Software Development Engineer – AI & Data Platform

Amazon; Seattle (WA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services, Inc. seeks a Software Development Engineer to design and deliver scalable data ingestion solutions and secure distributed systems.

You will work on end-to-end machine learning data pipelines and collaborate with ML teams to build robust foundations for RAG and recommendations. The role involves hands-on development with AWS tools, serverless components, and code-driven deployment, contributing to a Scrum team, and ensuring quality and security in fast-paced cloud

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

System design

OO design

Cloud services

Education

Bachelor's degree in CS/Engineering

Tools

AWS S3

AWS Glue

AWS Sagemaker

AWS Lambda

Job description

Amazon Web Services, Inc. seeks a Software Development Engineer to design and deliver scalable data ingestion solutions and secure distributed systems.

You will work on end-to-end machine learning data pipelines and collaborate with ML teams to build robust foundations for RAG and recommendations. The role involves hands-on development with AWS tools, serverless components, and code-driven deployment, contributing to a Scrum team, and ensuring quality and security in fast-paced cloud