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Senior Backend Engineer

Jeeves
Contract type
Ongoing
Work mode
100% remote
Experience
Senior · 5+ years

Job description

Key details

  • Design, build, and maintain scalable, reliable backend services that process financial transactions and serve 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 reliability, observability, and cost-efficiency
  • 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 everyday development workflow
  • 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 regional perspective to product and engineering conversations, especially for LATAM customers
  • Company mission
  • Information not specified

Primary stack

Core technologies

Python (Programming Language)DockerAWSGoTypeScriptGoogle Cloud Platform (GCP)AzureKubernetesNode.js

Benefits

  • Information not specified

Requirements & details

  • 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
  • Go, Python, Node.js, TypeScript, PostgreSQL, MongoDB, Redis, RESTful APIs, GraphQL, gRPC, AWS, GCP, Azure, Docker, Kubernetes, OpenAI, Anthropic, GitHub Copilot, Claude, Cursor
  • Node.js
  • Python (Programming Language)
  • Docker
  • AWS
  • Go
  • TypeScript
  • Google Cloud Platform (GCP)
  • Azure
  • Kubernetes

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