Software Engineer, AI-First Data Infra at Scale

Amazon

Seattle (WA)

Presencial

USD 144.000 - 194.000

Jornada completa

Hace 2 días
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Ventajas ofrecidas por este puesto de trabajo

RSUs
Health insurance
401(k) matching
Paid time off
Parental leave

Descripción de la vacante

Amazon.com Services LLC in Seattle is seeking a software development engineer to own core platform services for Amazon Ads Spektr data infrastructure. You will consolidate legacy systems into API-first services and build MCP-enabled AI interfaces for data pipelines at scale, ensuring high availability and efficient CI/CD deployment.

The role emphasizes design of scalable Java services on AWS native infrastructure with automation and measurable impact on business data processing.

Formación

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

Responsabilidades

  • Engage with Product & Program Managers to understand customer requirements and brainstorm on solutions
  • Design, code and deploy components and micro‑services for the core job management pipeline
  • Ensure testability, maintainability and low operational footprint for your code
  • Participate in operational responsibilities with your team
  • Innovate on AWS technology to improve latency, reduce cost and operations

Conocimientos

Software development
Design/architecture
Programming languages

Educación

Bachelor's degree in CS or equivalent

Descripción del empleo

Amazon.com Services LLC in Seattle is seeking a software development engineer to own core platform services for Amazon Ads Spektr data infrastructure. You will consolidate legacy systems into API-first services and build MCP-enabled AI interfaces for data pipelines at scale, ensuring high availability and efficient CI/CD deployment.

The role emphasizes design of scalable Java services on AWS native infrastructure with automation and measurable impact on business data processing.

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