Project Role : AI Native Software Engineer

Project Role Description : Build and ship production-ready software using AI as a core part of the engineering lifecycle. Apply AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve how software is built and operated.

Must have skills : Java Full Stack Development

Good to have skills : NA

Minimum 7.5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

AI POWERED TECH TALENT

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. AI Powered Tech Talent

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:

Experience: 7 to 12 years of hands-on experience in full-stack development, with at least 2 years in a lead developer or junior architect role focusing on application-heavy systems.

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).

Experience with cloud-native services (e.g., AWS Lambda, Azure Functions, GCP Cloud Run).

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.

Ability to juggle hands-on coding with architectural design contributions.

Eagerness to learn and adapt to new tools, frameworks, and cloud technologies.

Education:

Bachelor s degree in computer science, Engineering, or a related field.

Certifications like AWS Certified Developer, Azure Developer Associate, or similar are a plus.