1 day ago
Hyderābād, IndiaStaff+
Responsibilities
- Design end-to-end, application-heavy enterprise architectures across infrastructure, applications, data, and platforms.
- 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 for automation, predictive analytics, and productivity improvements.
- Design cloud-native infrastructure using Docker, Kubernetes, CI/CD pipelines, Terraform, and Bicep.
- Ensure application performance, scalability, security, compliance, and adherence to industry standards.
- Collaborate with infrastructure teams, product managers, developers, DevOps professionals, and business stakeholders.
- Track emerging AI, cloud, and full-stack development technologies and drive continuous improvement.
Requirements
- At least 2 years of experience is stated as required; the architect 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.
- 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 REST, Azure Integration Services, GraphQL, Kafka, message queues, and microservices architecture.
- Exposure to big data technologies such as Fabrics, Hadoop, and Spark, along with data integration pipelines.
- Experience with Docker, Kubernetes, serverless computing, Terraform, and Bicep.
- Understanding of DevOps practices, monitoring, logging, IAM, encryption, and compliance standards.
- Strong problem-solving, analytical, communication, leadership, and business translation 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.