Backend Engineer, Marketplace
Mercor Inc
- San Francisco, California, United States
- San Francisco, California, United States
Über
The problems are technically demanding and tightly coupled to business outcomes: latency, reliability, throughput, and system quality all directly affect marketplace performance.
What You’ll Build
Backend services that power candidate-job matching, routing, and marketplace workflows
APIs and internal systems for search, eligibility, scoring, allocation, and fulfillment
Data models and system abstractions for a rapidly evolving labor marketplace
Infrastructure for real-time and asynchronous decisioning at high volume
Operational systems and tooling that keep product‑critical workflows reliable, observable, and easy to evolve
Example Problems
Build the systems that determine which candidates are eligible for which opportunities
Design matching and allocation infrastructure that balances speed, quality, and fill rate
Improve the performance and reliability of APIs serving marketplace decisions in real time
Develop workflow engines for onboarding, vetting, routing, and placement
Design backend abstractions that let product and ML teams iterate quickly without degrading system quality
What We’re Looking For
Track record of building and operating reliable backend systems in production
Strong judgment in system design, performance, reliability, and data modeling
Comfort working on high‑throughput APIs, distributed systems, and asynchronous workflows
Ability to translate product and marketplace requirements into clean technical systems
High engineering standards and a bias toward simple, durable abstractions
Nice to Have
Experience with search, recommendation, matching, scheduling, or marketplace systems
Experience supporting ML‑powered products or integrating model inference into production systems
Familiarity with event‑driven architecture, queues, caching, and observability tooling
Why This Role This role sits on a core decision layer of the product. Your work will directly shape how the marketplace operates: which opportunities get filled, how quickly hiring happens, and how reliably the system scales as volume and complexity increase.
Tech Stack Python, Go, Kafka, Postgres, Redis, Elasticsearch, Kubernetes, Terraform
Benefits
Generous equity grant vested over 4 years
A $10K housing bonus (if you live within 0.5 miles of our office)
A $1.5K monthly stipend for meals
Free Equinox membership
Health insurance
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Sprachkenntnisse
- English
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