To strengthen our Scheduling (TSP-SCD) team within GOSP, we are looking for an Automation Engineer – Enterprise Scheduling & Workload Automation.
The Scheduling unit delivers automation solutions for business-critical applications across the Generali Group in Germany and internationally. We are looking for a technology-driven professional with a passion for automation, innovation, and continuous improvement. You enjoy working across platforms, exploring emerging technologies, and helping shape the future of enterprise workload automation through modern solutions, AI-assisted development, and operational excellence.
Your Responsibilities:
- Drive the evolution, modernization, and optimization of enterprise scheduling and automation services across mainframe, distributed, and cloud-ready environments.
- Design, implement, and continuously improve automation solutions for business-critical workloads and IT operations.
- Evaluate and leverage modern technologies, AI-assisted development tools, and automation frameworks to increase efficiency and innovation.
- Collaborate with national and international stakeholders to translate business requirements into scalable, reliable, and future-proof solutions.
- Analyze incidents, job failures, and performance bottlenecks, ensuring sustainable resolutions and continuous service improvement.
- Contribute to migration, transformation, and innovation initiatives within the scheduling and automation landscape.
- Support operational excellence through change, incident, problem, audit, and compliance processes.
- Create and maintain high-quality technical, operational, and process documentation.
Your Profile:
- Degree in Computer Science, completed IT vocational training, or a comparable qualification.
- Experience in enterprise scheduling, workload automation, IT operations, software engineering, or the management of complex IT infrastructures.
- Hands-on experience with enterprise scheduling platforms such as IBM Z Workload Scheduler, SMA OpCon, or comparable solutions.
- Knowledge of distributed systems, automation frameworks, scripting, and modern software development practices.
- Experience with Python, APIs, or comparable automation technologies is highly desirable.
- Interest in emerging technologies and modern ways of working, including AI-assisted development, Microsoft Copilot, Vibe Coding, low-code/no-code platforms, and advanced automation toolchains.
- Knowledge of mainframe technologies such as JCL, REXX, DB2, and ISPF is an advantage.
- Strong analytical and problem-solving skills combined with a continuous improvement mindset.
- Open-minded, adaptable, and willing to look beyond established processes to identify opportunities and drive innovation.
- Strong communication and collaboration skills in an international environment.
- Fluent German and good English language skills.
What We Offer:
- The opportunity to shape and modernize enterprise automation services in an international environment.
- A diverse and future-oriented role at the intersection of mainframe technologies, distributed platforms, AI-enabled automation, and modern IT infrastructure.
- High autonomy, short decision-making paths, and the ability to make a visible impact.
- An open environment that encourages innovation, learning, and the exploration of new technologies.
- Continuous professional development and attractive training opportunities.
- Flexible working arrangements and a modern hybrid work environment.
- Competitive compensation package aligned with experience and skills.
- Potential individual performance-related variable component.
- Corporate welfare and employee benefits programs.
- Supplementary health insurance.
- Discounted insurance products.
- Continuous technical and managerial learning opportunities.
- Structured career development programs.
- Internal mobility opportunities across the Generali Group, including international career paths.
Location: Prague, CZ
Generali promotes the principle of equal treatment and gender neutrality. Job titles and position designations are used without reference to a specific gender and do not influence their perception or selection.