Software Engineer, Scale Advertising Systems (RSUs)

Amazon Inc.

Denver (CO)

On-site

USD 144,000 - 194,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon.com Services LLC's Advertising team is seeking a Software Development Engineer for the Demand Side Platform to design, build, and maintain large-scale distributed systems powering Amazon's advertising offerings.

You will decompose complex problems, collaborate with product managers, and deliver high-quality features with strong computer science fundamentals and practical experience in large systems and ML infrastructure.

Qualifications

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience programming with at least one software programming language

Responsibilities

  • Design, develop, test, deploy, deliver, and maintain large-scale, highly distributed systems that are core to Amazon’s Advertising stack.
  • Have the opportunity to grow and broaden your technical skills as you work in an environment that thrives on creativity, experimentation, and product innovation.
  • Functionally decompose complex problems into simple, straight-forward solutions.
  • Brainstorm with product management and partner teams about new ideas, technical design and project plans; make data-driven decisions to inform product prioritization.
  • Drive mission critical projects, work with senior and principal engineers and mentor junior level engineers.

Skills

Software development
System design
Programming languages

Education

Bachelor's degree in computer science or equivalent

Job description

Amazon.com Services LLC's Advertising team is seeking a Software Development Engineer for the Demand Side Platform to design, build, and maintain large-scale distributed systems powering Amazon's advertising offerings.

You will decompose complex problems, collaborate with product managers, and deliver high-quality features with strong computer science fundamentals and practical experience in large systems and ML infrastructure.

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