Senior/Principal Engineer – OpenSearch

DTEX; Fremont (CA); Hybrid; USD 170,000 - 220,000; Full time

Benefits offered by this job

Competitive compensation

Equity participation

Health and wellness benefits

Job summary

DTEX is seeking a Senior Engineer – OpenSearch to lead the development and optimization of large-scale OpenSearch clusters. You will contribute to Insider Risk Management (IRM) and Data Loss Prevention (DLP) products and engage with the open-source community.

You will design and implement features, tune clusters across cloud-hosted environments (AWS), and mentor cross-functional teams while working with global collaborators to drive innovation in search technologies.

Qualifications

• Deep expertise in OpenSearch internals and managing terabytes of data across nodes.
• Strong Python and JVM ecosystem understanding for backend services.
• Experience migrating large Elasticsearch deployments to OpenSearch 2.x+.

Responsibilities

• Lead development and optimization of large-scale OpenSearch clusters.
• Contribute to DTEX IRM and DLP products and engage with open-source communities.
• Design new features, fixes, and performance improvements across distributed systems.
• Mentor teams, align technical solutions with business needs, and collaborate with clients.

Skills

OpenSearch internals

Python

JVM ecosystems

Distributed systems

Cloud platforms (AWS)

Education

Bachelor's degree in computer science or related field

Tools

OpenSearch

Elasticsearch

Job description

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 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