Senior Scalability Engineer - Caching & Performance Optimization

About Judi Health

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

• Capital 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, and
• Judi®, the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform.

Together with our clients, we’re rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health.

Location: Remote 

Position Summary: 

Join our Scalability team as a Senior Scalability Engineer focused on caching infrastructure and performance optimization. In this role, you will own the architecture, rollout, and continuous improvement of caching solutions across Judi Health's platform. You'll combine hands-on development of shared caching libraries with deep performance analysis to identify and eliminate bottlenecks across our systems. Working directly with clients and cross-functional teams, you'll design caching strategies that directly impact application performance and infrastructure costs while establishing performance standards that scale with our rapidly growing platform. 

Position Responsibilities: 

In this role, you'll provide technical leadership while delivering hands-on solutions for high-impact performance challenges. You will: 

• Own caching infrastructure: Design, implement, and maintain caching architecture using Valkey/Redis (ElastiCache) for high-throughput healthcare applications processing millions of transactions per day. 
• Build shared libraries: Develop and evolve caching libraries and patterns used across multiple engineering teams, establishing best practices for cache key design, invalidation strategies, and performance monitoring. 
• Partner with engineering teams: Work directly with product teams to design and implement caching solutions tailored to their specific use cases, providing technical guidance and hands-on support during implementation.  
• Drive performance optimization: Conduct deep performance analysis using profiling tools to identify bottlenecks beyond caching—database queries, application code, infrastructure—and deliver measurable improvements. 
• Establish performance standards: Define performance benchmarks, implement monitoring and alerting, and help teams measure the impact of optimizations through data-driven analysis.  
• Contribute to observability: Enhance observability infrastructure (LGTM stack) to track cache hit rates, latency patterns, and system performance metrics across the platform.  
• Demonstrate technical leadership: Mentor engineers on performance best practices, lead architecture reviews, and represent the Scalability team in cross-functional planning discussions.
• Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance. 

Required Qualifications: 

• 10+ years of software engineering experience with demonstrated progression into technical leadership roles. 
• 3+ years of experience leading technical initiatives, mentoring engineers, or serving as a subject matter expert on complex systems. 
• Strong expertise in Python (Flask/SQLAlchemy) for production applications. 
• Deep PostgreSQL knowledge: Advanced query optimization, indexing strategies, triggered, stored procedures, plan analysis, and experience with replication and clustering.  
• Production caching experience: Proven track record designing and implementing caching strategies at scale using Redis, Valkey, Memcached, or similar technologies. 
• Performance optimization expertise: Demonstrated ability to profile applications, identify bottlenecks, and deliver measurable performance improvements (latency reduction, throughput gains, cost savings). 
• AWS experience: Production experience with Aurora RDS, Lambda, ElastiCache, EC2, ECS, and S3. 
• Systems thinking: Ability to analyze performance across the full stack — application, database, caching, infrastructure — and make architectural tradeoffs. 
• Collaboration and communication: Strong written