Senior Software Engineer – Agentic MES 1 Software Development

The Senior Software Engineer – Agentic MES Software Development drives adoption of AI-powered and agentic software engineering practices within the Manufacturing Execution Systems (MES) domain. The role combines Generative AI, Agentic AI, AI-assisted software development, automation, cloud-native engineering, and modern software delivery practices with hands-on MES platform experience, particularly Siemens OpCenter.

The position develops, integrates, and operates scalable MES solutions while using emerging AI technologies to improve engineering productivity, accelerate software delivery, and enhance operational outcomes. Working in a global product-oriented environment, the engineer collaborates with product teams, architects, manufacturing stakeholders, automation engineers, and data professionals to deliver future-ready digital manufacturing solutions.

Agentic Software Development & AI Enablement

• Drive adoption of Agentic Software Development and AI-assisted engineering practices.
• Leverage AI-powered tools to improve software development, testing, documentation, troubleshooting, and knowledge management.
• Identify opportunities where AI copilots, intelligent agents, and automation can increase engineering productivity and software quality.
• Collaborate with engineering, architecture, data, and product teams to integrate AI-enabled capabilities into software delivery processes.
• Evaluate emerging technologies and recommend practical applications that deliver measurable business value.
• Ensure AI-enabled solutions are implemented with appropriate governance, security, compliance, and human oversight.

MES Solution Development

• Design, develop, test, and maintain MES solutions based on Siemens OpCenter.
• Lead implementation of MES features, enhancements, and technical work packages.
• Support global MES template development and manufacturing site deployments.
• Ensure MES solutions are scalable, maintainable, compliant, and aligned with enterprise architecture standards.

Systems Design & Integration

• Design MES workflows, services, integrations, and interfaces supporting manufacturing processes.
• Develop and maintain integrations between MES, SAP, LIMS, automation systems, and enterprise platforms.
• Build APIs, middleware solutions, and event-driven services.
• Support integration testing, validation, deployment, and release activities.
• Promote reusable integration patterns and standardization across the MES landscape.

Software Engineering & DevOps

• Develop high-quality software using modern engineering standards and best practices.
• Apply CI/CD, automated testing, Git-based development, and DevOps methodologies.
• Support cloud-native and containerized deployment models.
• Apply microservices, API-first, and event-driven architectural patterns.
• Continuously improve software quality, maintainability, and engineering efficiency.

Operations & Reliability

• Support and operate business-critical MES applications and services.
• Troubleshoot incidents, perform root-cause analysis, and implement sustainable solutions.
• Improve application stability, availability, performance, and resilience.
• Contribute to operational excellence and continuous service improvement initiatives.

Collaboration, Coaching & Knowledge Sharing

• Collaborate with product teams, manufacturing stakeholders, and business partners to deliver business value.
• Mentor junior engineers and promote engineering best practices.
• Contribute to technical communities, standards, and capability development initiatives.
• Foster a culture of innovation, continuous learning, and responsible AI adoption.

Qualifications & Skills

Required

• 5+ years of experience in software engineering or related technical roles.
• Strong knowledge of Generative AI, Agentic AI, AI-assisted software development, intelligent automation, and modern software engineering practices.
• Hands-on experience with AI-enabled developer tools, coding assistants, copilots, or agentic workflows.
• Experience identifying and implementing AI-driven productivity improvements within software delivery processes.
• Strong programming skills in Java, Python, C#, JavaScript, or similar technologies.
• Experience with APIs, microservices, cloud-native architectures, CI/CD, DevOps, and software automation.
• Hands-on experience with Manufacturing Execution Systems (MES).
• Experience working with Siemens OpCenter or comparable MES platforms is preferable.
• Experience integrating MES with SAP, LIMS, automation systems, or enterprise platforms.
• Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.
• Understanding of GxP, validation, data integrity, and security requirements in regulated environments.
• Strong analytical, communication, collaboration, and problem-solving skills.

What We Offer

• Minimum monthly gross compensation of 20 240,00 PLN; final pay is determined based on experience, qualifications, scope of responsibility, and internal alignment.
• Eligibility for variable pay components, including performance-based bonuses, in accordance with the applicable employee group, role scope, and compensation structure.
• Medical care above statutory requirements.
• Flexible benefits supporting leisure and well-being/sports programs.
• Group life, accident, and disability insurance.
• Employer-supported pension plans with regular company contributions.
• Home office allowance supporting hybrid or remote work.
• Extra paid holidays.