Site Reliability Engineer: MES & Production Systems

Foxconn Industrial Internet - FII; Houston (TX); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Basic life insurance and short-termdis

Supplemental life insurance and long‑‑

401K with employer contribution

Paid time off (Personal, Vacation, and

Job summary

Foxconn Industrial Internet - FII seeks a Site Reliability Engineer (G-project) in Houston to join the IT team. The role focuses on reliability, scalability, and automation, bridging development and operations to automate tasks and monitor systems to prevent failures.

You will design and support production systems, train users, and learn MES and manufacturing production processes while optimizing costs and performance.

Qualifications

• Associate degree in Computer Science or equivalent experience.
• 0–3 years of relevant experience.
• Python experience desired.
• Knowledge of tools/techniques used in software operations.
• Experience in at least one coding language preferred.
• Database experience preferred.

Responsibilities

• Support production.
• Design systems and processes and support implementation.
• User training and system issue tracking.
• Learn about MES and manufacturing production.
• Design control systems to minimize and resolve production issues and project costs.
• Develop standards for production and design by customizing MES tool per business needs.
• Administer and assist production related applications.

Skills

Action oriented

Detail oriented

Communication skills

Python

Office 365

Education

Associate degree in Computer Science

Tools

SharePoint

Project

PowerPoint

Excel

Word

Job description

Foxconn Industrial Internet - FII seeks a Site Reliability Engineer (G-project) in Houston to join the IT team. The role focuses on reliability, scalability, and automation, bridging development and operations to automate tasks and monitor systems to prevent failures.

You will design and support production systems, train users, and learn MES and manufacturing production processes while optimizing costs and performance.