Software Development Engineer II-Distributed Systems (AWS)

Amazon Web Services (AWS); Seattle (WA); On-site; USD 144,000 - 194,000; Full time

Job summary

Amazon Data Services, Inc. in Seattle, WA is seeking an experienced Software Development Engineer to help design, build, and operate production quality services.

You will work on distributed systems and collaborate with cross-functional teams to deliver scalable solutions for the AWS cloud. The role emphasizes mentorship, fast delivery, and data-driven decision making, with opportunities to influence architecture and optimize performance while maintaining reliability across a broad set of

Qualifications

• 3+ years of non-internship professional software development experience
• 2+ years designing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
• 2+ years of Object Oriented Design experience
• 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

Responsibilities

• We are looking for an experienced Software Development Engineer with production quality software services experience.
• You will mentor and guide junior engineers and bring order to ambiguous scenarios, delivering high quality, extensible design and code.
• You will identify and implement optimizations for performance, scalability, and efficiency.

Skills

C#, C++, Java, or Perl

Object Oriented Design

Distributed systems

Education

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

Master's degree in computer science or equivalent

Job description

Amazon Data Services, Inc. in Seattle, WA is seeking an experienced Software Development Engineer to help design, build, and operate production quality services.

You will work on distributed systems and collaborate with cross-functional teams to deliver scalable solutions for the AWS cloud. The role emphasizes mentorship, fast delivery, and data-driven decision making, with opportunities to influence architecture and optimize performance while maintaining reliability across a broad set of