Software Developer

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October 29

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Neural Technologies

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Artificial Intelligence • Telecommunications • B2B

Neural Technologies is a global leader in providing AI-driven business solutions, specializing in revenue protection, data integration, and signaling solutions for Communication Service Providers and Mobile Money Service Providers. With over three decades of industry expertise, the company focuses on fraud management, revenue and business assurance, and credit risk management using cutting-edge AI and machine learning technologies. Neural Technologies is known for its adaptable, scalable solutions, helping enterprises protect and grow their revenue. Their offerings include streaming data analytics, complex event processing, and various integration services to unlock new business opportunities.

201 - 500 employees

Founded 1990

🤖 Artificial Intelligence

📡 Telecommunications

🤝 B2B

📋 Description

• Responsible for user requirement analysis and application design • Responsible for application development and report writing • Leading and assisting in system implementation and user testing • Review, prepare, and maintain technical documents such as acceptance test document, deployment guide, user guide, and operation manual • Analyze reported issues and provide effective solutions • Proactively assign, manage, and prioritize tasks to achieve business objectives

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related field (Master’s degree is a plus). • Minimum 3 years of professional experience in software development. • Strong proficiency in at least one programming language: Java, C#, Python, JavaScript/TypeScript, or Go. • Solid understanding of software architecture, OOP, design patterns, REST API, and databases (SQL & NoSQL) • Experience with modern frameworks such as Spring Boot, .NET Core, React, Angular, Maven , or Node.js. • Proficiency with Git and collaborative development workflows. • Strong problem-solving and communication skills. • Nice to Have: Experience in cloud platforms (AWS, GCP, Azure). • Knowledge of microservices, CI/CD pipelines, and containerization (Docker, Kubernetes). • Prior experience in leading small development teams or technical projects. • Contributions to open-source projects or a strong personal portfolio.