Senior Backend Engineer

🔥 35 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

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Logo of Jeeves

Jeeves

51 - 200 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Jeeves is a financial platform offering streamlined solutions for global finance management. It allows companies to issue cards, send payments, and manage expenses through an all-in-one platform available in over 25 countries globally. By integrating various financial services, Jeeves increases efficiency and saves costs for businesses traditionally burdened by disjointed financial systems. With offerings such as international fund transfers, competitive FX rates, expense management, and direct accounting integrations, Jeeves enhances operational capabilities across multiple currencies and regions. Although not a bank, it partners with licensed banks and financial institutions to provide these services.

📋 Description

• Design, build, and maintain scalable, reliable backend services processing financial transactions for Jeeves customers across 20+ countries • Write clean, testable, production-quality code in Go, Python, or Node.js/TypeScript • Participate 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 PostgreSQL, MongoDB, and Redis schemas • Own backend features from scoping and technical design through deployment, monitoring, and iteration • Implement authentication, authorization, input validation, and data protection • Integrate LLM API calls such as OpenAI and Anthropic into backend services • Build safe pipelines for AI-generated outputs, including validation, fallbacks, and graceful degradation • Collaborate with AI and data science teams to integrate model outputs into backend APIs • Use GitHub Copilot, Claude, Cursor, and similar AI coding tools in daily development • Instrument services with structured logging, distributed tracing, and metrics • Participate in on-call rotation and respond to production incidents • Contribute to post-incident reviews, CI/CD improvements, testing infrastructure, and deployment practices • Collaborate with engineering, product, compliance, and data teams across regions and time zones • Contribute documentation, async design reviews, and pull request feedback • Bring regional perspective on LATAM customer and product needs

🎯 Requirements

• 5+ years of professional backend engineering experience building and operating production systems • Fluent in English for daily written and spoken work with global teams • 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, preferably PostgreSQL, including schema design, query optimization, and data modeling • Experience with AWS, GCP, or Azure; 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 integrating LLM API outputs into backend services and using AI coding assistants fluently • Preferred: experience in fintech, financial services, payments, or regulated industries • Preferred: familiarity with ledger systems, payment rails, KYC/AML, or PCI-DSS • Preferred: fluency in Spanish or Portuguese • Preferred: startup or high-growth scale-up experience • Preferred: multi-currency systems or cross-border payment processing experience • Preferred: Kafka, RabbitMQ, and event-driven architecture familiarity • Preferred: global work experience across multiple countries and regulatory environments

🏖️ Benefits

• Remote work arrangement • Opportunity to work on a global stablecoin-native banking platform • Steep learning curve and professional growth opportunity • Exposure to payments, cards, treasury, spend management, compliance, and AI-powered products • Collaboration with globally distributed engineering, product, compliance, and data teams

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