Staff Software Engineer

Quick Facts

• Role: Staff Software Engineer

Description

You will be the primary architect and execution lead for migrating a digital credit application platform from a legacy monolith to a cloud-native, pluggable microservices API ecosystem. The mission includes decoupling core adjudication logic, supporting zero-downtime high-volume migrations, and enabling modular, API-first adjudication with A/B experimentation. The role emphasizes using AI-enabled development lifecycle tools to accelerate migration while maintaining production-grade quality.

Responsibilities

• Lead Strangler Fig migration by extracting core credit adjudication logic into Java/Spring Boot microservices
• Design and execute zero-downtime traffic migration strategies for live customers
• Build a modular adjudication layer to swap/update credit rules and third-party data providers safely
• Develop robust, versioned REST and gRPC APIs for multi-channel experiences
• Engineer backend infrastructure to support dynamic routing and A/B testing of customer journeys
• Champion AI-assisted development: code generation, refactoring, strong test creation, and automated documentation
• Establish observability and CI/CD standards, including OpenTelemetry and automated contract testing
• Mentor engineers and drive clean code and high engineering standards
• Partner with Data Science on backend schemas/pipelines optimized for LLM integration and real-time credit decisioning models
• Support event-driven consistency during migration using Kafka or RabbitMQ

Requirements

• 10+ years of backend engineering excellence, with experience in fintech, lending, or credit systems
• Expert-level Java 17/21 and Spring Boot 3.x
• Experience extracting tightly coupled logic from legacy backends into scalable cloud microservices (AWS)
• Experience building or implementing rules engines (e.g., Drools, Camunda, or custom JSON-logic)
• Experience with event-driven design using Kafka or RabbitMQ
• Contract-first API development practices using OpenAPI/Swagger
• Strong AI DLC/tooling proficiency using AI coding assistants to accelerate delivery and improve testing
• Strong analytical, communication, and cross-functional problem-solving skills
• Bachelor’s degree in Computer Science or a related technical field

Benefits

• Comprehensive, market-competitive benefits including health, dental, and vision insurance, retirement savings plan, paid time off, HSA/FSA, life and disability insurance, and tuition reimbursement
• Base pay range: $140,600.00 - $173,100.00
• Additional bonus eligibility for non-sales roles (quarterly or annual) based on applicable plan