Application Support Engineer with AI and Multi-Cloud Full Stack Development Expertise

Accenture India Private Limited; Bengaluru; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

Accenture India Private Limited seeks a forward-thinking Custom Software Engineer with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks across multi-cloud environments. The role emphasizes hands-on coding in Java Spring Boot and Python, with front-end work using React or Angular.

The ideal candidate has 5–12 years of full-stack experience, strong cloud skills (AWS/Azure/Google), and a practical approach to integrating AI

Qualifications

• 5–12 years of hands-on full-stack development experience.
• At least 2 years in a lead developer or junior architect role.
• Experience deploying solutions in multi-cloud environments (AWS, Azure, Google Cloud).
• Strong proficiency in Java Spring Boot and Python backend development.

Responsibilities

• Actively code, test, and deploy enterprise-scale applications.
• Design scalable, cloud-native architectures for multi-cloud use.
• Integrate APIs, microservices, and event-driven patterns.
• Collaborate with DevOps on CI/CD and containerization.
• Mentor junior developers and coordinate across teams.

Skills

Java Spring Boot

Python

React

Angular

Multi-cloud

Docker

Kubernetes

CI/CD

Terraform

AI integration

Education

Bachelor's degree in CS/Engineering

Azure Developer Associate

Tools

Git

Terraform

Job description

Custom Software Engineer 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 3 year(s) of experience is required Educational Qualification : 15 years full time education

Custom Software Engineer Project Role Description :

Summary: Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation.

AI Powered Tech Talent Roles & Responsibilities :

Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact.

Professional & Technical Skills :

Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks.

Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.

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 Spring boot, 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 languages like Java Spring boot, 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 BiCep.
• 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: 5 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 Spring boot, 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., Clause AI, Azure Open AI, Amazon Queue) 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).
• Experience with cloud-native services.
• 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 Azure Developer Associate, or similar are a plus.