Senior Backend Engineer

Jeeves is looking for a Senior Backend Engineer to join our engineering team. You will design and build the backend systems that power Jeeves's financial platform - working across payments, cards, spend management, and compliance infrastructure that serves businesses across the Americas and beyond. This is a backend engineering role at its core, we're looking for a strong backend engineer who knows how to work effectively with AI tools, understands where AI can accelerate development and product capabilities, and is comfortable integrating AI-powered features into production backend systems. Location: This is a full-time remote position. #LI-REMOTE What You'll Do: Backend Engineering • Design, build, and maintain scalable, reliable backend services that process financial transactions and serve Jeeves customers across 20+ countries. • Write clean, testable, production-quality code in Go, Python, or Node.js/TypeScript; participate actively in design and code reviews. • Build and consume RESTful and GraphQL APIs; design inter-service communication using gRPC, message queues, and event-driven architectures. • Design and optimize relational and non-relational database schemas (PostgreSQL, MongoDB, Redis) for correctness, performance, and scale. • Own backend features end-to-end - from scoping and technical design through deployment, monitoring, and iteration. • Implement security best practices: authentication, authorization, input validation, and data protection across distributed services. AI-Assisted Feature Development • Integrate LLM API calls (e.g., OpenAI, Anthropic) into backend services as product features - such as spend categorization, document parsing, or natural language workflows - ensuring those integrations are reliable, observable, and cost-efficient. • Build backend pipelines that consume AI-generated outputs safely: validate structured outputs, handle fallback scenarios, and design graceful degradation when AI services are unavailable or return low-confidence results. • Collaborate with AI and data science teams to integrate model outputs into backend APIs - bridging experimental AI work and production systems. • Use AI coding tools (GitHub Copilot, Claude, Cursor, etc.) fluently as part of your everyday development workflow. Reliability & Operations • Instrument services with structured logging, distributed tracing, and metrics for full operational visibility. • Participate in on-call rotation; respond to production incidents and contribute to post-incident reviews. • Contribute to CI/CD pipeline improvements, testing infrastructure, and deployment practices. Cross-Regional Collaboration • Work closely with engineering, product, compliance, and data teams across multiple time zones and regions - communicating in both English and Spanish or Portuguese as the situation requires. • Contribute to a globally distributed engineering culture through thorough documentation, async design reviews, and thoughtful pull request feedback. • Bring your regional perspective to product and engineering conversations - our LATAM customers have specific needs, and engineers who understand those markets make our product better. Requirements: Minimum Requirements • 5+ years of professional backend engineering experience building and operating production systems. • Fluent in English - professional fluency required for daily work with global teams in written and spoken contexts. • Strong proficiency in at least one backend language: Go, Python, or Node.js/TypeScript. • Experience designing and building RESTful APIs, microservices, and event-driven backend systems. • Solid understanding of relational databases (PostgreSQL preferred): schema design, query optimization, and data modeling. • Experience with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines. • Demonstrated ability to integrate third-party APIs reliably in production - including error handling, retry logic, and observability. • Experience working on globally distributed teams across time zones and regions. • Comfortable using AI tools as part of everyday engineering work - integrating LLM API outputs into backend services and using AI coding assistants fluently. Preferred Qualifications • Experience in fintech, financial services, payments, or a regulated industry - familiarity with ledger systems, payment rails, or financial compliance (KYC/AML, PCI-DSS) is a strong plus. • Fluent in Spanish or Portuguese - preferred for collaboration with LATAM teammates, customers, and operational partners. • Prior experience at a startup or high-growth scale-up, comfortable building in ambiguity without heavy process support. • Experience with multi-currency systems or cross-border payment processing. • Familiarity with message queue systems (Kafka, RabbitMQ) and event-driven architecture. • Global work experience - prior roles at companies operating across multiple countries and regulatory environments.