SDE II - AWS KMS: Build at Scale & Security

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

Job summary

Amazon is seeking a Software Development Engineer II to design, implement, and deliver features across the full software development lifecycle. You will tackle complex technical problems, mentor fellow engineers, and shape the systems that power Amazon's customer experience.

Collaborate with product managers and peers, review design decisions, and explore new tools including generative AI to improve productivity and reliability.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture experience.
• 1+ years of software development engineer or related occupational experience.
• 1+ years of OO design experience.
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
• Experience programming with at least one software programming language.

Responsibilities

• Design and implement software solutions balancing scalability, performance, and security.
• Deliver high-quality code across the full development lifecycle.
• Collaborate with product managers, stakeholders, and engineers to understand needs.
• Mentor and coach team members through code reviews and documentation.
• Evaluate new tools and AI capabilities to improve productivity and code quality.

Skills

Software development

Design/architecture

SDE experience

C#

C++

Java

Perl

Object Oriented Design

Programming language experience

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Bachelor's degree in computer science or equivalent

Job description

Amazon is seeking a Software Development Engineer II to design, implement, and deliver features across the full software development lifecycle. You will tackle complex technical problems, mentor fellow engineers, and shape the systems that power Amazon's customer experience.

Collaborate with product managers and peers, review design decisions, and explore new tools including generative AI to improve productivity and reliability.