Martin Pucovski

– Maintain and optimize AWS automation infrastructure (EC2, VPC, networking) in collaboration with third-party providers.
– Design and implement automation solutions using AWS services, UiPath, and public APIs, leveraging Python and PowerShell for scripting.
– Leverage AWS AI/ML tools (SageMaker, Comprehend) and LLMs to develop intelligent automation workflows.
– Develop, test, and optimize automation workflows with advanced logging and reporting using Kibana and JIRA.
– Manage CI/CD pipelines, staging environments, and deployments following AWS best practices and security standards, utilizing Python and PowerShell for automation.
– Monitor AWS services (Cost Explorer, CloudWatch, Trusted Advisor) to ensure efficiency, security, and compliance.
– Lead automation projects, manage multiple initiatives in parallel, and work within Agile/Scrum frameworks.
– Work with SMEs, architects, and engagement teams to define requirements and deliver automation solutions.
– Contribute to international projects involving cognitive automation, AI, and machine learning solutions.
– Coordinate with AWS, UiPath, and other solution providers to ensure successful automation implementations.

– Oversee and support AWS RPA infrastructure, collaborating with infrastructure providers and third parties.
– Create cost-efficient, robust systems on the AWS platform for RPA solutions.
– Plan and extend CI/CD pipelines, staging environments, and deployment processes in alignment with Covestro standards.
– Develop RPA/AWS software solutions, leveraging machine learning and AI services.
– Regularly monitor services (e.g., Cost Explorer, Trusted Advisor, CloudWatch) to optimize performance and identify cost-saving opportunities.
– Ensure compliance with Covestro policies and strategic blueprints.
– Introduce new tools, technologies, and improvements while facilitating RPA adoption within the company.