Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices.
Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance—to deliver measurable results and build lasting partnerships.
We are looking for a mid-level to senior Software Engineer to take ownership of document processing initiatives leveraging AWS Bedrock Data Automation (BDA) for a specific lab environment.
This is a hands-on role focused on building, maintaining, and enhancing backend services that support document ingestion, validation, and reporting workflows at
scale.The ideal candidate is comfortable owning end-to-end technical responsibilities, contributing to test infrastructure, and supporting model quality through robust data validation and drift detection
mechanisms.
Key Responsibilities:
- Own and enhance document processing workflows integrated with AWS Bedrock Data Automation (BDA) for a designated lab.
- Design, implement, and maintain test harness updates using AWS Lambda functions written in TypeScript
.- Develop and maintain reporting and validation mechanisms to monitor data quality and detect potential model drift.
- Collaborate closely with data, ML, and platform teams to ensure reliable, scalable, and secure processing pipelines.
- Troubleshoot, debug, and optimize existing services to improve performance, reliability, and maintainability.
- Contribute to technical design discussions and provide input on architecture, best practices, and continuous improvements.