1 day ago
Bengaluru, IndiaSenior / Staff+
Responsibilities
- Design end-to-end, application-heavy enterprise architectures integrating infrastructure, applications, data, and platforms across multi-cloud environments.
- Lead the design and implementation of robust, scalable full-stack applications aligned with business goals.
- Architect integrations between systems, applications, and third-party services using APIs, microservices, and event-driven architectures.
- Develop multi-cloud deployment and management strategies focused on portability, scalability, and cost optimization.
- Provide technical leadership on .NET, Python, React, and Angular-based systems.
- Incorporate Generative AI and Agentic AI capabilities into enterprise applications to automate processes and improve functionality.
- Collaborate on cloud-native infrastructure designs using Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code tools.
- Ensure solutions meet performance, scalability, security, compliance, and industry best-practice requirements.
- Work with product managers, developers, DevOps teams, infrastructure teams, and business stakeholders to translate requirements into technical solutions.
- Track emerging AI, cloud, and full-stack development technologies to drive continuous improvement.
Requirements
- Minimum 2 years of experience is stated; the detailed qualifications request 12 to 20+ years in enterprise architecture, including 3 to 5 years as a full-stack architect.
- 15 years of full-time education is required.
- A bachelor's or master's degree in computer science, engineering, or a related field is required.
- Strong experience with .NET Core, ASP.NET, Python, and full-stack application development is required.
- Experience designing and deploying solutions across AWS, Azure, and Google Cloud is required.
- Experience with React, Angular, or similar front-end frameworks is preferred.
- Strong understanding of Generative AI, Agentic AI, prompt engineering, AI evaluation frameworks, and enterprise AI integration is required.
- Expertise with REST, Azure Integration Services, GraphQL, Kafka, message queues, event-driven architecture, and microservices is required.
- Exposure to Fabric, Hadoop, Spark, and data integration pipelines is preferred.
- Experience with Docker, Kubernetes, serverless computing, Terraform, and Bicep is required.
- Understanding of CI/CD, monitoring, logging, IAM, encryption, compliance standards, and enterprise security practices is required.
- Relevant certifications such as Azure Solutions Architect Expert, Azure AI Fundamentals, TOGAF, or DevOps Engineer Expert are a plus.
- Strong problem-solving, analytical, communication, leadership, and cross-functional collaboration skills are required.
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.