Backend Engineer--Full Time

Overview: The Backend Engineer on the AI Platform team plays a critical role in building and evolving backend systems that power internal products, customer-facing capabilities, AI-enabled workflows, and operational decision-making across the organization. This role is responsible for designing, building, testing, and operating reliable, scalable, and flexible services that support a wide range of internal and external use cases. This role contributes to the development and evolution of core backend and distributed systems capabilities, including service-oriented architectures, APIs, workflow orchestration, event-driven integrations, identity and permissions, operational tooling, and system interfaces that enable product, data, and AI teams to move quickly. Success requires strong technical depth, sound systems thinking, and the ability to build dependable solutions in a cloud-based, regulated, high-stakes environment. The Backend Engineer is expected to operate effectively in a modern engineering environment, using automation, observability, CI/CD, testing, and infrastructure-as-code practices to deploy, manage, and improve production services. In parallel, this individual will help enable downstream product capabilities, operational workflows, reporting, and AI systems by ensuring that backend services are trustworthy, maintainable, and performant. This is a fully remote position that offers a competitive salary range of $140,000 to $240,000 USD, plus an annual bonus. You'll also receive our excellent benefits package, which includes medical coverage starting on day one and a company-matched 401(k). Scale High-Performance Distributed Systems Design, build, and maintain production backend services for a wide variety of internal and external use cases, including product workflows, operational tools, integrations, APIs, and AI-enabled applications Develop well-structured APIs, domain models, service interfaces, and business logic that are easy to understand, test, operate, and extend Build scalable backend workflows that support complex business processes across loans, documents, accounts, users, permissions, vendors, and operational decision making Ensure backend services are reliable, testable, observable, and resilient as business needs, data volumes, and product surfaces evolve Contribute to service architectures that support transactional, operational, analytical, and AI-driven workloads across production environments Integrate with internal systems, third-party platforms, vendor APIs, databases, files, message queues, event streams, and cloud services Help define practical architecture standards that balance speed, simplicity, reliability, security, and long-term maintainability Cloud Deployment & Operations Deploy, operate, and improve backend services on major cloud platforms such as AWS, GCP, or Azure Use infrastructure-as-code, CI/CD, automated testing, and deployment automation to improve release speed, consistency, and reliability Implement authentication, authorization, permissions, audit logging, data protection, and secure service-to-service communication patterns Contribute to practices that support security, privacy, auditability, compliance, and risk management in a regulated environment Partner closely with Product, Engineering, Data, AI, Design, Operations, and business stakeholders to understand workflows, user needs, constraints, and delivery priorities Support downstream consumers of backend capabilities, including product teams, analysts, researchers, AI systems, operational users, and external integrations Communicate clearly with both technical and non-technical stakeholders about system behavior, tradeoffs, risks, dependencies, and delivery timelines Iteration & Continuous Improvement Continuously improve service performance, reliability, scalability, security, and developer productivity Operate with a strong bias toward action and iterative delivery, moving quickly from problem definition to implementation, validation, and improvement Help raise the bar on engineering quality through thoughtful design, code review, testing, documentation, mentorship, and operational discipline 3-5+ years of experience building and operating production-grade backend systems, APIs, services, or distributed applications ~ Strong software engineering fundamentals, including data structures, algorithms, system design, debugging, testing, and code quality ~ Experience designing, building, maintaining, and debugging services that run in production and support real users or business-critical workflows ~ Experience with modern backend programming languages such as Python, Go, C++, Rust, Java, Kotlin, Scala, TypeScript, or C# ~ Experience with API design, service boundaries, event-driven or asynchronous architectures, relational data stores, and non-relational data stores ~ Experience building transactional systems where correctness, idempotency, consistency