3 days ago
Pune, 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 objectives.
- 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 for .NET, Python, React, and Angular-based systems.
- Incorporate Generative and Agentic AI capabilities into enterprise applications for automation, predictive analytics, and improved functionality.
- Design cloud-native infrastructure using Docker, Kubernetes, serverless computing, Terraform, and Bicep.
- Ensure solution performance, scalability, security, compliance, and adherence to industry standards.
- Collaborate with product managers, developers, DevOps teams, infrastructure teams, and business stakeholders.
- Guide cross-functional teams and translate complex technical concepts into business-friendly language.
Requirements
- At least 3 years of experience is stated in the project requirements.
- The detailed qualifications require 12 to 20+ years of experience in enterprise architecture, 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 stated.
- Hands-on experience with .NET Core, ASP.NET, Python, and modern front-end technologies such as React or Angular.
- Proven experience designing and deploying solutions in AWS, Azure, and Google Cloud environments.
- Strong understanding of Generative AI, Agentic AI, prompt engineering, AI evaluation frameworks, and enterprise AI integration.
- Expertise in integration patterns, Azure Integration Services, GraphQL, Kafka, message queues, and microservices architecture.
- Exposure to big data technologies and data integration pipelines, including Microsoft Fabric, Hadoop, or Spark.
- Experience with Docker, Kubernetes, serverless computing, Terraform, Bicep, monitoring, and logging tools.
- Knowledge of enterprise security practices including IAM, encryption, and compliance standards.
- Strong problem-solving, analytical, communication, leadership, and cross-functional collaboration 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.