AI Native Software Engineer

About Accenture

Qualifications

• 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).
• 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.
• Bachelor s degree in computer science, Engineering, or a related field.
• The candidate should have minimum 5 years of experience in Java Full Stack Development.
• This position is based at our Bengaluru office.
• A 15 years full time education is required.
• 15 years full time education

Preferred Qualifications

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

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