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.