1 day ago
Pune, IndiaStaff+
Responsibilities
- Design end-to-end, application-heavy enterprise architectures across applications, infrastructure, data, platforms, and multi-cloud environments.
- Lead the design and implementation of robust, scalable full-stack applications using .NET, Python, and modern front-end frameworks.
- Architect integrations among systems, applications, and third-party services using APIs, microservices, event-driven architectures, and enterprise integration patterns.
- Develop multi-cloud strategies for portability, scalability, application management, and cost optimization across AWS, Azure, and Google Cloud.
- Provide technical leadership on application architecture, cloud-native infrastructure, containerization, infrastructure as code, CI/CD, performance, security, and enterprise standards.
- Incorporate Generative AI and Agentic AI capabilities into enterprise applications for automation, intelligent insights, productivity, and business transformation.
- Collaborate with product managers, developers, DevOps teams, infrastructure teams, and business stakeholders to translate requirements into technical solutions.
- Monitor emerging AI, cloud, integration, and full-stack technologies and guide continuous improvement.
Requirements
- At least 7.5 years of professional experience is required; the architecture qualifications describe 12 to 20+ years of enterprise architecture experience and 3 to 5 years in a full-stack architect role.
- Strong experience designing and deploying application-heavy enterprise solutions in multi-cloud environments using AWS, Azure, and Google Cloud.
- Hands-on experience with .NET Core, ASP.NET, Python, and exposure to React, Angular, or similar front-end frameworks.
- Expertise in Generative AI, Agentic AI, prompt engineering, AI evaluation frameworks, and applying AI within enterprise systems.
- Knowledge of REST, Azure Integration Services, GraphQL, Kafka, message queues, microservices, and event-driven integration patterns.
- Experience with big data and data integration technologies such as Fabrics, Hadoop, and Spark.
- Experience with Docker, Kubernetes, serverless computing, Terraform, Bicep, CI/CD pipelines, 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.
- Bachelor's or master's degree in computer science, engineering, or a related field; 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.