Overview
On Site
$130,000 - $210,000
Full Time
10% Travel
Skills
Big Data technologies
Cassandra
DynamoDB
BigTable
Kafka
Pub/Sub
LLM-based systems
vector databases
fraud/risk detection infrastructure
Job Details
Role Summary
This role focuses on developing fraud/risk detection infrastructure and scaling distributed systems. The engineer will ship features with urgency, help build real-time processing systems, and expand Clients platform to new industries and enterprise customers.
Why Join?
- YC-backed, Seed funded ($3.1M)
- 15x revenue growth in the past year
- Customers include Fortune 500 companies and top-tier unicorns
- Equity: Very generous and meaningful equity
Core Responsibilities
- Ship end-to-end features with ownership and urgency
- Scale infrastructure to billions of daily events and millions of users
- Develop distributed and real-time systems for fraud/risk use cases
- Build fundamentals for product scalability across industries
- Collaborate closely with engineering and product leaders
Must-Have Qualifications
- Expertise in distributed systems and real-time processing
- Proficiency with big data technologies (Cassandra, DynamoDB, BigTable, or other NoSQL)
- Experience with streaming technologies (Kafka, Pub/Sub, etc.)
- Familiarity with scaling vector databases and LLM-based systems
- Ability to own and deliver product features end-to-end
Preferred Qualifications
- Knowledge of rate-limiting infrastructure
- Experience in Kubernetes or containerized environments
- Experience in observability or data visualization products
- Growth-stage startup experience
- Strong credentials from top companies or top schools
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