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# Platform Engineer

- **Company:** Dtex Systems, Inc.
- **Location:** Fremont, CA, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Amazon Web Services, Big Data, Cloud Computing, Databases, Daemon Tools, Django Web Framework, Elasticsearch, Python (Programming Language), PostgreSQL, Mesos, Software Engineering, SQL Databases, Subsystems, Cloud Platform System, Docker Swarm, Kubernetes, Data Pipelines, OpenSearch, Docker, Microservices
- **Published:** October 12, 2026
- **Apply:** https://www.juju.com/job/16_7aed5244

## About the Role

* 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

## Description

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., * 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.