Lead SDE: Genealogy Platform & Big Data Analytics

Amazon

Bellevue (WA)

On-site

USD 144,000 - 194,000

Full time

46 hours ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off

Job summary

Amazon Fulfillment Technologies (AFT) seeks a skilled SDE II to lead our Genealogy platform development in Bellevue, WA. You will design and optimize high-volume inventory data storage and analytics, enabling real-time insights across the fulfillment network.

You will collaborate with engineers to define architecture, drive best practices, and mentor junior engineers while delivering scalable APIs and analytics tools for defect identification. Experience with big data, cloud, and GenAI is valued.

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
  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent

Responsibilities

  • Design, develop, test, and deploy scalable solution.
  • Collaborate with engineers to influence strategy and define the team’s roadmap.
  • Help coach and develop junior engineers.

Skills

Software development
System design
Programming

Education

Bachelor's degree in computer science or equivalent

Job description

Amazon Fulfillment Technologies (AFT) seeks a skilled SDE II to lead our Genealogy platform development in Bellevue, WA. You will design and optimize high-volume inventory data storage and analytics, enabling real-time insights across the fulfillment network.

You will collaborate with engineers to define architecture, drive best practices, and mentor junior engineers while delivering scalable APIs and analytics tools for defect identification. Experience with big data, cloud, and GenAI is valued.

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