Automated Decisioning Engineer

Soledad Data Solutions; California (MO); On-site; USD 120,000 - 160,000; Full time

Job summary

Soledad Data Solutions in California is seeking an Automated Decisioning Engineer. The role involves designing and building systems to produce swift, defensible decisions using model outputs and rules. Ideal candidates have over 5 years in backend engineering with strong skills in low-latency and high-availability services, and knowledge of workflow orchestration tools like Drools or Airflow. This position offers the chance to work on impactful projects in a dynamic, regulated environment.

Qualifications

• 5+ years of experience in backend or platform engineering, with at least 2 in ML-adjacent systems.
• Strong systems design skills, having built low-latency, high-availability services.
• Experience with distributed systems and rules engines.

Responsibilities

• Architect decisioning pipelines that integrate model inference, rules engines, and human review.
• Build APIs and event-driven services that adhere to latency and reliability SLAs.
• Implement audit trails, decision explanations, and overrides.

Skills

Backend or platform engineering

Systems design

Knowledge of rules engines

Distributed systems concepts

Written communication

Tools

Drools

OpenL Tablets

Temporal

Cadence

Airflow

Job description

Automated Decisioning Engineer

About this role

You will design and build the systems that take a raw input — a transaction, an application, a customer signal — and produce a defensible decision in milliseconds. You will balance model outputs, deterministic rules, regulatory constraints, and human review queues into one coherent pipeline.

What you will do

• Architect decisioning pipelines that combine model inference, rules engines, and human review.
• Build APIs and event‑driven services that meet strict latency and reliability SLAs.
• Implement audit trails, decision explanations, and override mechanisms.
• Partner with research to translate model outputs into customer‑impacting decisions.
• Drive design reviews, on‑call quality, and post‑mortems for decisioning incidents.

What we are looking for

• 5+ years backend or platform engineering, with at least 2 in ML‑adjacent systems.
• Strong systems design skills — you have built low‑latency, high‑availability services.
• Working knowledge of rules engines (Drools, OpenL Tablets) or workflow orchestration (Temporal, Cadence, Airflow).
• Comfort with distributed systems concepts (idempotency, exactly‑once, backpressure).
• Excellent written communication — your design docs make decisions easier.

Nice to have

• Experience in regulated industries (financial services, healthcare, insurance).
• Hands‑on with policy‑as‑code or formal verification tooling.