Software Engineer MES

Specialist Software Engineer MES

About the Role

We are seeking a Software Engineer to join our Digital Manufacturing team, collaborating with developers and technical specialists. This position plays a critical role in the development, implementation, and maintenance of our Manufacturing Systems, which is integral to our strategy for modernizing industrial systems. As part of our Technology organization, you will collaborate with a global team of engineers, automation specialists, IT professionals, and operations teams to deliver robust, scalable, and compliant Manufacturing solutions. You'll contribute to the transformation of our industrial network, leveraging modern technologies and integrating Manufacturing with enterprise systems.

Roles & Responsibilities

• Contribute to the design, software development, deployment and maintenance of the capabilities to integrate Manufacturing data.
• Develop new features for IoT platform, supporting business use cases/goals and integrating the platform with new data sources.
• Follow best practices for system integration, data integrity, cybersecurity, and regulatory compliance (e.g., GxP) to develop scalable and modular software solutions, adhering to SDLC requirements.
• Support modernization and digital transformation by developing and maintaining IoT applications and interfaces.
• Assist in requirements gathering, solution development, design, software development and system qualification under the guidance of a lead engineer.
• Collaborate with Operations, Quality, Automation, IT, and business stakeholders to ensure Manufacturing solutions meet user needs and strategic goals.
• Participate in cross-functional project teams through all phases—design, build, test, deployment, and support.
• Help develop and maintain technical documentation, including specifications, validation protocols, and training materials.
• Engage in continuous learning and contribute to a culture of innovation and improvement.
• Support change management and system adoption across global industrial sites.
• Troubleshoot and resolve technical issues, escalating complex challenges to senior engineers as needed.

Basic Qualifications & Experience

• Bachelor's degree in engineering, Computer Science, Information Systems, or related field.
• Master's degree and 6 to 10 years of hands-on software development experience, OR Bachelor's degree and 8 to 12 years of hands-on experience in industrial or manufacturing environments, using Java, Python, or other technologies.
• Practical exposure to MES systems, industrial automation systems, automation protocols such as Ethernet IP/OPC UA/MQTT and integration with SCADA/data historians.
• Hand on experience with Java, Python, Kubernetes or Docker, CI/CD, Kafka and hybrid (edge/cloud) IoT architectures.
• Ability to analyze operational data, troubleshoot system issues, and support process optimization.
• Experience with AWS IoT core /Greengrass or similar technology
• Experience with timeseries databases such as InfluxDB, TimescaleDB

Preferred Qualifications

• Experience using AI software tools like GitHub Copilot, Cursor, Claude, Codex, etc. to improve developer productivity.
• Experience working with automation systems such as Rockwell and DeltaV
• Knowledge of ISA-95 standards, data lakes, and digital manufacturing initiatives (AI/ML for manufacturing data).
• Prior work in regulated manufacturing environments with exposure to quality systems and technical SOPs is a plus.
• Experience working in global or matrixed teams.
• Familiarity with GxP regulations, validation protocols, and compliance documentation.
• Professional certifications in IoT, software development, or related areas are a plus.
• Experience with Grafana or other front end technologies is a plus.
• Experience with LoRaWAN/Chirpstack or similar tech is a plus
• Experience working in an Agile evnironment is a plus.

Soft Skills

• Effective communication and relationship-building skills.
• Initiative, self-motivation, and ability to work independently or as part of a team.
• Strong analytical and troubleshooting abilities.
• Ability to manage multiple priorities in a dynamic environment.
• Willingness to learn from and collaborate with senior engineers.