Senior Full Stack Developer, Python, Node.js, React, AI

Job not on LinkedIn

šŸ•’ September 3

šŸ‡§šŸ‡· Brazil – Remote

ā° Full Time

🟠 Senior

šŸ§‘ā€šŸ’» Full-stack Engineer

šŸ‘» Ghost score 17%

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šŸ—£ļøšŸ‡§šŸ‡·šŸ‡µšŸ‡¹ Portuguese Required

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Logo of Sinqia

Sinqia

1001 - 5000 employees

Founded 1996

šŸ’¼ Consulting

šŸ’³ Fintech

šŸ¦ Banking

šŸ’° Post-IPO Secondary on 2015-05

Consulting • Fintech • Banking

Sinqia is a technology company focused on providing complete digital platforms for financial institutions and fintechs. Their solutions encompass core banking, custody management, digital onboarding, and regulatory compliance, facilitating the transformation and innovation within the financial services sector. With a commitment to accelerating financial innovation, Sinqia processes a significant volume of financial transactions daily, serving as a technological backbone for both traditional banks and emerging fintech startups.

šŸ“‹ Description

• Develop and maintain high-performance full-stack applications. • Build solutions focused on Artificial Intelligence and automation. • Develop APIs, microservices, and integration layers between systems. • Design and implement BFFs (Backend for Frontend). • Participate in technical discussions, architecture decisions, and the definition of development best practices. • Collaborate with cross-functional teams to create and evolve digital products. • Ensure code quality, scalability, security, and application performance. • Contribute to the adoption of new technologies and continuous improvements to the development environment.

šŸŽÆ Requirements

• Solid experience in full-stack software development. • Advanced knowledge of Python, particularly for applications related to AI, automation, and data processing. • Experience developing backend applications with Node.js. • Experience developing frontend applications with React. • Knowledge of Java for maintaining and enhancing systems. • Experience developing and consuming REST APIs. • Experience with distributed architectures, integrations, and software engineering best practices. • Knowledge of version control with Git. • Interest in working with modern technologies and willingness to learn new languages, frameworks, and tools. • Preferred qualifications: experience with Generative AI solutions; knowledge of LLMs, AI agents, and integrations with AI APIs; experience with cloud environments (AWS, Azure, or GCP); knowledge of containers and orchestration (Docker and Kubernetes); experience with microservices architecture; experience with CI/CD pipelines.

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