Software Engineer, Platform
Builds secure, scalable backend systems for contracts, payouts, fraud detection, and identity/access management on Mercor's AI platform. Requires 4+ years experience with production systems at scale and strong ownership.
Backend Engineer, Marketplace
Builds backend systems for marketplace matching, search, allocation, and workflows using Python/Go. Requires experience with reliable high-throughput APIs, distributed systems, and data modeling to optimize fill rates and performance.
130k – 500kSan Francisco, CANew York, NYBackend EngineeringOnsite
About the role
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
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
Skills
PythonGoKafkaPostgresRedisElasticsearchKubernetesTerraformAPIsDistributed Systems
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