Fullstack Developer - Java

Accenture

Hyderabad

On-site

INR 1,800,000 - 2,800,000

Full time

5 days ago
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Job summary

Accenture in India is seeking a Mid-Level Application Architect / Senior Developer to design, develop, and deliver cloud-native solutions. You will code in Java Spring Boot and Python, contribute to front-end work with React/Angular, and collaborate across teams to implement scalable enterprise applications.

The role emphasizes hands-on coding, solution design, and AI integration using GenAI frameworks, with multi-cloud deployments (AWS/Azure/Google Cloud) and DevOps practices.

Qualifications

  • 7.5+ years of experience in full-stack development.
  • Strong hands-on experience with Java Spring Boot and Python.
  • Experience with front-end frameworks React or Angular.
  • Experience in multi-cloud environments (AWS, Azure, Google Cloud).
  • Knowledge of GenAI/Agentic AI and AI integration basics.
  • Familiarity with DevOps and CI/CD pipelines.
  • Understanding of secure coding practices and enterprise security.

Responsibilities

  • Develop custom software components across systems or apps.
  • Lead AI-driven solution design and automation initiatives.
  • Implement multi-cloud architectures with focus on performance and security.
  • Code, test, and deploy application-heavy solutions using Java and Python.
  • Collaborate with architects, product managers, and DevOps teams.
  • Build and maintain integrations via APIs and microservices.

Skills

Java Full Stack Development
Java Spring Boot
Python
React
Angular
Cloud technologies
DevOps practices
CI/CD pipelines
AI integration knowledge
Secure coding practices

Education

Bachelor's degree in computer science or related field

Tools

Docker
Kubernetes
Terraform

Job description

Responsibilities:
  • 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.
  • 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.
  • This role emphasises 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.
  • Hands-On Coding: Actively develop, test, and deploy application-heavy solutions; write clean, efficient code in programming languages like Java Spring Boot, Python for backend systems, and contribute 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 optimisation 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 containerised solutions (Docker, Kubernetes) and CI/CD pipelines, with hands-on use of IaC tools like Terraform or BiCEP.
  • Performance and Security Optimisation: 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.
Requirements:
  • We are seeking a dynamic Mid-Level Application Architect / Senior Developer with a strong focus on hands-on development and practical solution design.
  • The ideal candidate will have robust experience in Java Spring Boot and Python, with working knowledge of front-end technologies like React or Angular, and a foundational understanding of AI integration.
  • Must have skills: Java Full Stack Development.
  • Good-to-have skills: N. A. Minimum 7.5 years of experience is required.
  • Educational Qualification: 15 years of full-time education.
  • 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.
  • 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 realisation.
  • 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 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., Claude AI, Azure OpenAI, 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.
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