• Desenvolver e evoluir soluções de crawling e coleta de dados em larga escala para a Plataforma Horus • Atuar na manutenção e melhoria de sistemas legados, com baixa documentação, realizando leitura de código e entendimento progressivo das regras de negócio • Implementar novas fontes de coleta e adaptar crawlers existentes frente a mudanças externas (layout, regras de acesso, performance) • Garantir a resiliência das soluções, lidando com falhas externas, instabilidades e bloqueios • Desenvolver serviços e integrações utilizando Java e Node.js • Trabalhar de forma proativa, identificando problemas, antecipando riscos e propondo melhorias técnicas • Colaborar com times de Dados, Produto e Segurança, assegurando uso correto e sustentável dos dados • Apoiar práticas de segurança da informação, incluindo ajustes a partir de Pentest (testes de invasão) • Escrever código claro, reutilizável e com foco em manutenibilidade e escalabilidade

• Architect and refine robust backend services to drive the capabilities of the Adversary Investigation module • Collaborate cross-functionally with Product, Design, and Frontend teams to create high-impact solutions for our customers • Maintain end-to-end ownership of the development cycle, from automating builds and testing to deployment and ongoing monitoring • Facilitate data-intensive user experiences by integrating both internal systems and external APIs • Engage in a fast-paced, iterative environment focused on technical excellence and proactive feedback loops

• Desenvolver, evoluir e sustentar soluções da Plataforma de Risco, responsável por Crédito e Antifraude em todo o ecossistema da companhia. • Atuar como Pessoa Desenvolvedora Full Stack, com foco principal em backend. • Trabalhar na manutenção e evolução de projetos existentes desenvolvidos em Python, garantindo estabilidade e continuidade das soluções. • Atuar no desenvolvimento de novos projetos em Node.js, participando das decisões técnicas e da implementação das soluções. • Desenvolver e manter APIs REST e integrações com sistemas internos e externos. • Atuar em sistemas críticos, assegurando performance, segurança, escalabilidade e confiabilidade. • Contribuir para decisões técnicas e arquiteturais, propondo soluções alinhadas às necessidades do negócio. • Atuar de forma colaborativa com áreas parceiras, apoiando a construção de soluções técnicas integradas ao contexto de crédito e risco. • Atuar como referência técnica do time, apoiando desenvolvedores menos experientes, promovendo boas práticas, revisões de código e troca de conhecimento.

Role Description The Backend Engineer on the AI Platform team plays a critical role in building and evolving the 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 - System interfaces 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. This is a fully remote position that offers a competitive salary range of $140,000 to $240,000, 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). Compensation may vary based on experience, location, and other job-related factors. Qualifications - 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, reconciliation, and auditability matter - Experience deploying and operating backend services on major cloud platforms such as AWS, GCP, or Azure - Strong SQL skills and comfort with application data modeling, schema evolution, migrations, query performance, and data access patterns - Experience building AI-powered capabilities on top of LLMs, including orchestration, retrieval, evaluation, tool integrations, and workflow automation - Comfort working with CI/CD, infrastructure-as-code, observability, incident response, and production operations for backend systems - Strong judgment in ambiguous environments where requirements evolve and systems must balance speed, reliability, security, and flexibility - Clear communication skills with both technical and non-technical teammates Requirements - 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 - Design patterns for service boundaries, idempotency, consistency, retries, failure handling, schema evolution, versioning, and backward compatibility - Help define practical architecture standards that balance speed, simplicity, reliability, security, and long-term maintainability - 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 - Monitor production services using logging, tracing, metrics, alerting, and observability tools to proactively identify and resolve issues - Support secure, resilient, and cost-conscious operation of cloud-based backend infrastructure and application services - Build systems with strong operational discipline, including attention to latency, availability, scalability, correctness, incident response, and production support - Implement authentication, authorization, permissions, audit logging, data protection, and secure service-to-service communication patterns - Establish and maintain standards for API documentation, service ownership, runbooks, operational metrics, change management, and production readiness - 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 - Translate business and operational requirements into clean, scalable, maintainable, and secure backend solutions - 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 - Continuously improve service performance, reliability, scalability, security, and developer productivity - Identify opportunities to simplify architecture, reduce operational toil, improve shared platform leverage, and make systems easier to reason about - 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 Benefits - Competitive salary range of $140,000 to $240,000 - Annual bonus - Medical coverage starting on day one - Company-matched 401(k) Company Description Bayview is an Equal Employment Opportunity employer. All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.