Backend Engineer

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ProNexus

SiteLinkedInTodas as Vagas

2 - 10 funcionários

💼 Consultoria

🏪 Marketplace

🤝 B2B

Consulting • Marketplace • B2B

O ProNexus é uma plataforma que conecta profissionais qualificados a oportunidades de consultoria remuneradas—pesquisas, chamadas de consultoria e projetos de consultoria—com os principais investidores e equipes de estratégia. Os especialistas criam perfis, são correspondidos a projetos relevantes, compartilham insights de forma confidencial e recebem pagamentos rápidos (geralmente mais de $200 por hora). O serviço enfatiza a correspondência personalizada, participação privada e compensação rápida, direcionando-se a profissionais experientes em setores como biotecnologia e finanças. O site orienta os especialistas através do registro, correspondência, participação e pagamento, além de oferecer FAQs e políticas legais.

Descrição

• Design, build, and maintain production backend services using Python • Develop APIs that support customer-facing applications and AI workflows • Design scalable relational data models using PostgreSQL • Build integrations with model providers, customer systems, and third-party platforms • Develop systems for asynchronous jobs, event processing, and long-running AI workflows • Deploy and operate services using AWS • Debug production issues across application, data, model, and infrastructure layers • Help shape backend architecture and engineering practices as the company grows

🎯 Requisitos

• Approximately 2–9 years of professional software engineering experience • Strong professional experience with Python • Experience designing and operating production APIs or backend services • Strong understanding of relational databases, SQL, and data modeling • Experience with PostgreSQL or a comparable production database • Familiarity with AWS, GCP, or another major cloud platform • Understanding of application security, authentication, and authorization • Experience debugging and operating systems in production • Ability to independently own technical projects from design through deployment • Comfort making pragmatic engineering decisions in an early-stage environment • Strong communication and cross-functional collaboration skills • Nice to have (not required) • Experience building AI, LLM, agent, or machine-learning infrastructure • Experience integrating OpenAI, Anthropic, or other model providers • Familiarity with LLM evaluation, retrieval, embeddings, or vector databases • Experience with Docker, Kubernetes, Terraform, or CI/CD systems • Experience with Redis, Kafka, queues, or event-driven architectures • Experience building multi-tenant SaaS products • Previous experience at an early-stage startup • Experience with data-intensive or distributed systems