Senior MES & Digital Manufacturing Solutions Architect

Autoliv; Santiago de Querétaro; Presencial; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

Autoliv seeks a Business Solutions Advanced Specialist in Digital Manufacturing & MES to design, develop, and support MES-based applications and integrations. You will collaborate with Manufacturing, Quality, Engineering, Supply Chain, and IT to improve operational performance and data-driven processes.

The role emphasizes reporting, analytics, automation, and AI-enabled tooling to enhance traceability and business value under real production conditions.

Formación

• Bachelor’s degree in Computer Science or related field.
• 6+ years of software development in manufacturing environments.
• Hands-on MES and manufacturing process experience.
• Strong SQL/PL/SQL with relational databases.
• Proficiency in C#/.NET, Python, JavaScript.
• Experience with REST APIs and ERP/WMS integrations.
• Git and CI/CD practices.
• Fluent English; willing to travel domestically and internationally.

Responsabilidades

• Design, develop, and maintain applications and extensions for MES and manufacturing.
• Build and support integrations between MES, ERP, WMS, PLC, and quality systems.
• Develop and optimize SQL/PL/SQL code for reporting and data validation.
• Provide advanced MES support with root cause analysis and fixes.
• Support testing, UAT, deployments, and go-live activities.
• Use AI and automation tools to improve development and documentation.

Conocimientos

MES experience

6+ years software development

SQL/PLSQL

C#/.NET

Python

JavaScript

REST APIs

Git

CI/CD

Fluent English

Educación

Bachelor's degree in Computer Science / Information Systems / Engineering

Herramientas

SQL Server

Azure (cloud)

Descripción del empleo

Autoliv seeks a Business Solutions Advanced Specialist in Digital Manufacturing & MES to design, develop, and support MES-based applications and integrations. You will collaborate with Manufacturing, Quality, Engineering, Supply Chain, and IT to improve operational performance and data-driven processes.

The role emphasizes reporting, analytics, automation, and AI-enabled tooling to enhance traceability and business value under real production conditions.