Software Engineer, AI-Driven Migration Platform

Amazon Inc.; Boston (MA); Presencial; USD 144 000 - 194 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

401(k) matching

Paid time off

RSU eligibility

Resumo da oferta

Amazon is seeking a Software Development Engineer for AWS Transform Migrations in Boston, MA. You will design, build, and own components of an autonomous agent-based migration platform that moves data center resources with minimal human intervention.

You'll apply multi-agent and foundation-model techniques, collaborate across teams, and help raise engineering quality through rigorous reviews and rapid experimentation in a cloud-native environment.

Qualificações

• 3+ years of non-internship professional software development experience.
• 2+ years of design or architecture experience (design patterns, reliability and scaling).
• Experience programming with at least one software programming language.

Responsabilidades

• Design, build, and own major components of the Agentic AI migration platform.
• Implement multi-agent capabilities leveraging foundation models and tool-use patterns.
• Contribute to AI-powered network transformation features using generative models.
• Collaborate with engineers and product partners on design reviews and architecture.
• Improve autonomy and accuracy of agentic orchestration for migrations.
• Mentor junior engineers and promote high-velocity releases on Brownfield projects.

Conhecimentos

Software development

System design & architecture

Programming languages

Formação académica

Bachelor's degree in Computer Science or equivalent

Descrição da oferta de emprego

Amazon is seeking a Software Development Engineer for AWS Transform Migrations in Boston, MA. You will design, build, and own components of an autonomous agent-based migration platform that moves data center resources with minimal human intervention.

You'll apply multi-agent and foundation-model techniques, collaborate across teams, and help raise engineering quality through rigorous reviews and rapid experimentation in a cloud-native environment.