Senior Software Engineer
hace 5 días
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. Hard skills:
- Solid experience as a backend or full-stack software engineer.
- Strong proficiency with TypeScript and serverless architectures, particularly AWS Lambda.
- Experience building or maintaining document processing systems or data pipelines.
- Familiarity with testing frameworks and test harness design.
- Good understanding of data validation, reporting, and quality monitoring concepts.
- Strong sense of ownership and accountability, consistently delivering high-quality work on time with minimal supervision.
- Excellent communication and collaboration skills, able to work effectively with cross-functional teams and stakeholders and clearly articulate technical concepts.
- Self-motivated and proactive, with the ability to work independently and drive technical initiatives forward.
- Exposure to ML or AI-driven systems, including concepts such as model drift or data quality monitoring.
- Experience working with AWS Bedrock or other managed AI/ML services.
- Experience working in regulated or lab-based environments.
- Familiarity with additional AWS services such as S3, CloudWatch, Step Functions, or similar.
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