Accenture
Accenture1h ago
Naukri

Custom Software Engineer

Chennai
Full Time
Senior Level

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Qualifications

10/10 matched

Experience Level: Senior Level

  • </b></li><li></li><li>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. </li><li>Demonstrated experience building and deploying solutions in multi-cloud environments (AWS
  • Google Cloud). </li><li>Strong proficiency in .NET
  • and Python for backend development. </li><li>Hands-on experience with front-end frameworks like React
  • Angular
  • or similar. </li><li>Basic exposure to AI/ML integration
  • such as using cloud AI services (e.g.
  • Azure Open AI
  • Azure Foundry
  • AWS SageMaker

Full Job Description

About the Role

We are seeking dynamic Mid-Level Application Architects / Senior Developers with a strong focus on hands-on development and practical solution design. The ideal candidate will possess 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, 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 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 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 .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 Open AI, 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, LogicApps, ServiceBus, 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.

Education:

  • Bachelor’s degree in computer science, Engineering, or a related field.
  • Certifications like Azure Developer Associate, Azure AI Fundamentals, or similar are a plus.
  • 15 years full-time education required.

Company

Accenture

Accenture

Chennai
Posted on Naukri
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