
Principal Backend Engineer
Posted May 21

Posted May 21
This is a fully remote position, open to applicants in Brazil.
β’ Develop, construct, and sustain scalable and dependable backend services that facilitate financial transactions and cater to Jeeves customers in over 20 countries.
β’ Produce clean, testable, and production-ready code using Go, Python, or Node.js/TypeScript; actively engage in design and code evaluations.
β’ Create and utilize RESTful and GraphQL APIs; design inter-service communication utilizing gRPC, message queues, and event-driven frameworks.
β’ Design and enhance relational and non-relational database schemas (PostgreSQL, MongoDB, Redis) ensuring accuracy, performance, and scalability.
β’ Take ownership of backend features from inception to completion β encompassing scoping, technical design, deployment, monitoring, and iterative improvements.
β’ Apply security best practices: managing authentication, authorization, input validation, and data protection across distributed services.
β’ Over 5 years of professional backend engineering experience in building and managing production systems.
β’ Proficient in English β professional fluency is essential for daily interactions with global teams in both written and spoken formats.
β’ Fluent in Spanish or Portuguese β necessary for collaboration with LATAM teammates, customers, and operational partners.
β’ Strong expertise in at least one backend programming language: Go, Python, or Node.js/TypeScript.
β’ Experience in designing and developing RESTful APIs, microservices, and event-driven backend architectures.
β’ Comprehensive understanding of relational databases (PostgreSQL preferred): including schema design, query optimization, and data modeling.
β’ Familiarity with cloud platforms (AWS, GCP, or Azure), containerization technologies (Docker, Kubernetes), and CI/CD pipelines.
β’ Proven capability to reliably integrate third-party APIs in production environments β encompassing error handling, retry mechanisms, and observability.
β’ Experience collaborating with globally distributed teams across various time zones and regions.
β’ Comfortable utilizing AI tools in daily engineering tasks β integrating LLM API outputs into backend services and effectively using AI coding assistants.
β’ Health insurance
β’ Remote work options
β’ Professional development
Confitec
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Anyone AI
FCamara Consulting & Training
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