Senior Software Engineer

CMX1San Diego, CA

About The Position

CMX1 powers everyday excellence in the world’s most trusted brands. We give enterprises a single, easy-to-use platform for automating quality, safety, and compliance—so they can mitigate risk and protect brand reputation. We serve customers in more than 160 countries and 40 languages with plans to grow the business, taking advantage of increased operational complexity and risk in the industries we serve. That’s where you come in.

Requirements

  • Bachelor’s Degree in Computer Systems Engineering, Computer Science, Software Engineering or Computer Engineering or foreign equivalent
  • Two (2) years experience as Software Engineer or Software Developer
  • Background, coursework or knowledge in: XPath 1.0 / XSLT Development
  • Background, coursework or knowledge in: FO.NET Integration & Document Generation
  • Background, coursework or knowledge in: Frontend Development (HTML/CSS/JavaScript)
  • Background, coursework or knowledge in: Backend Development & Business Logic APIs (C# / .NET)
  • Background, coursework or knowledge in: Database and Data Engineering (SQL – MSSQL)
  • Background, coursework or knowledge in: Version Control and Issue Tracking (Git / JIRA)

Responsibilities

  • Design and maintain complex XSLT transformations utilizing XPath 1.0 to process and manipulate XML documents.
  • Optimize transformation logic for compatibility, performance, and accuracy across varied XML schemas.
  • Troubleshoot and refactor legacy XSLT pipelines for modern integration.
  • Create and customize FO.NET templates to generate print-ready documents (e.g., PDFs) from XSL-FO outputs.
  • Ensure visual accuracy, layout consistency, and branding compliance in all document outputs.
  • Write complex SQL queries, stored procedures, and data transformation scripts across MySQL, MSSQL, and Snowflake platforms.
  • Design and implement efficient ETL workflows to integrate, transform, and load data from multiple sources.
  • Maintain data integrity and performance across relational and cloud data environments.
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