1 day ago
Jaipur, IndiaStaff+
Responsibilities
- Design end-to-end, application-heavy enterprise architectures across infrastructure, applications, data, and platforms.
- Lead the design and implementation of scalable full-stack applications using .NET, Python, and modern front-end frameworks.
- Architect integrations between systems, applications, and third-party services using APIs, microservices, event-driven architectures, and messaging patterns.
- Develop multi-cloud strategies for portability, scalability, deployment, management, and cost optimization.
- Provide technical leadership on .NET, Python, React, Angular, and enterprise application architecture.
- Incorporate Generative and Agentic AI capabilities into enterprise applications for automation, predictive analytics, productivity, and functionality improvements.
- Collaborate with infrastructure teams on Docker, Kubernetes, serverless computing, infrastructure as code, and deployment pipelines.
- Ensure performance, scalability, security, compliance, and adherence to industry standards.
- Guide cross-functional teams and translate business requirements and complex technical concepts into technical solutions.
Requirements
- At least 3 years of experience is required; the architecture qualifications specify 12 to 20+ years of enterprise architecture experience and 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 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 and technologies including REST, Azure Integration Services, GraphQL, Kafka, message queues, and microservices architecture.
- Experience with big data technologies and data integration pipelines, including Microsoft Fabric, Hadoop, and Spark.
- Experience with Docker, Kubernetes, serverless computing, Terraform, and Bicep.
- Understanding of DevOps practices, monitoring, logging, IAM, encryption, security, and compliance standards.
- Strong problem-solving, analytical, communication, leadership, innovation, 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.