SDE II: Cloud-Native, Scalable Systems & AI Tools

Amazon Inc.

Redmond

On-site

AUD 204,000 - 277,000

Full time

14 days+

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Benefits offered by this job

Health insurance
RSUs
Paid time off
Parental leave

Job summary

Amazon Inc. in Redmond, WA is seeking a Software Development Engineer II to own design, development, and operations of scalable cloud services.

You will work in an agile team, participate in code reviews, and mentor junior engineers while delivering high-quality, maintainable code across distributed systems. You will leverage GenAI and AI-powered tooling to boost productivity, design multi-tiered architectures, and ensure reliability and cost-efficiency.

Qualifications

  • 3+ years of non-internship professional software development experience.
  • 2+ years of design or architecture experience for large systems.
  • 2+ years of software development engineer or related experience.
  • Experience with large-scale multi-tier distributed software.
  • OO design experience and at least one programming language.

Responsibilities

  • Collaborate with cross-disciplinary teams to design, build, and operate innovative products and services.
  • Design and develop scalable cloud-native architectures and microservices.
  • Participate in code reviews and contribute to documentation.
  • Build and maintain resilient distributed systems that are cost-effective.
  • Mentor junior engineers and work in an agile CI/CD environment.
  • Monitor, troubleshoot, and resolve production issues.

Skills

Cloud-native
Distributed systems
Object oriented design
C#/C++/Java
Code reviews

Education

Bachelor's degree in CS/Engineering
Foreign equivalent acceptable

Tools

AWS
SQL/NoSQL
Git
CI/CD

Job description

Amazon Inc. in Redmond, WA is seeking a Software Development Engineer II to own design, development, and operations of scalable cloud services.

You will work in an agile team, participate in code reviews, and mentor junior engineers while delivering high-quality, maintainable code across distributed systems. You will leverage GenAI and AI-powered tooling to boost productivity, design multi-tiered architectures, and ensure reliability and cost-efficiency.

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