Industrial Software Engineer - IoT, APIs & SaaS

Alloy Precision Manufacturing; Mentor (OH); On-site; USD 90,000 - 120,000; Full time

Job summary

Production Pulse, operated by Alloy Precision Technologies, Inc., is seeking engineers to design, develop, test, and maintain its industrial manufacturing software platform. You will build backend services, APIs, and databases, and integrate with IIOT devices and ERP systems to ensure scalable, reliable solutions.

Candidates should be comfortable troubleshooting hardware and software, and possess a strong foundation in TypeScript, C#, and Python within SaaS or manufacturing contexts.

Qualifications

• Bachelor's degree in computer science, software engineering, or related field.
• Experience with Windows Server and MS SQL Server.
• Familiarity with TypeScript, C#, Python, and frameworks like .NET.
• Experience with SaaS platforms or industrial/manufacturing environments.

Responsibilities

• Design, develop, test, and maintain Production Pulse software components.
• Build and maintain backend services, APIs, and database structures
• Develop and enhance user-facing interfaces.
• Integrate Production Pulse with IIOT devices, machine controllers, and third-party systems including ERP platforms.
• Enhance performance, scalability, and system reliability.
• Troubleshoot software defects and performance issues.
• Contribute to architecture design and decision making.
• Contribute to software releases, version control, and CI/CD processes.

Skills

TypeScript

C#

Python

Customer communication

Troubleshooting

Git

Education

Bachelor’s degree in Computer Science or Software Engineering

Tools

Git

Windows Server

Microsoft SQL Server

Prisma

SQL Server

Job description

Production Pulse, operated by Alloy Precision Technologies, Inc., is seeking engineers to design, develop, test, and maintain its industrial manufacturing software platform. You will build backend services, APIs, and databases, and integrate with IIOT devices and ERP systems to ensure scalable, reliable solutions.

Candidates should be comfortable troubleshooting hardware and software, and possess a strong foundation in TypeScript, C#, and Python within SaaS or manufacturing contexts.