3 days ago
Coimbatore, IndiaStaff+
Responsibilities
- Design end-to-end, application-heavy enterprise architectures spanning infrastructure, applications, data, and platforms across multi-cloud environments.
- Lead the design and implementation of scalable full-stack applications aligned with business objectives.
- Architect integrations between systems, applications, and third-party services using APIs, integration patterns, and event-driven architectures.
- Develop multi-cloud deployment and management strategies emphasizing portability, scalability, and cost optimization.
- Provide technical guidance on .NET, Python, React, Angular, and related application technologies.
- Incorporate Generative AI and Agentic AI capabilities into enterprise applications for automation, predictive analytics, and improved functionality.
- Collaborate on cloud-native infrastructure designs using containerization, CI/CD pipelines, and infrastructure as code.
- Ensure solutions meet performance, scalability, security, compliance, and industry-standard requirements.
- Work with product managers, developers, DevOps teams, infrastructure teams, and business stakeholders to translate requirements into technical solutions.
- Lead cross-functional technical collaboration and stay current with AI, cloud, and full-stack development trends.
Requirements
- At least two years of experience is stated in the project listing; the detailed qualifications seek 12 to 20+ years of enterprise architecture experience, including 3 to 5 years in a full-stack architect role.
- Bachelor’s or master’s degree in computer science, engineering, or a related field, with 15 years of full-time education also stated.
- Proven experience designing and deploying solutions in AWS, Azure, and Google Cloud environments.
- Hands-on experience with .NET Core, ASP.NET, and Python, with front-end experience in React, Angular, or similar frameworks.
- Strong understanding of Generative AI, Agentic AI, prompt engineering, AI evaluation frameworks, and enterprise AI integration.
- Experience with REST, Azure Integration Services, GraphQL, Kafka, message queues, and microservices architecture.
- Exposure to big data technologies such as Fabrics, Hadoop, and Spark, along with data integration pipelines.
- Experience with Docker, Kubernetes, serverless computing, Terraform, and Bicep.
- Understanding of DevOps practices, monitoring, logging, IAM, encryption, and compliance standards.
- Strong problem-solving, analytical, communication, leadership, and business translation skills.
- Relevant certifications such as Azure Solutions Architect Expert, Azure AI Fundamentals, TOGAF, or DevOps Engineer Expert are preferred.
Tech Stack
AngularApache HadoopApache KafkaApache SparkAWSAzureDockerGoogle CloudGraphQLKubernetes.NETPythonReactTerraform
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.