.
DTEX is proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, gender, religion, sex, national origin, age, disability, or genetics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Exact compensation may vary based on skills, experience, and location.
Base salary range (SF Bay Area): $170k-$220k
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 solution.
Organizations and governments worldwide rely on DTEX to protect sensitive data, enable secure innovation, and safeguard trust. With privacy-by-design telemetry and adaptive controls, security teams can reduce risk without disrupting productivity.
Joining DTEX means working on some of the most complex and high-impact security challenges facing enterprises today.
DTEX is proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, gender, religion, sex, national origin, age, disability, or genetics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Exact compensation may vary based on skills, experience, and location.
Base salary range (SF Bay Area): $170k-$220k
Skills Required
- Minimum 10 years of software engineering experience.
- Bachelor's degree in computer science or related field.
- Deep expertise in OpenSearch internals for terabyte-scale, multi-node deployments.
- Proficiency in data management: ingestion pipelines, field mappings, cluster integrity, search/aggregation tuning.
- Proven experience migrating large-scale Elasticsearch 6.x deployments to OpenSearch 2.x or above.
- Knowledge of index lifecycle management, sharding strategies, JVM heap configuration, garbage collection optimization, shard and replica allocation tuning.
- Strong proficiency in Python.
- Good understanding of JVM ecosystems.
- Solid understanding of algorithms, data structures, and software design principles.
- Experience building distributed, high-throughput, concurrent applications.
- Hands-on experience with major cloud platforms (preferably AWS).
- Skilled in debugging complex issues and engaging with upstream open-source communities.
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The Company
What We Do
As the global leader for insider risk management, DTEX empowers organizations to prevent data loss and support a trusted workforce by stopping insider risks from becoming insider threats. Its InTERCEPT™ platform consolidates the essential elements of DLP, UBA and UAM in a single light-weight platform to detect and mitigate insider risks well before data loss occurs. Combining AI/ML with behavioral indicators, DTEX enables proactive insider risk management at scale without sacrificing employee privacy or network performance. Whether you are just starting to build your insider threat program or want to learn more about how to integrate DTEX into your current tech stack, such as Microsoft E5, CrowdStrike, or Splunk, we're here to help. Our platform is scalable, easy to use, and provides the visibility you need for a remote working world. Request a demo with us today so we can show you exactly how DTEX InTERCEPT can help you manage internal risk: https://www.dtexsystems.com/request-a-demo/.
Why Work With Us
Our philosophy towards our business is the same as our philosophy towards technology: People come first. Our core values guide our behavior, decision-making, and you’ll find a group of individuals that really care about meeting or beating client expectations every time – building proactive relationships along the way
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