6 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Design end-to-end, application-heavy enterprise architectures across multi-cloud environments.
- Lead the design and implementation of robust, scalable full-stack applications aligned with business goals.
- Architect integrations among systems, applications, and third-party services using APIs, microservices, and event-driven architectures.
- Develop strategies for deploying and managing portable, scalable, and cost-optimized applications across multiple cloud platforms.
- Provide technical guidance on .NET, Python, React, and Angular-based systems.
- Incorporate GenAI and agentic AI capabilities into enterprise applications for predictive analytics, automation, productivity, and functionality.
- Collaborate with infrastructure teams on containerization, CI/CD pipelines, and infrastructure as code.
- Ensure solutions meet performance, scalability, security, industry-standard, and compliance expectations.
- Work with product managers, developers, DevOps teams, and business stakeholders to translate requirements into technical solutions.
- Monitor emerging AI, cloud, and full-stack development trends to drive continuous improvement.
Requirements
- At least 7.5 years of experience is required.
- The qualifications describe 12 to 20+ years of experience in enterprise architecture, including 3 to 5 years in a full-stack architect role focused on application-heavy solutions.
- Bachelor's or master's degree in computer science, engineering, or a related field, with 15 years of full-time education stated.
- Experience designing and deploying solutions in AWS, Azure, and Google Cloud multi-cloud environments.
- Hands-on experience with .NET Core, ASP.NET, and Python for backend development.
- Exposure to front-end technologies such as React, Angular, or similar frameworks.
- Strong understanding of AI concepts and their application in enterprise systems.
- Expertise in integration patterns and technologies including Azure Integration Services, GraphQL, Kafka, and message queues.
- Experience with microservices architecture, big data technologies, and data integration pipelines.
- Experience with Docker, Kubernetes, serverless computing, Terraform, and Bicep.
- Understanding of DevOps practices, monitoring, logging, IAM, encryption, and compliance standards.
- 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 business-translation abilities are required.
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.