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.