
Staff Engineer
Posted 8 hours ago

Posted 8 hours ago
This is a fully remote position, open to applicants in United States.
• Act as the lead architect and implementation head for modifications to the Digital Credit Application platform.
• Oversee the transition of essential credit application functionalities from a legacy monolithic system to scalable, cloud-native Java/Spring Boot microservices.
• Develop and execute migration strategies for high-volume traffic, ensuring zero disruption for existing customers.
• Facilitate bidirectional data and state synchronization with Salesforce integrations.
• Design and execute a modular adjudication layer to accommodate adjustable credit rules and third-party data providers.
• Create and sustain versioned REST/gRPC APIs for Mobile, Web, and prospective AI Chat interfaces.
• Construct backend infrastructure to enable dynamic routing and real-time A/B testing of application processes.
• Leverage AI tools throughout the development lifecycle to enhance coding, refactoring, testing, and documentation.
• Collaborate with Data Science teams on data pipelines and backend schemas for LLM integration and instantaneous credit decision-making.
• Set standards for CI/CD, OpenTelemetry observability, and automated contract testing.
• Guide mid-level and senior engineers while fostering high engineering standards, clean code practices, and AI-assisted productivity.
• Maintain a live production environment while transitioning mission-critical services to a microservices architecture.
• Over 10 years of engineering experience, particularly in backend architecture within Fintech, Lending, or Credit systems.
• Advanced proficiency in Java 17/21, Spring Boot 3.x, and Spring Cloud.
• Extensive experience in extracting tightly coupled business logic from legacy systems into scalable cloud microservices on AWS.
• Experience in building or implementing rules engines, such as Drools, Camunda, or custom JSON-logic.
• Profound knowledge of Kafka or RabbitMQ.
• Strict compliance with API contracts utilizing OpenAPI/Swagger.
• Practical experience with AI coding assistants like Cursor or Copilot.
• Strong analytical skills with the ability to resolve intricate, cross-functional issues.
• Exceptional written and verbal communication skills; capable of clearly presenting complex technical concepts to stakeholders.
• Bachelor’s degree in Computer Science or a related technical discipline.
• Proficiency in Salesforce is a significant advantage.
• Health, dental, and vision insurance.
• Retirement savings plan.
• Paid time off.
• Health savings account.
• Flexible spending accounts.
• Life insurance.
• Disability insurance.
• Tuition reimbursement.
• Eligibility for quarterly or annual bonuses for non-sales roles, based on applicable plans.
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