SDE II: Building Connectivity & Network Automation

Amazon Data Services, Inc.

Seattle (WA)

On-site

USD 140,000 - 180,000

Full time

4 days ago
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Job summary

Amazon Data Services, Inc. is seeking a Network Development Engineer to design, deploy, and operate network infrastructure powering AWS services globally.

You will join a diverse team of engineers and work to automate operations and improve reliability at scale. In this role in Sydney, you’ll tackle complex networking challenges, collaborate across teams, and contribute to software systems that automate deployment, data paths, and metrics collection while delivering high performance for millions

Qualifications

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture experience.
  • 1+ years of software development experience with large-scale distributed systems using C#, C++, Java, or Perl.
  • 1+ years of Object Oriented Design experience.
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.

Responsibilities

  • Develop software systems and automate deployment for large-scale networks.
  • Leverage data structures, algorithms, and problem solving to implement features.
  • Follow best practices across the full development lifecycle, including reviews and version control.
  • Collaborate with technical teams and management to gather requirements and designs.

Skills

Software development
Object Oriented Design
Distributed systems design

Education

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

Tools

C#
C++
Java
Perl

Job description

Amazon Data Services, Inc. is seeking a Network Development Engineer to design, deploy, and operate network infrastructure powering AWS services globally.

You will join a diverse team of engineers and work to automate operations and improve reliability at scale. In this role in Sydney, you’ll tackle complex networking challenges, collaborate across teams, and contribute to software systems that automate deployment, data paths, and metrics collection while delivering high performance for millions

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