Senior MES Software Engineer
Bayer AG
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Benefits offered by this job
Job summary
Bayer AG in Warsaw is seeking a Senior MES Software Engineer to drive AI-enabled MES development with Siemens OpCenter. You will design, build, test, and operate scalable MES solutions in a global product environment.
This role blends Generative AI and agentic software practices with cloud-native engineering, CI/CD, and DevOps to raise delivery speed, quality and reliability. Hybrid work options and transparent compensation are offered.
Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Engineering, or a related field.
- 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.
- Experience with APIs, microservices, cloud-native architectures, CI/CD, DevOps, and software automation.
- Hands-on experience with MES.
- Experience with Siemens OpCenter or comparable MES platforms.
- 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.
Responsibilities
- 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.
- Design, develop, test, and maintain MES solutions based on Siemens OpCenter.
- Lead implementation of MES features, enhancements, and technical work packages.
- Ensure MES solutions are scalable, maintainable, compliant, and aligned with enterprise architecture standards.
- 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.
- 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.
- 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.
- 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.
Skills
Education
Tools
Job description
At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.
Senior MES Software Engineer
For Digital Hub Warsaw, we are looking for:
Senior Software Engineer- Agentic MES Software Development to drives the adoption of AI-powered and agentic software engineering practices within the Manufacturing Execution Systems (MES) domain.
This role combines expertise in Generative AI, Agentic AI, AI-assisted software development, automation, cloud-native engineering, and modern software delivery practices with hands‑on experience in MES platforms, particularly Siemens OpCenter. The position is responsible for developing, integrating, and operating scalable MES solutions while leveraging emerging AI technologies to improve engineering productivity, accelerate software delivery, and enhance operational outcomes.
Working within a global product‑oriented environment, the Senior Software Engineer collaborates with product teams, architects, manufacturing stakeholders, automation engineers, and data professionals to deliver innovative and future‑ready digital manufacturing solutions.
At Bayer, we are committed to transparency, equal pay for equal work or work of equal value, and objective reward practices in line with EU and local regulations. The minimum monthly gross compensation for this role is 20 240 PLN, with final pay determined based on objective factors such as experience, qualifications, scope of responsibility, and internal alignment.
This position is eligible for variable pay components, such as performance based bonuses, awarded in accordance with the applicable employee group, role scope, and compensation structure
- 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.
- Design, develop, test, and maintain MES solutions based on Siemens OpCenter.
- Lead implementation of MES features, enhancements, and technical work packages.
- Ensure MES solutions are scalable, maintainable, compliant, and aligned with enterprise architecture standards.
- 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.
- 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.
- 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.
- 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.
- MES Product Managers & Product Owners
- Manufacturing Operations & Site Leadership
- Software Engineering & DevOps Teams
- Data Scientists, Data Engineers & Data Architects
- Quality, Validation & Compliance Teams
- Cybersecurity Teams
- Business Process Owners and Manufacturing Stakeholders
- Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Engineering, or a related field.
- 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.
- 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.
- 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.
- Medical care above statutory requirements
- Flexible benefits supporting leisure, and well‑being/sports programs
- Life, accident, and disability insurance through group coverage
- Employer supported pension plans with regular company contributions
- Home office allowance to support hybrid or remote work
Benefits may vary depending on country, role, and employment conditions.
Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
Bayer offers the possibility of working in a hybrid model. We know how important work‑life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager.
Bayer respects and applies the Whistleblower Act in Poland.
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