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
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.