Python Software Engineer

Python Software Engineer | AWS Data Automation

We’re looking for an experienced Python Software Engineer to join a highly technical data automation team building production-grade, event-driven solutions on AWS..

You’ll help build real-time data extraction services that process long-form, unstructured information, primarily PDF documents.

These services use AI-assisted extraction to identify relevant information, validate and transform it into semi-structured JSON, and make it available to a wider platform as quickly and accurately as possible.

The solutions typically include human-in-the-loop validation, meaning the systems must be designed to manage confidence levels, exceptions and manual review without creating unnecessary delays.

You’ll be working across areas including:

• Building production-grade Python services and applications
• Developing AWS Lambda functions for document ingestion, processing and transformation
• Designing event-driven workflows using Amazon EventBridge
• Processing long-form PDFs and other unstructured data sources
• Converting extracted information into consistent, usable JSON objects
• Integrating AI-assisted extraction into production workflows
• Implementing error handling, retries, monitoring and operational controls
• Supporting human review and validation processes
• Writing clean, tested and maintainable code
• Working closely with other experienced engineers in a highly technical delivery team

Experience

• Strong commercial Python software engineering experience
• Hands-on experience building production workloads with AWS Lambda
• Strong knowledge of Amazon EventBridge
• Experience designing serverless and event-driven architectures
• Understanding of software engineering principles, including testing, maintainability and observability
• Experience integrating services through APIs, events and structured data contracts
• Ability to explain the technical decisions and trade-offs behind the solutions you have built

Desirable

• AI or LLM-assisted document extraction
• Processing PDFs or other unstructured document formats
• OCR, document parsing, chunking or classification
• Building evaluation systems to measure extraction accuracy and prevent regressions
• Confidence scoring and human-in-the-loop workflows
• Terraform or other Infrastructure as Code tooling
• Snowflake
• Schema validation and data-quality controls
• AWS monitoring and observability tooling

If you’ve built production-grade Python applications using Lambda and EventBridge, particularly involving unstructured documents or AI-assisted extraction, I’d love to hear from you.