C# Software Engineer - Obfuscation & AI-Driven Security

Agileengine; León; Híbrido; MXN 1.062.000 - 1.592.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Descripción de la vacante

AgileEngine is seeking a mid-level C# Developer to contribute to an application-protection product built on C# and IL. You will work with two senior engineers to implement changes, understand obfuscation and runtime-protection, and supervise AI-assisted development across integration with customer builds.

Flexibility is offered to work from home or office, and compensation is USD-based. The role emphasizes collaboration, problem-solving, and continued learning across the stack.

Formación

• Hands-on C# software engineering with at least 3 years of experience.
• Ability to collaborate with senior engineers on product implementation and problem-solving.
• Ability to supervise AI-assisted development and review generated code.

Responsabilidades

• Contribute to development and maintenance of a C# and IL-focused product.
• Work with two senior engineers to implement product changes and solve problems.
• Understand obfuscation and runtime-protection context and its interaction with customer builds.
• Break down tasks and seek clarification when requirements are unclear.
• Use Claude Code in daily development while reviewing and verifying outputs.
• Contribute to adjacent technical tasks using AI assistance and collaboration.

Conocimientos

C# development

AI-assisted supervision

Critical thinking

CI/CD

Herramientas

Command-line tools

Build processes

.NET IL knowledge

Descripción del empleo

AgileEngine is seeking a mid-level C# Developer to contribute to an application-protection product built on C# and IL. You will work with two senior engineers to implement changes, understand obfuscation and runtime-protection, and supervise AI-assisted development across integration with customer builds.

Flexibility is offered to work from home or office, and compensation is USD-based. The role emphasizes collaboration, problem-solving, and continued learning across the stack.