Senior Software Engineer, GOAT

$125.2-184k

Salary is dependent on location

Kafka

Elasticsearch

Ruby on Rails

DynamoDB

Datadog

Senior and Expert level

Remote from US

Marketplace for authentic streetwear

Open for applications

Marketplace for authentic streetwear

501-1000 employees

B2CMarketplaceFashionConsumer GoodseCommerce

Open for applications

$125.2-184k

Salary is dependent on location

Kafka

Elasticsearch

Ruby on Rails

DynamoDB

Datadog

Senior and Expert level

Remote from US

501-1000 employees

B2CMarketplaceFashionConsumer GoodseCommerce

Company mission

To bring the world’s greatest products together from the past, present and future, while providing a premier end-to-end customer experience with a point of view on culture and style.

Job

Company

Role

Who you are

5+ years of backend software engineering experience, with strong proficiency in Go and/or Ruby on Rails
Experience building and operating event-driven systems (SQS, Kafka, or similar). You understand retry strategies, dead-letter queues, and eventual consistency tradeoffs
Proficiency with gRPC / Protocol Buffers for service-to-service communication
Hands-on experience with DynamoDB or similar NoSQL databases (single-table design, GSI patterns, batch operations)
Strong relational database experience (PostgreSQL)
Fluency with observability platforms (Honeycomb, Datadog, or similar) for debugging distributed, asynchronous services in production
E-commerce or marketplace platform experience
Bias towards action: you pick up ambiguous problems and drive them forward without waiting for direction
Curiosity: learning new tech is invigorating. You stay up to date with the latest because it's fascinating. You may casually read source code from open source or other groups in your company

Desirable

Pricing, fintech, or trading systems experience — backtesting, algorithmic pricing, price constraints
Search infrastructure experience (OpenSearch, Elasticsearch, Algolia)
Experience consuming ML model outputs in production services
Comfort with AI-assisted development workflows (Claude Code, Cursor, Copilot)

What the job involves

Design, build, and operate Go microservices that power seller listings, pricing, payments, and fulfillment across a distributed, event-driven architecture
Own features end-to-end: from technical design to deployment, monitoring, and iteration
Debug and resolve production issues across asynchronous, multi-service workflows using distributed tracing and observability tooling
Work across team boundaries: our projects regularly span catalog, consumer, pricing, and fulfillment pods. You must have clear communication and coordination abilities
Contribute to technical design decisions, code reviews, and architecture documentation that shapes how the seller platform evolves

Our take

GOAT is a resale marketplace built around one core promise: if you buy it there, it's real. Best known for sneakers, the company helped pioneer the "ship-to-verify" model, where sellers send items to GOAT first for authentication before they ever reach the buyer. In a market driven by hype and scarcity, that extra step has become a major trust signal, especially for high-value, hard-to-find pieces.

Alongside human authenticators, the company has invested heavily into machine learning - reportedly using tools like NVIDIA's deep learning tech - to improve speed and accuracy at scale. At the same time it hasn't stayed confined to sneakers. By acquiring Flight Club and Grailed, GOAT has expanded into physical retail and broader streetwear, giving it multiple ways to reach buyers and sellers.

Now GOAT sits in a competitive space alongside platforms like StockX, but its positioning feels slightly different. Think less transactional exchange, more curated marketplace with a strong brand identity. As resale continues to grow globally, GOAT's challenge will be maintaining that trust and curation as scale.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

46% employee growth in 12 months

Glassdoor (3.5)

Trustpilot (3.9)

Company

Funding (last 2 of 9 rounds)

Jun 2021

$195m

SERIES F

Sep 2020

$100m

SERIES E

Total funding: $492.8m

Company HQ

Jefferson Park, Los Angeles, CA

Leadership

Eddy Lu

(Co-Founder & CEO)

Eddy graduated from the University of California, Berkeley with a degree in Computer Science. Prior to co-founding GOAT in 2010, he was the owner of Bear Papas, an Equity Researcher at Lehman Brothers, and a Consultant at Deloitte.

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