Design, build, deploy, and maintain DTEX’s platform and data pipelines. Develop scalable Python microservices, manage containerized Kubernetes deployments, optimize OpenSearch and PostgreSQL storage, improve search performance, and build big-data analytics features. The role also emphasizes security, data protection, full lifecycle ownership, mentoring, testing, automation, and continuous improvement.
About the Job:
As a Platform Engineer, you will play a crucial role in designing, building, and maintaining our DTEX InTERCEPT platform. You will work with a talented team of engineers to develop and deploy robust solutions that address the ever-evolving challenges of insider risk.
Responsibilities:
Qualifications/Attributes:
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): $150K-220K
As a Platform Engineer, you will play a crucial role in designing, building, and maintaining our DTEX InTERCEPT platform. You will work with a talented team of engineers to develop and deploy robust solutions that address the ever-evolving challenges of insider risk.
Responsibilities:
- Expertise in microservice architecture, develop services optimized for speed and scalability, ensuring robust performance of data pipelines under high-demand conditions.
- Implement and manage containerization technologies, including Podman and Kubernetes, to ensure efficient deployment and operation of our platform.
- Write high-quality Python code, including testing, automation, documentation, and adherence to software engineering best practices.
- Design and implement efficient strategies for storage and retrieval of high-volume data from OpenSearch and Postgres databases.
- Lead efforts to improve search relevance, performance and user experience through tuning, optimization, and experimentation.
- Design and implement features for the big data analytics platform that is part of the DTEX solution.
- Implement best practices for system security and data protection, adhering to industry standards and compliance requirements.
- Demonstrate a high degree of ownership in all facets of the development lifecycle, from design to deployment and iterative improvements.
- Mentor junior engineers and foster a culture of innovation and continuous learning.
Qualifications/Attributes:
- BS in CS or equivalent and 5+ years of experience in developing software.
- Indepth experience using OpenSearch or ElasticSearch.
- Proven experience in writing high quality code in Python or any other functional/OO language with a track record of shipping impactful software.
- Proficiency in at least one of the Cloud Technologies AWS or GCP and orchestration using Kubernetes, EKS, ECS, Docker Swarm or Mesos.
- Proficiency in implementing, designing, and scaling production level APIs in cloud environments.
- Proficiency in Django, PostgreSQL, or any other SQL database,
- Knowledge of Linux Systemd, daemons, services, and cron subsystems is a huge plus but not a requirement.
- Strong communication and organizational skills.
- Proactive self-starter.
- Demonstrated ability to simplify complex problems and prioritize what matters most for the team and business.
- Prior experience working in a startup is a plus
- Experience using IDE embedded AI is a plus
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): $150K-220K
DTEX Systems San Jose, California, USA Office
San Jose, CA, United States
DTEX Systems Saratoga, California, USA Office
1936 Allendale Ave, Suite 2218, Saratoga, CA, United States, 95070
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Designs, builds, deploys, and operates cloud-native platform services and Kubernetes workloads. Leads technical projects, develops operators and controllers, improves reliability and scalability, writes tests and instrumentation, participates in on-call, and mentors junior engineers. The role requires strong Go programming, Kubernetes, hyperscaler, CI/CD, GitOps, and infrastructure-as-code experience, with work supporting US regulated markets.
Top Skills:
AWSAzureCi/CdCniContainersDashboardsGCPGitopsGoInfrastructure-As-CodeKubernetesKubernetes ControllersKubernetes OperatorsMetricsMtlsObservabilitySecrets ManagementService MeshTracingWorkload Identity
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, build, deploy, and operate cloud-native platform services and Kubernetes workloads. Lead technical projects, develop operators and controllers, improve reliability and scalability, write tests and instrumentation, maintain runbooks, participate in on-call, and mentor junior engineers. The role requires strong Go programming, hyperscaler experience, CI/CD, GitOps, infrastructure-as-code, and extensive Kubernetes experience.
Top Skills:
AWSAzureCi/CdCniContainer NetworkingContainersDashboardsGCPGitopsGoInfrastructure-As-CodeKubernetesKubernetes ControllersMetricsMtlsObservabilityOperator PatternSecrets ManagementService MeshTracingWorkload Identity
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Architects and builds large-scale distributed platform components and data ingestion systems. Designs scalable, fault-tolerant data lake architectures using Kubernetes, Iceberg, Kafka, Flink, and Spark. Develops reusable libraries and frameworks, leads complex technical initiatives, establishes engineering best practices, troubleshoots production issues, and provides technical leadership across engineering teams.
Top Skills:
Apache FlinkApache IcebergApache KafkaSparkAvroData LakesDistributed SystemsGitopsHelmJavaJvmKubernetesLinux/Os InternalsMySQLNetworkingOracleOrcParquetPostgresSockets
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

