Staff Software Engineer, Performance

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

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, 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 (Use the "Apply for this Job" box below)..

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 Performance team sits within Architecture's Core Platform function, owning the platform's ability to understand, measure, and enforce how systems behave under load.

As a Staff Engineer in Architecture, your influence extends beyond what you ship directly. The standards you set, the patterns you establish, and the decisions you document become the reference point for how system performance is measured and managed across the organization.

Claims processing, prior authorization, and supporting data products drive highly complex, data-intensive workloads where decisions across the entire database stack – including schema design, database configuration, connection management, and storage architecture – directly determine the platform’s ability to deliver reliable performance under heavy read and write load. You will be directly responsible for identifying where the ceiling is, prioritizing changes that move it with minimal disruption, and driving deeper re-architecture where the problem demands it.

One of your first major initiatives will be a comprehensive diagnostic of the platform's database architecture, focused on the systems powering adjudication and claims processing – the most performance-sensitive workflows on the platform. This is a deeply embedded engagement; you will work directly within these domains to understand the query patterns, connection behavior, and cluster configuration shaping how the system performs under load.

From there, you will establish the benchmarking frameworks and performance baselines that give the engineering organization a reproducible way to evaluate parameter changes, query modifications, and database upgrades before they reach production.

In this role, you'll own the observability infrastructure that powers our engineering organization. You will:

• Apply deep PostgreSQL expertise to diagnose production performance problems by interpreting query plans, analyzing usage patterns, and evaluating how cluster configuration and architectural decisions shape system behavior at scale, then own the path from root cause to production remediation
• Evaluate and implement cluster topology changes and drive the architectural transformations, including the migration from synchronous to asynchronous I/O patterns, that take the platform's throughput to the next order of magnitude
• Build the benchmarking and regression-detection infrastructure that gives engineering teams a database performance signal, before changes reach production
• Define and own performance contracts for the database layer: latency targets, throughput expectations, and the SLA