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# Specialist - System Management

- **Company:** LTM Inc
- **Location:** Bellevue, WA, United States
- **Experience:** Expert
- **Salary:** $130,000.0 - $150,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Application Programming Interfaces (APIs), Amazon S3, Application Integration Architecture, Application Layers, Unit Testing, Code Review, Continuous Integration, Data as a Services, Information Engineering, Amazon DynamoDB, Python (Programming Language), Systems Development Life Cycle, Service Development Studio, Software Engineering, SQL Databases, ReactJS, Large Language Models, Session Description Protocol Security Descriptions (SDES), Backend, Data Layers, Single Page Application, Front End Software Development, Data Delivery, Restful APIs, Software Version Control, Data Pipelines
- **Published:** October 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=88f3255323d8df9f

## About the Role

* 10 years of professional software development experience
 * Demonstrated experience with React and modern frontend development component architecture state management API integration
 * Proficiency in Python for backend service development
 * Experience with full SDLC including code reviews source control CICD and testing

## Description

* Build and maintain React frontend components including metric dashboards pivot and rollup views data tables filtering interfaces and export functionality
 * Develop Python backend services and REST APIs that form the application layer between the frontend and underlying data services
 * Integrate the application layer with upstream data services and APIs ensuring accurate and performant data delivery to the frontend
 * Partner with Data Engineers and Business Intelligence Engineers to translate frontend requirements into data contracts influence upstream table design and ensure the data layer meets application needs
 * Participate in code reviews unit and integration testing documentation and production deployments

Technical Environment

 * Frontend React based single page application with a shared component model across CLS products
 * Backend Python based services with REST API layer
 * Data layer Structured query results and precomputed datasets served via APIs from the data engineering layer
 * AI integration LLM powered conversational interface for natural language metric exploration
 * Infrastructure AWS native Lambda S3 DynamoDB cloud hosted data pipelines
 * Collaboration Cross functional team of SDEs Data Engineers DEs and Business Intelligence Engineers BIEs