[Hiring] Staff Engineer @WEX

Role Description

As a Staff Software Engineer, you will be the primary architect and execution lead for leading the platform changes for the Digital Credit Application. We are pivoting from a legacy monolith to a high-performance, pluggable API ecosystem. Your mission is to:

• Decouple core adjudication logic.
• Enable rapid A/B testing of the customer journey.
• Lay the technical foundation for future AI-driven chat and automated decisioning experiences.

This is a high-impact role designed for a true "builder" who thrives on the duality of supporting a live production environment while aggressively migrating mission-critical services to a modern, microservices-based backbone. You will encounter varied customer scenarios where your out-of-the-box approach is a better fit than standard industry practices. We expect you to make a true difference for the customer, leveraging technology and AI to best serve and solve for good.

The AI Edge

We are a forward-thinking engineering org. You are expected to be an expert in leveraging AI Software Development Lifecycle (ADLC) tools (e.g., GitHub Copilot, Cursor, Amazon Q, LLM-based code gen and architecture agents) to:

• Accelerate migration.
• Write bulletproof tests.
• Automate documentation.

How you'll make an impact

Architectural Migration & Strategy

• Strangler Fig Migration: Lead the decoupling of core credit application logic out of the legacy monolith and into a scalable, cloud-native Java/Spring Boot microservices environment.
• Migration with Zero Downtime: Design and execute high-volume traffic migration strategies from legacy systems to new stacks seamlessly without disrupting live customers.
• Salesforce Proficiency: A significant portion of existing systems is embedded within various Salesforce capabilities throughout the application lifecycle. Proficiency in Salesforce is a strong advantage, as different integrations will require the new stack to support bidirectional data and state synchronization within the Salesforce ecosystem.

Pluggable Adjudication & API Ecosystem

• Modular Architecture: Design and implement a modular adjudication layer allowing the business to swap or update credit rules and third-party data providers without impacting core application flows.
• API-First Design: Build and maintain robust, versioned REST/gRPC APIs that support a multi-channel experience (Mobile, Web, and future AI Chat interfaces).
• A/B Strategy Enablement: Engineer backend infrastructure for dynamic routing and experimentation, allowing real-time testing of various application flows.

AI Readiness & Process Acceleration

• AI DLC Mastery: Champion the use of AI tools across the development lifecycle to write code faster, refactor legacy code into modern Java, and generate robust test suites.
• Data Science Partnership: Partner with Data Science teams to ensure data pipelines and backend schemas are optimized for LLM integration and real-time credit decisioning models.

Operational Excellence & Leadership

• Observability & CI/CD: Establish rigorous standards for CI/CD, observability (OpenTelemetry), and automated contract testing.
• Technical Mentorship: Provide guidance to mid-level and senior engineers, fostering a culture of high engineering standards, clean code, and AI-assisted productivity.

Qualifications

• 10+ Years of Engineering Excellence: Proven track record in backend architecture, specifically within Fintech, Lending, or Credit systems.
• Modern Java Stack: Expert-level proficiency in Java 17/21, Spring Boot 3.x, and Spring Cloud.
• Monolith-to-Distributed Migration: Significant experience extracting tightly coupled business logic from legacy backends into external, scalable cloud microservices (AWS).
• Complex Adjudication & Rules Engines: Experience building or implementing rules engines (e.g., Drools, Camunda, or custom JSON-logic) for automated decisioning.
• Event-Driven Design: Deep experience with Kafka or RabbitMQ for maintaining asynchronous data consistency between the new API layer and legacy systems of record during migration phases.
• Contract-First Development: Strict adherence to API contracts (OpenAPI/Swagger) to ensure seamless collaboration with frontend teams.
• AI & Modern Delivery Tools: Hands-on experience using AI coding assistants (Cursor, Copilot, etc.) to optimize workflows, refactor legacy code, and accelerate delivery.
• Leadership & Education: Strong analytical skills and a proven capability in resolving complex, cross-functional problems.
• Excellent written and verbal communication skills; ability to present complex technical concepts clearly to stakeholders.
• Bachelor’s degree in Computer Science or a related technical field.

Benefits

• Health, dental and vision insurances.
• Retirement savings plan.
• Paid time off.
• Health savings account.
• Flexible spending accounts.
• Life insurance.
• Disability insurance.
• Tuition reimbursement.
• And more.

Pay Range

$140,600.00 - $173,100.00