Senior Software Engineer – Agentic MES 1 Software Development

The role involves driving AI-powered software engineering practices within the Manufacturing Execution Systems (MES) domain, with a focus on developing and operating scalable MES solutions based on Siemens OpCenter. The position is part of a global product-oriented environment collaborating with product teams, architects, manufacturing stakeholders, automation engineers, and data professionals.

Required:

• 5+ years of experience in software engineering or related 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 in software delivery.
• 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 in regulated environments.
• Strong analytical, communication, collaboration, and problem-solving skills.

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 for AI copilots, intelligent agents, and automation to enhance productivity and software quality.
• Collaborate with teams to integrate AI capabilities into software delivery processes.
• Evaluate emerging technologies and recommend applications that deliver business value.
• Ensure AI solutions have appropriate governance, security, compliance, and 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.

Systems Design & Integration:

• Design MES workflows, services, integrations, and interfaces for 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 MES.

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 efficiency.

Operations & Reliability:

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

Collaboration, Coaching & Knowledge Sharing:

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

Informujemy, że administratorem danych jest Bayer Sp.z.o.o z siedzibą w Warszawie, ul. Aleje Jerozolimskie 158 (dalej jako "administrator"). Masz prawo do żądania dostępu do swoich danych osobowych, ich sprostowania, usunięcia lub ograniczenia przetwarzania, prawo do wniesienia sprzeciwu wobec przetwarzania, a także prawo do przenoszenia danych oraz wniesienia skargi do organu nadzorczego. Dane osobowe przetwarzane będą w celu realizacji procesu rekrutacji. Podanie danych w zakresie wynikającym z ustawy z dnia 26 czerwca 1974 r. Kodeks pracy jest obowiązkowe. W pozostałym zakresie podanie danych jest dobrowolne. Odmowa podania danych obowiązkowych może skutkować brakiem możliwości przeprowadzenia procesu rekrutacji. Administrator przetwarza dane obowiązkowe na podstawie ciążącego na nim obowiązku prawnego, zaś w zakresie danych dodatkowych podstawą przetwarzania jest zgoda. Dane osobowe będą przetwarzane do czasu zakończenia postępowania rekrutacyjnego i przez okres możliwości dochodzenia ewentualnych roszczeń, a w przypadku wyrażenia zgody na udział w przyszłych postępowaniach rekrutacyjnych - do czasu wycofania tej zgody. Zgoda na przetwarzanie danych osobowych może zostać wycofana w dowolnym momencie. Odbiorcą danych jest serwis Just Join IT oraz inne podmioty, którym powierzyliśmy przetwarzanie danych w związku z rekrutacją.