
201 - 500 employees
Founded 2017
💼 Consulting
🏢 Enterprise
🤖 Artificial Intelligence
Consulting • Enterprise • Artificial Intelligence
Kumulus is a Latin American technology services company specializing in cloud and data-driven digital transformation. It provides cloud adoption, managed cloud services, cloud security, DevOps and automation, data and analytics, AI & ML, IoT integration, application modernization, and enterprise integration in partnership with major cloud vendors like Microsoft, AWS, Google, and Databricks. Kumulus helps organizations of all sizes accelerate cloud journeys, modernize applications, and leverage analytics and AI to become more competitive.
🔥 0 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
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201 - 500 employees
Founded 2017
💼 Consulting
🏢 Enterprise
🤖 Artificial Intelligence
Consulting • Enterprise • Artificial Intelligence
Kumulus is a Latin American technology services company specializing in cloud and data-driven digital transformation. It provides cloud adoption, managed cloud services, cloud security, DevOps and automation, data and analytics, AI & ML, IoT integration, application modernization, and enterprise integration in partnership with major cloud vendors like Microsoft, AWS, Google, and Databricks. Kumulus helps organizations of all sizes accelerate cloud journeys, modernize applications, and leverage analytics and AI to become more competitive.
• Serve as the primary technical point of reference for SAP Build Process Automation, supporting the team in building, maintaining, and evolving automations. • Investigate and resolve incidents, identify root causes, and troubleshoot automated processes. • Develop, adjust, test, and optimize automations using SAP Build Process Automation. • Define and promote best practices for automation development, architecture, testing, version control, and deployment. • Analyze integrations between enterprise systems, APIs, services, and applications involved in automated processes. • Propose technical improvements to increase the efficiency, reliability, scalability, and maintainability of solutions. • Provide technical guidance to other professionals and support the resolution of complex issues and technical decisions. • Participate in the analysis and validation of changes, ensuring the quality and stability of solutions in production. • Act as a technical point of reference for the client, contributing to solution alignment and the definition of technical approaches. • Support the evolution of automation architecture by evaluating technical alternatives and optimization opportunities. • Promote knowledge sharing, technical documentation, and continuous improvement of solutions and development practices.
• Solid hands-on experience with SAP Build Process Automation, including the development, maintenance, troubleshooting, and evolution of automations. • Experience with Python, with a focus on automation. • Knowledge of the platform's capabilities for modeling and executing automated processes, building workflows, and developing automations. • Experience supporting applications, automations, or integrations in production environments. • Knowledge of integrations between systems, REST APIs, web services, authentication mechanisms, and error handling in automated processes. • Ability to investigate failures, analyze logs, identify root causes, and propose sustainable technical solutions. • Experience defining technical approaches, applying development best practices, and evolving enterprise solutions. • Ability to act as a technical point of reference, guide professionals, and support decisions related to solution architecture and implementation. • Familiarity with ticketing systems, change management, code version control, and technical documentation. • Strong communication and organizational skills, autonomy, and the ability to interact with clients and multidisciplinary teams. • Preferred: Knowledge of Power Platform, including Power Automate and Power Apps. • Preferred: Understanding of integrations, programming languages such as Python or JavaScript, and Agile methodologies. • Preferred: Exposure to intelligent automation, AI, and AI agents applied to enterprise processes.
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