Staff Software Engineer

Quick Facts

Staff Software Engineer leading architectural migration and execution for a digital credit application platform. You will transition a legacy monolith to a high-performance, pluggable microservices and API ecosystem while supporting a live production environment.

Description

Architect and lead the decoupling of core credit adjudication logic to enable A/B testing and multi-channel API experiences. Build a modular, API-first adjudication layer and migration infrastructure that enables zero-downtime cutovers and future AI-driven decisioning.

Responsibilities

• Lead strangler-fig migration by extracting credit application logic into scalable Java/Spring Boot microservices.
• Design and execute high-volume, zero-downtime traffic migrations from legacy systems to the new stack.
• Build a modular adjudication layer so credit rules and third-party data providers can be swapped without impacting core flows.
• Develop robust, versioned REST/gRPC APIs for Mobile, Web, and future AI Chat interfaces.
• Enable experimentation via backend infrastructure for dynamic routing and A/B testing.
• Accelerate development using AI Software Development Lifecycle (ADLC) tools to refactor legacy code, write tests, and automate documentation.
• Partner with Data Science to optimize data pipelines and backend schemas for LLM integration and real-time decisioning models.
• Establish CI/CD and observability standards, including OpenTelemetry and automated contract testing.
• Mentor mid-level and senior engineers and uphold high engineering standards and clean code.

Requirements

• 10+ years of backend engineering excellence in fintech, lending, or credit systems.
• Expert proficiency in Java 17/21, Spring Boot 3.x, and Spring Cloud.
• Experience migrating monolithic, tightly coupled business logic into AWS-based cloud microservices.
• Experience implementing rules engines such as Drools, Camunda, or custom JSON-logic for automated decisioning.
• Deep experience with event-driven design using Kafka or RabbitMQ.
• Contract-first development with OpenAPI/Swagger.
• Hands-on experience with CI/CD, observability with OpenTelemetry, and automated contract testing.
• Strong collaboration experience with Data Science on pipelines and schemas for LLM integration and real-time credit decisioning.
• Excellent written and verbal communication skills for stakeholder alignment.
• Bachelor’s degree in Computer Science or a related technical field.
• Hands-on use of AI coding assistants/ADLC tools (e.g., Cursor, GitHub Copilot).

Benefits

• Base pay range: $140,600.00–$173,100.00 (varies based on qualifications and proficiency).
• Comprehensive benefits including health, dental, and vision insurance.
• Retirement savings plan and paid time off.
• Health savings account and flexible spending accounts.
• Life insurance and disability insurance.
• Tuition reimbursement.
• Quarterly or annual bonus eligibility as applicable to role.