Senior Software Engineer II — Forecasting & Microservices

Amazon

New York (NY)

On-site

USD 158,000 - 214,000

Full time

9 days ago
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Benefits offered by this job

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

Job summary

Amazon Ads is seeking an experienced software engineer to design scalable APIs and productionize forecasting models for advertising customers. You will build data pipelines on EMR, Spark, and S3, collaborating with scientists and product teams to deliver high-throughput, reliable systems.

The role emphasizes mentoring peers, contributing to technical roadmaps, and reducing tech debt while maintaining strong operational discipline.

Qualifications

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

Responsibilities

  • Design and implement scalable APIs and microservices for real-time forecasting and advertising.
  • Build and maintain backend data pipelines on EMR, Spark, and S3 for petabyte-scale datasets.
  • Collaborate with scientists and product teams to productionize forecasting models and algorithms.
  • Apply AI-driven approaches to accelerate platform upgrades and reduce tech debt.
  • Mentor engineers through code reviews, contribute to roadmaps, and document systems.

Skills

Software development experience
Object Oriented Design
C#
C++
Java
Perl

Education

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

Tools

EMR
Spark
S3

Job description

Amazon Ads is seeking an experienced software engineer to design scalable APIs and productionize forecasting models for advertising customers. You will build data pipelines on EMR, Spark, and S3, collaborating with scientists and product teams to deliver high-throughput, reliable systems.

The role emphasizes mentoring peers, contributing to technical roadmaps, and reducing tech debt while maintaining strong operational discipline.

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