07 Nov
|
Jeeves
|
Winnipeg
Jeeves is the stablecoin-native banking platform for global enterprises. Thousands of companies across 35 countries run their corporate cards, payments, treasury and spend on one platform, with more than $5B in annualized volume, payouts to 190 countries, and one of the fastest-growing stablecoin payment networks in the world. BMW, H&M;, Lululemon, Burger King, Kavak and XP are among them, and more than 80% of customers use multiple Jeeves products.
Jeeves has raised more than $400 million in equity funding from Andreessen Horowitz, Y Combinator, CRV, Coinbase Ventures, GIC, AllianceBernstein, CoinFund and others.
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 full time remote position.
Backend Engineering Design, build, and maintain scalable, reliable backend services that process financial transactions and serve Jeeves customers across 20+ countriesWrite clean, testable, production-quality code in Go, Python, or Node.
Js/TypeScript; design inter-service communication using gRPC, message queues, and event-driven architecturesDesign and optimize relational and non-relational database schemas (PostgreSQL, MongoDB, Redis) for correctness, performance, and scaleOwn backend features end-to-end — from scoping and technical design through deployment, monitoring, and iterationImplement security best practices: authentication, authorization, input validation, and data protection across distributed servicesAI‑Assisted Feature Development 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-efficientBuild 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 resultsCollaborate with AI and data science teams to integrate model outputs into backend APIs — bridging experimental AI work and production systemsUse AI coding tools (GitHub Copilot, Claude, Cursor, etc.) Instrument services with structured logging, distributed tracing, and metrics for full operational visibilityParticipate in on‑call rotation; respond to production incidents and contribute to post‑incident reviewsContribute to CI/CD pipeline improvements, testing infrastructure, and deployment practicesCross‑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 requiresContribute to a globally distributed engineering culture through thorough documentation, async design reviews, and thoughtful pull request feedbackBring your regional perspective to product and engineering conversations — our LATAM customers have specific needs,
and engineers who understand those markets make our product betterRequirements 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.
Comfortable using AI tools as part of everyday engineering work — integrating LLM API outputs into backend services and using AI coding assistants fluently.
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 partnersPrior experience at a startup or high‑growth scale‑up, comfortable building in ambiguity without heavy process support.
Global work experience — prior roles at companies operating across multiple countries and regulatory environments.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. If you would like more information about how your data is processed, please contact us.
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