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Amazon
We are seeking an innovative Automation Engineer to join our Accounts Receivable Automation team at Amazon. In this role, you will leverage modern technologies including AI, Machine Learning, Large Language Models (LLMs), and traditional RPA tools to transform our financial operations.
Join our Finance Operations team to design and implement intelligent automation solutions that operate at Amazons unprecedented scale. You will work with diverse stakeholders to analyze existing processes, architect future-state solutions, and deliver high-impact automations that drive operational excellence.
Key job responsibilities
Responsibilities:
• Design and develop automation solutions using AI, ML, LLMs, AWS services, and RPA tools like UiPath
• Optimize and maintain existing automations, including SQL query optimization and database management
• Partner with stakeholders to gather requirements, create technical specifications, and ensure solutions meet business objectives
• Lead multiple concurrent automation projects from inception to deployment while meeting established timelines
• Implement robust error handling, monitoring, and testing procedures to ensure automation reliability
• Coordinate with cross-functional teams to integrate solutions across various financial systems and processes
• Provide technical consultation on automation possibilities and maintain solution documentation
• Stay current with emerging technologies and contribute to the teams automation strategy through knowledge sharing and best practices Qualifications:
- Bachelor's Degree in computer science or equivalent
- 2-3 years of relevant experience
- Expertise in RPA platforms and automation tools.
- Certified UI Path (preferred) or Blue Prism developer
- Strong working knowledge of SQL and PL/SQL best practices
- Familiarity with AWS services
- Experience with global systems and solutions
- Ability to work independently in a dynamic and fast paced environment
- Creating robots with attention to detail and self-auditing controls
- Ability to manage production issues and escalate as appropriate
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