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Principal Backend Engineer
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Эта вакансия в архивеПосмотреть похожие вакансии ↓

Jeeves·Mexico·22 авг.

Principal Backend Engineer

🌍 УдалённоSeniorПолная занятость🌐 Глобал
52
Есть о чём спросить
Навык востребован (python). Но вилки нет, про деньги придётся договариваться с нуля.
Нажмите на сигнал, чтобы увидеть, на чём он основан

Наша компания

Jeeves is a groundbreaking financial operating system built for global businesses that provides corporate cards, cross-border payments, and spend management software within one unified platform. The company operates across 20+ countries including Brazil, Canada, Colombia, Mexico, the United Kingdom, across Europe, and the United States, and serves over 5,000 clients ranging from venture-backed startups to SMBs around the world. With a mission to empower businesses with more efficient and cost-effective financial solutions worldwide, Jeeves combines cutting-edge financial technology with except

О роли

Jeeves is looking for a Senior Backend Engineer to join our LATAM 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 wh

Чем предстоит заниматься

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
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

Наши требования

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
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
Fluency in both Spanish and Portuguese is a meaningful additional asset
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
Fluent in Spanish or Portuguese — required for collaboration with LATAM teammates, customers, and operational partners
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

Дополнительно

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
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

Технологии и навыки

engineer
nodejs
python
docker
aws
J
Jeeves
Mexico

ГрейдSenior
ЗанятостьПолная занятость
РегионМексика
ФорматУдалённо
ИсточникСкрыто
Опубликовано22 авг.

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