SDE - Data Pipelines & AI Systems

Amazon Web Services (AWS); Arlington (VA); On-site; USD 143,700 - 194,400; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services, Inc. is seeking a Software Development Engineer to design and deliver scalable data ingestion solutions and ML-powered data platforms.

You will build secure, serverless and distributed systems using AWS services and implement infrastructure as code for automated deployment. You will collaborate with applied scientists and ML engineers to create robust data foundations for RAG systems and predictive models, while contributing to Scrum-driven development and high-quality

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
• 1+ years of software development engineer or related occupational experience.
• 1+ years of Object Oriented Design experience.
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field

Responsibilities

• Design, develop, and maintain scalable data ingestion solutions to solve complex and ambiguous data challenges for large-scale datasets.
• Build highly available, secure, distributed systems in microservices, container, and distributed cluster-compute architectures with comprehensive data validation frameworks.
• Develop serverless applications using AWS Lambda, S3, CloudWatch, and Glue services while implementing infrastructure as code through AWS CDK for automated deployment and monitoring.
• Apply Machine Learning to solve challenging data problems at scale.
• Work with AWS technologies such as Glue, EMR, S3, DynamoDB, Redshift, ElasticSearch, Lambda, SQS, SNS, API Gateway and more.
• Apply software development best practices in terms of quality and security.
• Utilize object-oriented software design to build scalable, maintainable systems.
• Contribute to planning, design, implementation, testing, operations, and process improvement as a member of a Scrum team.
• Design data systems optimized for machine learning workflows, including feature stores, model training pipelines, and real-time inference capabilities.
• Partner with applied scientists and ML engineers to build robust data foundations for RAG systems, recommendation engines, and predictive models
• Play an instrumental role in defining system architecture, own and implement specific components, and help shape the overall user experience for a data-focused product

Skills

Software development

Design/Architecture

Object Oriented Design

AWS

Python/Java

Education

Bachelor's degree in CS/Engineering

Tools

AWS services

SageMaker

Job description

Amazon Web Services, Inc. is seeking a Software Development Engineer to design and deliver scalable data ingestion solutions and ML-powered data platforms.

You will build secure, serverless and distributed systems using AWS services and implement infrastructure as code for automated deployment. You will collaborate with applied scientists and ML engineers to create robust data foundations for RAG systems and predictive models, while contributing to Scrum-driven development and high-quality