Senior Software Engineer (Backend)

Main Purpose:

Trafigura is undergoing an exciting Digital Transformation and developing innovative technologies to change the way we work in Commodities Trading. The Document AI team is a key pillar of this initiative, unlocking the data-rich proprietary documents that pass through our firm to enable high value process optimization and data science use cases.

We are seeking a Senior Software Engineer to grow our Document AI platform, developing robust and maintainable software to solve real business problems. You will be technically leading and building software using cutting edge cloud and technology stacks.

This is a hands-on Individual Contributor role.

Knowledge Skills and Abilities, Key Responsibilities:

Knowledge, Skills and Abilities

• 6-8+ years of experience in software engineering
• Strong coder with demonstrated proficiency in Python
• Strong understanding of modern software design principles (e,g. microservices, event-driven architectures,  domain driven design, object oriented programming, test driven development)
• Experience with modern software development lifecycle (CI/CD, IaC, Containerisation)
• Strong practical experience with cloud engineering and AWS (preference for AWS Certified Practitioners)
• Experience with databases (SQL, NoSQL) and data engineering on AWS (e.g. step functions, glue)
• Basic front-end experience highly desirable
• Basic understanding of Data Science and Machine Learning, or experience working with Data Scientists highly desirable
• Prior experience in Commodities, Fixed Income, Equities, Asset Management would be a plus

Key Responsibilities

• Develop software such as applications, micro-services, components and frameworks
• Build core infrastructure and common services for the Document AI platform 
• Communicate effectively with both technical and non-technical stakeholders to understand and translate business requirements into production code
• Example projects you might own in the first 6 months include:
  • Develop cloud engineering pipeline for processing supply chain documents
  • Implement LLM workflow to automate information extraction from domain specific documents
  • Develop RAG-based AI assistant

Competencies

• Engineering mindset, focused on delivering production solutions with the appropriate technology
• Self-directed and comfortable working autonomously
• Strong desire to help people solve problems

Key Relationships and Department Overview:

Key Relationships

• You will work closely with the Digital Transformation Team to understand business requirements and rollout production-grade code to solve them.
• You will support the Data Science & Engineering teams as a Centre of Excellence for Document AI related technology, providing support in the form of knowledge sharing and tool adoption.

Department

Digital Transformation Tea

Reporting Structure

You will report directly to the Document AI Lead.