Fullstack Engineer - .NET

Accenture; Bengaluru; Presencial; INR 2 800 000 - 4 600 000; Tempo integral

Resumo da oferta

Accenture PLC in Bengaluru seeks an experienced software professional with strong hands-on coding in .NET Core, Python, and front-end skills (React/Angular). The role focuses on AI-enabled enterprise solutions, multi-cloud delivery, and secure, scalable architectures.

You will lead design and implementation efforts, collaborate with architects and DevOps, and apply state-of-the-art AI techniques to deliver measurable business value across cloud platforms.

Qualificações

• Bachelor's degree in computer science, engineering, or a related field.
• Certifications like Azure Developer Associate, Azure AI Fundamentals, or similar are a plus.
• Experience: 5 to 12 years of hands-on experience in full-stack development, with leadership exposure.

Responsabilidades

• Lead AI-driven solution design and delivery using GenAI and Agentic AI to solve business challenges.
• Hands-On Coding: develop, test, and deploy backend and frontend solutions using .NET Core, C#, ASP.NET, Python, React or Angular.
• Design scalable, cloud-native architectures and drive multi-cloud deployments across AWS, Azure, and Google Cloud.
• Build and maintain integrations using APIs, microservices, and event-driven patterns (REST, GraphQL, Kafka).
• Collaborate with DevOps to implement containerized solutions (Docker, Kubernetes) and IaC tooling (Terraform, Bicep).
• Implement AI features using cloud AI services or frameworks and ensure secure coding practices.

Conhecimentos

.NET Core

Python

React/Angular

GenAI / Agentic AI

APIs & Microservices

CI/CD & DevOps

Cloud architectures

Security practices

Formação académica

Bachelor's degree in CS/Engineering

Azure Developer Associate

Azure AI Fundamentals

Ferramentas

Docker

Kubernetes

Terraform

Bicep

REST/GraphQL/Kafka

Descrição da oferta de emprego

The ideal candidate will have robust experience in. NET Core, MVC, 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, and Google Cloud) to deliver scalable, secure enterprise applications.

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.
• Hands-On Coding: Actively develop, test, and deploy application-heavy solutions; write clean, efficient code in any of the programming languages, such as. NET Core (C#, ASP. NET) and 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 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 BiCE.
• Performance and 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.

Requirements

• 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.
• Bachelor's degree in computer science, engineering, or a related field.
• Certifications like Azure Developer Associate, Azure AI Fundamentals, or similar are a plus.
• 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 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., Azure OpenAI, Azure Foundry, AWS SageMaker) 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, Bicep).
• Experience with cloud‑native services (e. g., Azure Functions, Logic Apps, Service Bus, etc. ).
• 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.