Staff Engineer

Overview

Staff Software Engineer leading the architecture and execution of platform changes for the Digital Credit Application, migrating from a legacy monolith to a pluggable, API-driven microservices ecosystem.

What you'll do

• Lead the strangler fig decoupling of core credit application logic out of the legacy monolith into a scalable, cloud-native Java/Spring Boot microservices environment.
• Design and execute high-volume traffic migration strategies from legacy systems to new stacks with zero downtime for live customers.
• Support bidirectional data and state synchronization between the new stack and the Salesforce ecosystem.
• Design and implement a modular adjudication layer that lets the business swap or update credit rules and third-party data providers without impacting core application flows.
• Build and maintain robust, versioned REST/gRPC APIs supporting Mobile, Web and future AI Chat interfaces.
• Engineer backend infrastructure for dynamic routing and experimentation to enable real-time A/B testing of application flows.
• 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.
• Partner with Data Science teams to optimize data pipelines and backend schemas for LLM integration and real-time credit decisioning models.
• Establish standards for CI/CD, observability (OpenTelemetry), and automated contract testing.
• Provide technical mentorship to mid-level and senior engineers.

What you'll need

• 10+ years of engineering experience with a proven track record in backend architecture, specifically within Fintech, Lending, or Credit systems.
• Expert-level proficiency in Java 17/21, Spring Boot 3.x, and Spring Cloud.
• Significant experience extracting tightly coupled business logic from legacy backends into external, scalable cloud microservices (AWS).
• Experience building or implementing rules engines (e.g., Drools, Camunda, or custom JSON-logic) for automated decisioning.
• Deep experience with Kafka or RabbitMQ for maintaining asynchronous data consistency between the new API layer and legacy systems of record during migration phases.
• Strict adherence to API contracts (OpenAPI/Swagger) to ensure seamless collaboration with frontend teams.
• Hands-on experience using AI coding assistants (Cursor, Copilot, etc.) to optimize workflows, refactor legacy code, and accelerate delivery.
• 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.

Nice to have

• Proficiency in Salesforce is a strong advantage.
• Expertise 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, and automate documentation.

Details

• Work mode: Remote (US).
• Base pay range: $140,600.00 - $173,100.00. Actual pay varies based on qualifications, skills, competencies, and proficiency.
• Eligible for a quarterly or annual bonus based on role and applicable plan.