This role sits at the intersection of product engineering, data intelligence, and AI/ML innovation. You'll architect and build AWS-native solutions that process complex procurement workflows, extract and normalize data from diverse document formats (especially PDFs), and leverage fuzzy matching algorithms and machine learning to automate supplier data reconciliation.

🧑🏻‍💻 Key Responsibilities

• Lead technical strategy and architecture

• Architect scalable AWS solutions

• Design and implement data processing pipelines

• Build robust PDF extraction and document intelligence systems

• Lead backend development with Python

• Drive technical architecture decisions

• Deliver value across the cloud stack

• Collaborate with cross-functional teams

• Ensure performance, quality, and responsiveness

• Grow and mentor a team of 3-4 engineers

• Address technical debt strategically

• Identify and correct bottlenecks

• Establish and maintain code quality standards

• Implement and evangelize modern automated testing

• Advocate for incremental delivery and trunk-based development

• Champion AI-driven development practices
  

🤝 If you have

• 7+ years of professional software engineering experience

• Deep proficiency in Python

• Real-world AWS knowledge

• Strong TypeScript expertise

• Strong data processing experience

• Production experience with PDF and document processing,

• Experience with fuzzy matching and data reconciliation,

• Proven experience designing and implementing microservices and event-driven

  architectures

• Experience with distributed systems,

• Strong understanding of API design

🦾 It’s a plus

• Experience applying machine learning to practical business problems

• Expertise with the principles of SOLID, DRY, KISS, YAGNI, and TDD

• A thought leader for AI-driven development

• Demonstrated ability to mentor and elevate engineering teams

• Familiarity with LLM integration and prompt engineering for document intelligence

• Expertise in front-end performance optimization