Staff Software Engineer, Caching

About Judi Health

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including:

• Judi Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers.
• Judi Health™, which offers full-service health benefit management solutions to employers, TPAs, and health plans.
• Judi®, the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform.

To learn more, visit www.judi.health.

Position Summary

Judi Health is building the technology infrastructure our nation needs to deliver the healthcare we deserve. The Architecture organization is responsible for the technical foundation the rest of the company builds on: the standards, patterns, and infrastructure that engineering teams use to move fast and build efficiently. The Caching team sits within Architecture's Core Platform function, owning the data access layer across the entire platform.

Position Responsibilities

• Design, build, and operate the caching infrastructure that serves as the data access layer for one of the most complex domain models in American healthcare.
• Own the full lifecycle of cache design, from eviction policy and service topology to invalidation architecture and operational recovery.
• Define and own the performance and correctness contracts between the caching layer and the services that depend on it.
• Drive adoption of caching best practices across engineering, eliminating anti-patterns, building shared libraries, and making cache-aware design the default.
• Diagnose and resolve correctness, performance, and stability issues in the caching layer, including leading incident response and post-incident reviews.
• Set the technical bar for the caching team through design review, code review, and direct mentorship of senior engineers.
• Participate in a 24/7 on-call rotation to provide continuous operational support and rapid incident response.

Required Qualifications

• 10+ years of production engineering experience, with deep specialization in distributed systems and caching infrastructure.
• Production experience operating distributed caching systems, such as Redis/Valkey or Memcached, at cloud scale, including cluster topology, eviction policy, replication, and failure recovery.
• Deep understanding of cache consistency and the failure modes that emerge at scale, such as thundering herd, hot key saturation, cache leasing, and dual-write consistency problems, and the judgment to choose the right invalidation strategy for a given workload.
• Fluency with cache replacement algorithms beyond LRU (e.g., LFU, ARC, and probabilistic eviction) and the tradeoffs of multi-tier architectures when an in-process layer belongs alongside a shared distributed cache.
• Experience in cloud-native environments where redundancy, resource efficiency, and resiliency are first-class requirements, not afterthoughts.
• Strong written and verbal communication — you produce architectural guidance that the broader engineering organization depends on.
• Comfortable operating with ambiguity — at this level, you will be handed problems, not plans, and are expected to identify the right approach and drive it from first principles to production.
• Strong experience supporting 24/7 production on-call rotations, including responding to alerts and resolving incidents outside of standard business hours.

Preferred Qualifications

• Experience in healthcare, pharmacy benefits, or other regulated industries.
• Working familiarity with probabilistic data structures and when they belong in a caching architecture over standard key-value patterns.
• Experience with caching in real-time transactional processing domains — payments, financial services, insurance, or healthcare — where data correctness and timeliness have measurable downstream consequences.
• Familiarity with database replication and change data capture as mechanisms for cache invalidation and maintaining consistency with the source of truth.
• Systems-level programming experience in Rust, Go, or C/C++, particularly for performance-critical infrastructure components.
• Proficiency in Python for infrastructure tooling, automation, or service development.
• Experience with AWS/GCP for managed caching, database, and streaming services.
• Open-source contributions, technical publications, or conference presentations in distributed systems or infrastructure.