Staffing - Software Engineer III

Pay

$50‑75/hr (based on experience)

Duration

1 year

Location & Schedule

Corning, NY – Hybrid: required onsite 3‑5 days/week, depending on workflow.

About the role

We’re looking for a Staff Software Engineer specializing in Equipment Integration to build the software that connects our manufacturing equipment with enterprise systems like MES, ERP, SCADA, and other smart‑factory platforms. The role blends full‑stack engineering with deep equipment‑connectivity expertise to enable reliable, scalable, real‑time data flow across the production environment.

Responsibilities

• Design, develop, test, and deploy full‑stack software solutions for equipment‑to‑system integration
• Build backend services (Java, C#, Python, Node.js) and front‑end interfaces (HTML, CSS, JavaScript)
• Implement messaging and integration frameworks (ActiveMQ, RabbitMQ, Kafka, MQTT)
• Connect manufacturing equipment using protocols like OPC UA, SECS/GEM, TCP/IP, MQTT
• Integrate with MES, SCADA, and other manufacturing platforms
• Design and optimize databases for equipment data, events, and historical tracking
• Troubleshoot connectivity, data flow, and system behavior issues
• Support deployments, commissioning, and production startup
• Maintain documentation and collaborate with architects, IT, and manufacturing teams
• Stay current with Industry 4.0 technologies and contribute to continuous improvement

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Engineering, or related field
• 5+ years of software development experience (full‑stack or backend)
• Proficiency in Java, C#, Python, or JavaScript
• Knowledge of OPC UA, SECS/GEM, TCP/IP, or message‑queuing technologies
• Experience with databases, Git, and Agile tools (Jira, GitLab)
• Experience with messaging frameworks (ActiveMQ, RabbitMQ, Kafka, MQTT) – preferred
• Familiarity with SCADA (Ignition, znt Client) or MES (Siemens OpCenter/Camstar) – preferred
• Experience integrating manufacturing equipment with industrial systems – preferred
• Understanding of manufacturing environments, automation, and Industry 4.0 – preferred
• Experience with OSI PI or analytics platforms – preferred
• Strong debugging, problem‑solving, and communication skills
• Ability to collaborate across multidisciplinary teams