[Job-2602] Node.js Developer, Campinas, Brazil (on-site)

CI&T

Campinas, SPPresencialTempo integralNao informado

AIAWSAzureGCPJavaScriptNode.js

Sobre a vaga

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

We are looking for a Node.JS Developer to join our team on an exciting Project for a major American investment client. This role will require you to work 100% onsite at our office in Campinas as part of a development squad, collaborating closely with the client team. As part of this project, we will be developing websites for clients in the financial market, offering a range of information and features for purchasing mutual funds, ETFs, retirement plans, bonds, and other financial products. Responsibilities: Being part of a team to build, enhance, and maintain applications. Following security and performance best practices. Troubleshoot and resolve technical issues and challenges Conduct code reviews You will have to be comfortable working in hybrid and distributed teams, especially in an environment with high exposure to the client. Requirements for this challenge: Solid experience at least with one Cloud Provider (AWS /Azure/ GCP). Solid experience in back-end development using Node. Experience with AWS Knowledge in design system, cache, and cryptograph. Willingness to work on a project including Java language. Comfort learning new frameworks. Experience with CI/CD pipelines. Solid experience in integrations. Have advanced English proficiency for conversation. Important: Availability to work at the Campinas base. #midsenior #LI-AG4

Sinais de relevancia

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