Senior Backend Engineer

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Brahma

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2022

₿ Cripto

💳 Fintech

🔌 API

💰 $4.206.900 Seed Round - Brahma em 2022-02

Crypto • Fintech • API

Brahma é uma camada de orquestração focada em desenvolvedores que conecta a lógica financeira onchain a sistemas de pagamento e liquidação offchain. Ela permite fluxos de capital programáveis ​​através de blockchains, estratégias e trilhos de pagamento tradicionais, fornecendo contas inteligentes, agentes automatizados e emissão de cartões programáveis ​​para que aplicativos possam transformar posições onchain em gastos no mundo real. A Brahma abstrai a infraestrutura e liquidação para desenvolvedores, permitindo que construam aplicativos onchain ou híbridos sem operar backends.

Descrição

• Design, build, and maintain high-performance RESTful APIs, microservices, and event-driven architectures for AI-powered media workflows. • Build robust data pipelines, database schemas, and caching layers (PostgreSQL, Redis) for handling large-scale media content. • Collaborate with ML researchers and engineers to integrate model inference and training workflows into production backend systems. • Implement application-level logging, metrics, and alerting; actively participate in performance profiling, root-cause analysis, and production incident resolution alongside our DevOps team. • Optimise server-side code, async queues, and database queries for low latency, high throughput, and high availability. • Partner with frontend/product teams to ensure API contracts make complex generative AI capabilities intuitive to consume.

🎯 Requisitos

• 5+ years of software engineering experience, with primary expertise in server-side Python development. • Proven track record building scalable RESTful APIs, microservices, and async/event-driven systems. • Strong relational database design (e.g., PostgreSQL) and caching/memory store experience (e.g., Redis). • Experience with production observability (logging, monitoring, alerting) and a disciplined approach to debugging, testing, and incident response. • Pragmatic experience using AI development tools (e.g., Copilot, Cursor, LLM APIs) to boost coding velocity while maintaining strict code quality, test coverage, and architectural rigor. • Understanding of core AI concepts (e.g., the operational differences, latency requirements, and resource profiles of model training vs. inference). • Rudimentary knowledge of modern JavaScript/TypeScript and web development concepts—enough to collaborate seamlessly with UI engineers or build internal prototypes.

🏖️ Benefícios

• Health insurance • Professional development opportunities