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Java Full Stack Developer
ICT
Company shared salary
NA
Market rate
₹50,000–₹150,000/mo (₹600,000–₹1,800,000/yr)
Based on similar roles (title + domain + location).
Responsibilities
- ● Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills : Java Full Stack Development Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Title: Mid-Level Application Architect / Senior Developer We are seeking a dynamic Mid-Level Application Architects / Senior Developers with a strong focus on hands-on development and practical solution design. The ideal candidate will have robust experience in Java and/or .NET, and Python, with working knowledge of front-end technologies like React or Angular, and a foundational understanding of AI integration. This role emphasizes active coding, solution implementation, and collaboration across application development, infrastructure, and integration in multi-cloud environments (AWS, Azure, Google Cloud) to deliver scalable, secure enterprise applications. Key Responsibilities:
- ● Hands-On Coding: Actively develop, test, and deploy application-heavy solutions, write clean, efficient code in any of the programming language like Java, .NET, and Python for backend systems, and contributing to front-end development using React or Angular.
- ● Solution Design: Partner with senior architects to design scalable, cloud-native application architectures, focusing on performance, maintainability, and integration in multi-cloud environments.
- ● Integration Development: Build and maintain integrations using APIs, microservices, and event-driven patterns (e.g., REST, GraphQL, Kafka, or message queues).
- ● Multi-Cloud Implementation: Develop and deploy applications across AWS, Azure, and Google Cloud, ensuring portability and optimization for cost and performance.
- ● AI Integration: Implement practical AI features (e.g., automation, basic analytics) using cloud-based AI services or frameworks like TensorFlow or PyTorch.
- ● Infrastructure Support: Collaborate with DevOps teams to implement containerized solutions (Docker, Kubernetes) and CI/CD pipelines, with hands-on use of IaC tools like Terraform or CloudFormation.
- ● Performance & Security Optimization: Ensure applications meet performance and security standards through code reviews, testing, and adherence to best practices.
- ● Team Collaboration: Work closely with developers, product managers, and infrastructure teams to translate requirements into technical implementations, providing hands-on support and mentorship.
- ● Continuous Learning: Stay updated on full-stack development trends, cloud technologies, and AI advancements to contribute to innovative solutions. Qualifications & Skills:
- ● Demonstrated experience building and deploying solutions in multi-cloud environments (AWS, Azure, Google Cloud).
- ● Strong proficiency in Java, .NET, and Python for backend development.
- ● Hands-on experience with front-end frameworks like React, Angular, or similar.
- ● Basic exposure to AI/ML integration, such as using cloud AI services (e.g., AWS SageMaker, Azure AI) or simple ML frameworks.
- ● Practical experience with integration patterns (e.g., REST APIs, message queues) and microservices architecture.
- ● Familiarity with infrastructure tools like Docker, Kubernetes, and IaC (e.g., Terraform, CloudFormation).
- ● Working knowledge of DevOps practices, including CI/CD pipelines and monitoring tools.
- ● Understanding of secure coding practices and basic enterprise security standards (e.g., IAM, encryption). Soft Skills:
- ● Strong debugging and problem-solving skills with a hands-on mindset.
- ● Clear communication to collaborate with technical and non-technical stakeholders.
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