We are seeking a highly skilled professional with 8 to 12 years of experience to join our IT Services division. This role is pivotal for bridging traditional enterprise engineering with cutting-edge artificial intelligence capabilities. The successful candidate will design, develop, and maintain robust, scalable applications that leverage AI concepts and seamless integration. Operating within a salary range of ₹18-22 LPA, this position demands a deep understanding of modern development lifecycles and the ability to drive innovation through cloud-native architectures and advanced coding practices.
Responsibilities
Architect and implement complex software solutions utilizing AI principles and integration frameworks to enhance application intelligence.
Develop and optimize backend systems using .NET, C#, and Python alongside Java and Spring Boot ecosystems.
Engineer scalable, cloud-native applications ensuring high availability and performance across distributed environments.
Design and maintain efficient CI/CD pipelines to streamline deployment processes and ensure code quality throughout the Software Development Life Cycle (SDLC).
Build responsive and dynamic user interfaces using modern front-end technologies such as React, Angular, or https://jobeax.com/link/tzGekrj9a8ToGEDv, supported by TypeScript and JavaScript.
Collaborate with cross-functional teams to define technical requirements and deliver enterprise-grade engineering solutions.
Continuously refine codebases to adhere to best practices in security, performance, and maintainability.
Requirements
Requirements:
Possess 8 to 12 years of professional experience in full-stack development within the IT Services sector.
Demonstrate strong proficiency in Java, Spring Boot, .NET, and C# for backend logic and service orchestration.
Exhibit solid expertise in front-end development with React, Angular, or https://jobeax.com/link/tzGekrj9a8ToGEDv, coupled with advanced knowledge of TypeScript and JavaScript.
Show proven capability in integrating AI concepts and models into existing software architectures.
Have hands-on experience with cloud-native development strategies and containerization technologies.
Be skilled in setting up and managing CI/CD pipelines to automate testing and deployment workflows.
Maintain a comprehensive understanding of the Software Development Life Cycle (SDLC) and enterprise engineering standards.
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