via Dice
$120K - 200K a year
Design and develop high-performance, real-time decision engines with a focus on low-latency, auditability, and distributed architecture.
Requires 8+ years of backend or platform engineering experience, deep Java expertise, experience with distributed systems, rules engines, and real-time decisioning, which your profile does not meet.
Job Description: • Become a part of our caring community and help us put health first • design, develop, and own a high-performance, real-time decision engine. • This stateless, deterministic platform delivers rapid, transparent, and reproducible recommendations across digital and assisted channels. • The engine evaluates contextual inputs, applies versioned business rules, incorporates model scores, and generates ranked, explainable decision responses, while execution and state management are handled by downstream systems. • Ideal for candidates passionate about low-latency Java services, robust API design, and building highly auditable systems. Requirements: • 8+ years of experience in backend or platform engineering, with at least 3 years in a senior or lead role. • Deep expertise in Java/JVM, including performance tuning, concurrency, garbage collection, and profiling; strong background in developing low-latency APIs (e.g., Spring Boot, Netty). • Proven experience with distributed systems, event-driven architectures (Kafka or similar), idempotent design patterns, and contract-first API development (OpenAPI). • Direct experience implementing rules engines with at least one of: Drools/DMN, IBM ODM, CEL, OPA/Rego, or a custom JVM DSL (including parser/AST/bytecode/interpreter development). • Demonstrated discipline in achieving determinism, versioning, explainability, and auditability. • Track record of delivering real-time decisioning, recommendation, or policy services at scale. • Experience designing DSLs (e.g., with ANTLR or custom parsing) or optimizing rules engines for performance and maintainability. • Experience integrating production model services (feature stores, model registries; A/B or shadow evaluation). • Background in regulated or mission-critical industries (healthcare, finance, telecommunications), with emphasis on separation of duties and strong data controls. • Proficiency with related stacks: Python for offline analysis. Benefits: • medical, dental and vision benefits • 401(k) retirement savings plan • time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave) • short-term and long-term disability • life insurance • many other opportunities
This job posting was last updated on 2/10/2026