Senior Automation Developer

Our requirements

• 4 years of experience in developing UiPath solutions, including AI Center and Document Understanding.
• Strong knowledge of UiPath Orchestrator for deployment, monitoring, and maintenance of live robots.
• Hands-on experience in .NET or Python for custom activities and integrations.
• Knowledge of cloud-based RPA deployments (Azure, AWS).
• Familiarity with agentic AI concepts and autonomous bot behavior.
• UiPath certifications (e.g. Automation Developer Professional) will be a plus.
• Familiarity with service-oriented architecture and API integrations.
• Experience in preparing Solution Design Documents and following governance standards.
• Knowledge of process mining tools and ability to identify automation opportunities.
• Ability to work in an international, multicultural team with strong communication and collaboration skills.
• Knowledge in Power Automate is a plus
• Strong command of English, with excellent verbal and written communication skills; proficiency in German is a plus.

Your responsibilities

• Design, develop, test, and implement intelligent RPA bots interacting with multiple applications and systems.
• Independently build high-quality automation solutions using UiPath Studio, Orchestrator, and modern components (including AI Center, Document Understanding, and Integration Service).
• Quickly assess feasibility and provide consultation on automation solutions, including process mining and task mining for optimization.
• Collaborate with Process Owners/ Business Analysts to implement and automate processes using UiPath and AI-driven enhancements.
• Actively reduce technical debt and ensure scalable, reusable automation frameworks throughout the project lifecycle.
• Support existing processes and implement change requirements as part of structured change control, resolving complex issues.
• Develop solutions considering data security, integration, infrastructure, and performance, ensuring maximum robot utilization.
• Integrate cognitive capabilities such as OCR, NLP, and machine learning models for handling unstructured data.
• Apply best practices for CI/CD pipelines and version control for automation deployments.

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• flexible working time
• preferential loans
• corporate library
• extra social benefits
• employee referral program
• charity initiatives
• LinkedIn Learning

Dürr Group Services sp. z o.o.