# Senior Backend Engineer

**Company**: Jeeves
**Location**: Canada
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.lever.co/tryjeeves/5bd1a914-2832-4641-b50f-f3f40d69acfd?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2e2a6847-7dc

## Description

Jeeves is looking for a Senior Backend Engineer to join their 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.

## Responsibilities

### 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.

## Skills

### Required
- Go
- Python
- Node.js/TypeScript
- PostgreSQL
- MongoDB
- Redis
- AWS
- GCP
- Azure
- Docker
- Kubernetes
- English

### Nice to have
- Spanish
- Portuguese
- fintech
- financial services
- payments
- regulated industry
- KYC/AML
- PCI-DSS
- multi-currency systems
- cross-border payment processing

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Source: [Apply at jobs.lever.co](https://jobs.lever.co/tryjeeves/5bd1a914-2832-4641-b50f-f3f40d69acfd?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)