Senior Software Engineer

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. 

Position: SENIOR SOFTWARE ENGINEER
Salary: $ 103,000 per year

Minimum Education and Experience:
Bachelor’s Degree in Computer Systems Engineering, Computer Science, Software
Engineering or Computer Engineering or foreign equivalent and two (2) years experience
as Software Engineer or Software Developer.
Special Requirements include: Must also demonstrate background, coursework or
knowledge in: XPath 1.0 / XSLT Development; FO.NET Integration & Document
Generation; Frontend Development (HTML/CSS/JavaScript); Backend Development &
Business Logic APIs (C# / .NET); Database and Data Engineering (SQL – MSSQL);
Version Control and Issue Tracking (Git / JIRA)

Job Description:
XPath 1.0 / XSLT Development, such as 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.
FO.NET Integration & Document Generation, such as 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.
Database and Data Engineering using SQL – MySQL, MSSQL, Snowflake. 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.