13 hours ago
Mumbai, IndiaStaff+
Responsibilities
- Define enterprise architecture strategies, operating models, target states, and transformation roadmaps.
- Design end-to-end application-heavy architectures integrating infrastructure, applications, data, and platforms across AWS, Azure, and Google Cloud.
- Lead the design and implementation of robust, scalable full-stack applications aligned with business objectives.
- Develop integration strategies using APIs, microservices, event-driven architectures, and third-party services.
- Create multi-cloud deployment and management strategies focused on portability, scalability, and cost optimization.
- Provide technical leadership for .NET, Python, React, and Angular-based systems.
- Incorporate Generative AI and Agentic AI capabilities into enterprise applications for automation, productivity, and intelligent insights.
- Design cloud-native infrastructure using containerization, infrastructure-as-code, and related platform technologies.
- Ensure solution performance, scalability, security, compliance, and adherence to industry best practices.
- Collaborate with infrastructure teams, product managers, developers, DevOps professionals, and business stakeholders.
- Track emerging AI, cloud, and full-stack development trends to drive continuous improvement.
Requirements
- At least 12 years of experience is required, with 12 to 20+ years in enterprise architecture preferred.
- At least 3 to 5 years of experience in a full-stack architect role focused on application-heavy solutions.
- Strong expertise in .NET architecture, .NET Core, ASP.NET, and Python for backend development.
- Experience designing and deploying solutions in AWS, Azure, and Google Cloud environments.
- Experience or exposure to React, Angular, or similar front-end frameworks.
- Strong understanding of Generative AI, Agentic AI, prompt engineering, AI evaluation frameworks, and enterprise AI integration.
- Expertise in REST, Azure Integration Services, GraphQL, Kafka, message queues, and microservices architecture.
- Exposure to Fabrics, Hadoop, Spark, and data integration pipelines.
- Experience with Docker, Kubernetes, serverless computing, Terraform, and Bicep.
- Understanding of DevOps practices, monitoring, logging, IAM, encryption, and compliance standards.
- Bachelor's or master's degree in computer science, engineering, or a related field.
- Relevant certifications such as Azure Solutions Architect Expert, Azure AI Fundamentals, TOGAF, or DevOps Engineer Expert are preferred.
- Strong problem-solving, analytical, communication, leadership, and cross-functional collaboration skills.
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.