Software Engineer II, Planning Solutions - Cloud-Scale Impact

Amazon Inc.; Seattle (WA); On-site; USD 140,000 - 190,000; Full time

Job summary

Amazon is seeking a Software Development Engineer II to deliver high-quality features and own the full software development lifecycle from design to operations. You will collaborate with engineers across teams, mentor peers in best practices, and help shape scalable systems powering Amazon's products and services.

The role emphasizes solving complex problems with well-crafted solutions, contributing to reliability, and exploring responsible uses of AI to augment productivity.

Responsibilities

• Design, implement, and maintain software features across major components of your team's systems, contributing to the full development lifecycle including scoping, coding, testing, deployment, and operational support.
• Write clean, well-documented, and maintainable code while actively participating in code reviews to provide meaningful feedback and mentor fellow engineers on best practices.
• Collaborate with customers, stakeholders, and cross-functional teams to understand business requirements and translate them into effective technical solutions that balance customer needs with system scalability and performance.
• Evaluate and integrate generative AI tools where appropriate to augment productivity and solution quality, while applying responsible practices to refine outputs.
• Identify and resolve root causes of operational issues, proactively improve team processes, and contribute to the long-term reliability and maintainability of your team's software.

Job description

Amazon is seeking a Software Development Engineer II to deliver high-quality features and own the full software development lifecycle from design to operations. You will collaborate with engineers across teams, mentor peers in best practices, and help shape scalable systems powering Amazon's products and services.

The role emphasizes solving complex problems with well-crafted solutions, contributing to reliability, and exploring responsible uses of AI to augment productivity.