1 day ago
Coimbatore, IndiaStaff+
Responsibilities
- Design end-to-end enterprise architectures integrating applications, infrastructure, data, and platforms across AWS, Azure, and Google Cloud.
- Lead the design and implementation of robust, scalable full-stack applications aligned with business goals.
- Develop integration strategies using APIs, microservices, event-driven architectures, REST, GraphQL, Kafka, message queues, and Azure Integration Services.
- Create multi-cloud deployment and management strategies focused on portability, scalability, and cost optimization.
- Provide technical leadership on .NET and Python backend systems and React or Angular frontend technologies.
- Incorporate Generative AI and Agentic AI capabilities into enterprise applications for automation, predictive analytics, productivity, and functionality improvements.
- Design cloud-native infrastructure using Docker, Kubernetes, serverless computing, Terraform, and Bicep.
- Ensure application performance, scalability, security, compliance, and adherence to industry standards.
- Collaborate with infrastructure teams, product managers, developers, DevOps teams, and business stakeholders to translate requirements into technical solutions.
- Guide innovation and continuous improvement across AI, cloud, and full-stack development practices.
Requirements
- A bachelor’s or master’s degree in computer science, engineering, or a related field is required.
- A minimum of 5 years of experience is stated; the detailed qualifications request 12 to 20+ years in enterprise architecture, including 3 to 5 years in a full-stack architect role.
- Hands-on experience with .NET Core, ASP.NET, Python, and modern frontend technologies such as React or Angular.
- Proven experience designing and deploying solutions across AWS, Azure, and Google Cloud.
- Strong understanding of Generative AI, Agentic AI, prompt engineering, AI evaluation frameworks, and enterprise AI integration.
- Expertise in integration patterns, microservices architecture, REST, Azure Integration Services, GraphQL, Kafka, message queues, and event-driven architectures.
- Experience with big data technologies and data integration pipelines, including Hadoop and Spark.
- Experience with Docker, Kubernetes, serverless computing, Terraform, Bicep, monitoring, logging, and DevOps practices.
- Knowledge of enterprise security practices, IAM, encryption, compliance standards, scalability, and performance optimization.
- Strong problem-solving, analytical, communication, leadership, stakeholder collaboration, 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.