Senior Software Engineer
hace 7 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 Senior Software Engineer to take ownership of document processing initiatives using cloud-based generative AI tools in collaboration with our client's subject matter experts. This is a hands-on role focused on building, maintaining, and enhancing backend services that support document ingestion, validation, and reporting workflows. The ideal candidate combines strong AWS cloud development experience with a solid understanding of testing and observability in production environments, and has hands-on experience working with AWS Bedrock Data Automation and serverless architectures using AWS Lambda functions written in TypeScript.
Key Responsibilities:
- Own and evolve end-to-end document processing workflows integrated with Bedrock Data Automation for a designated lab environment. - Design, implement, and maintain backend APIs and serverless services using AWS Lambda (TypeScript) to support document ingestion, processing, and validation. - Define, implement, and extend validation, testing, and observability mechanisms (including test harnesses, reporting, and drift detection) to ensure accuracy and reliability in production. - Collaborate with data, ML, and platform teams to build scalable and reliable AI-driven processing pipelines. - Troubleshoot, optimize, and continuously improve services, contributing to technical design discussions and best practices. Hard skills:
- Experience as a Software Engineer, with a strong background in backend or cloud-native development.
- Hands-on experience building API endpoints and serverless systems on AWS.
- Proven experience working with AI-powered systems, specifically AWS Bedrock Data Automation.
- Strong proficiency in TypeScript and AWS Lambda.
- Experience validating and testing complex systems in production environments.
- Solid understanding of test harnesses, data validation, reporting, and quality monitoring.
- Ability to work independently, take ownership, and translate high-level ideas into concrete implementations.
- 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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