Hybrid Senior Software Engineer, Logistics Platform

Whatnot

United States

Hybrid

USD 170,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Flexible Time off
Health Insurance
Work From Home
Care benefits
401k / Pension
Dogfood allowance
Parental Leave

Job summary

Whatnot is seeking a Senior Software Engineer for the Logistics Platform to build trustworthy, scalable backend systems powering shipping data, state normalization, and operational surfaces used across teams. You’ll shape buyer/seller experiences by improving data quality and platform reliability, while collaborating with Product, Data Science, CX, Ops, and Finance.

You’ll influence decisions through strong systems design, observability, and thoughtful use of AI to enhance engineering rigor

Qualifications

  • Experience building backend/platform systems in production at senior scope.
  • Ability to connect technical work to user impact and business outcomes.
  • Familiarity with complex marketplace or logistics-related systems.

Responsibilities

  • Build and improve source-of-truth systems, APIs, and internal interfaces used by logistics workflows.
  • Own backend work across data quality, shipment state normalization, observability, and debugging surfaces.
  • Collaborate with Product, Data Science, CX, Ops, Trust, and Finance to solve real-world logistics problems.
  • Improve data correctness, timeliness, and usability powering support and operations.
  • Create tooling and monitoring to detect problems early and reach truth faster.
  • Apply AI thoughtfully to improve engineering quality while maintaining verification.

Skills

Backend systems
Platform ownership
Data quality
Observability
Cross-functional collaboration
AI integration
Problem solving

Job description

Whatnot is seeking a Senior Software Engineer for the Logistics Platform to build trustworthy, scalable backend systems powering shipping data, state normalization, and operational surfaces used across teams. You’ll shape buyer/seller experiences by improving data quality and platform reliability, while collaborating with Product, Data Science, CX, Ops, and Finance.

You’ll influence decisions through strong systems design, observability, and thoughtful use of AI to enhance engineering rigor

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