Data Scientist

Compunnel, Inc.; Louisville (KY); On-site; USD 110,000 - 140,000; Full time

Job summary

A tech solutions company is seeking an experienced Backend & Rules Engineer in Louisville, KY, to design and implement high-performance microservices for scoring and decision APIs. The ideal candidate will have extensive experience in backend development and microservices architecture. Responsibilities include developing clean code, integrating machine learning outputs, and optimizing systems. This role requires 8+ years of experience and strong skills in JSON/DSL formats. Competitive compensation offered.

Qualifications

• 8+ years of experience translating business policies into deterministic runtime logic.
• 5+ years of experience building unit and scenario tests for rule validation.
• 5+ years of experience in observability and debugging tooling for decision engines.

Responsibilities

• Design and develop microservices for scoring and real-time decision APIs.
• Integrate machine learning outputs and rule engines into backend systems.
• Optimize systems for low latency and high throughput.

Skills

Backend development

Microservices architecture

Analytical skills

Problem-solving skills

Tools

JSON

DSL formats

Job description

We are seeking an experienced Backend & Rules Engineer to design and implement high-performance microservices for scoring, arbitration, rules evaluation, and real-time decision APIs.

This role involves developing clean, production-grade code, integrating machine learning outputs and rule engines, and optimizing systems for low latency and high throughput.

The engineer will also implement eligibility logic, business constraints, suppression rules, and metadata-driven rules using JSON/DSL formats.

Key Responsibilities

• Design and develop microservices for scoring, arbitration, and real-time decision APIs.
• Integrate machine learning outputs and rule engines into backend systems.
• Implement eligibility logic, business constraints, and suppression rules.
• Develop metadata-driven rules using JSON/DSL formats.
• Optimize systems for low latency and high throughput.
• Build unit and scenario tests to validate rule correctness and safety.
• Contribute to observability and debugging tools for decision engines.

Required Qualifications

• 8+ years of experience translating business policies into deterministic runtime logic.
• 5+ years of experience building unit and scenario tests for rule validation.
• 5+ years of experience contributing to observability and debugging tooling for decision engines.
• Strong programming skills in backend development and microservices architecture.
• Familiarity with JSON/DSL formats for rule implementation.

Preferred Qualifications

• Experience integrating machine learning models into production systems.
• Knowledge of real-time decisioning and high-performance computing.
• Strong analytical and problem-solving skills.