Senior Backend Engineer

🕒 3 days ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

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This company has sponsored H1B visas in the past.

👻 Ghost score 22%

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Jeeves

WebsiteLinkedInAll Job Openings

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 for correctness, performance, and scale • Own backend features end-to-end from scoping and technical design through deployment, monitoring, and iteration • Implement authentication, authorization, input validation, and data protection across distributed services • Integrate LLM API calls such as OpenAI and Anthropic into backend services as reliable, observable, cost-efficient product features • Build safe backend 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 AI coding tools such as GitHub Copilot, Claude, and Cursor in daily development • Instrument services with structured logging, distributed tracing, and metrics • Participate in on-call rotation, respond to production incidents, and contribute to post-incident reviews • Improve CI/CD pipelines, testing infrastructure, and deployment practices • Collaborate with engineering, product, compliance, and data teams across time zones and regions • Contribute documentation, async design reviews, and pull request feedback • Bring regional LATAM customer perspectives to product and engineering discussions

🎯 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: experience in fintech, financial services, payments, or a regulated industry; familiarity with ledger systems, payment rails, or financial compliance (KYC/AML, PCI-DSS) • Preferred: fluent in Spanish or Portuguese • Preferred: prior experience at a startup or high-growth scale-up • Preferred: experience with multi-currency systems or cross-border payment processing • Preferred: familiarity with message queue systems such as Kafka or RabbitMQ and event-driven architecture • Preferred: global work experience at companies operating across multiple countries and regulatory environments

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