Hiring.Camp

Software Engineer, Marketplace

RFS Group

·

Jul 6, 2026

Salary
$130k – $500k
Workplace
Remote, Onsite
Type
Full-time
Department
Engineering
Visa
Not sponsored
Source
RecruiterFlow

Description

Who is Recruiting from Scratch: 
Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top-tier candidates who are not only highly skilled but also the right fit for the company’s culture and vision. Our mission is simple: place the best people in the right roles to drive long-term success for both clients and candidates. https://www.recruitingfromscratch.com/
 

Title of Role: Software Engineer – Marketplace (Backend Systems)
Location: San Francisco, CA
Company Stage of Funding: Series C (Profitable, $10B Valuation)
Office Type: Onsite (5 Days/Week)
Salary: $130,000 – $500,000 + Equity + Performance Bonus


Company Description

Our client is one of the fastest-growing AI infrastructure companies, building the marketplace that connects world-class experts with the leading AI labs and enterprises developing frontier AI systems. Their platform enables organizations to source, evaluate, and deploy specialized talent at scale, powering the next generation of artificial intelligence.

Now a profitable Series C company with significant growth and global operations, they are scaling the engineering organization to build the infrastructure that powers one of the largest expert marketplaces in AI.


What You Will Do

  • Design and build backend services that power marketplace matching, routing, and fulfillment
  • Develop scalable APIs supporting search, eligibility, scoring, allocation, and workflow automation
  • Build high-performance distributed systems capable of processing large volumes of real-time decisions
  • Design robust data models and abstractions for a rapidly evolving two-sided marketplace
  • Develop infrastructure supporting asynchronous workflows, event processing, and operational automation
  • Improve reliability, latency, scalability, and observability of critical production systems
  • Partner closely with Product, Operations, AI, and Infrastructure teams to deliver new platform capabilities
  • Build reusable backend architecture that enables rapid product iteration without sacrificing quality

Ideal Candidate Background

  • 3+ years of backend software engineering experience
  • Strong experience designing and operating production backend systems
  • Experience building distributed systems, high-throughput APIs, or infrastructure platforms
  • Strong systems design, data modeling, and performance optimization skills
  • Experience with Python, Go, Java, or similar backend languages
  • Strong understanding of databases, caching, queues, and asynchronous architectures
  • Excellent communication and ability to translate business requirements into scalable technical solutions
  • Comfortable working in fast-moving, high-growth environments

Preferred

  • Experience with marketplace, recommendation, matching, scheduling, or search systems
  • Experience supporting AI/ML-powered products or model inference infrastructure
  • Experience with Kafka, Redis, Elasticsearch, Kubernetes, or Terraform
  • Familiarity with event-driven architecture and distributed messaging systems
  • Experience building internal developer platforms or workflow engines
  • Startup or hypergrowth company experience
  • Strong ownership mentality with bias toward simple, maintainable system design

Compensation and Benefits

  • Competitive base salary: $130,000 – $500,000
  • Generous equity package
  • Bi-annual performance bonuses
  • Relocation assistance available
  • Housing stipend for employees living near the office
  • Monthly meal, wellness, and lifestyle stipends
  • Comprehensive medical, dental, and vision coverage
  • Opportunity to build core infrastructure at one of the world's fastest-growing AI companies

This is an exceptional opportunity for backend engineers who enjoy distributed systems, marketplace infrastructure, and large-scale platform engineering while working on products that directly power the AI economy.

Skills

PythonJavaKubernetesTerraformRedisElasticsearchGo

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