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Accenture India Private Limited is seeking a seasoned Custom Software Engineer Project Role to design and deliver large-scale, multi-cloud enterprise solutions. You will drive architecture for application-heavy systems, leveraging .NET Core, ASP.NET, Python, and modern front-end tech (React/Angular) while guiding DevOps, security, and AI-enabled capabilities.
The role emphasizes leadership in solution architecture, integration strategies, and cloud-native design across AWS, Azure, and Google
Custom Software Engineer Project Role Description: Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have skills: .NET Architecture Good to have skills: NA Minimum 7.5 year(s) of experience is required Educational Qualification: 15 years full time education Overview: AI POWERED TECH TALENT We are seeking a seasoned Full Stack Enterprise Architect with deep expertise in designing and implementing application-heavy, multi-cloud enterprise solutions. The ideal candidate will have a strong background in applications, infrastructure and integration, with hands-on experience in .NET Core, MVC Framework and Python, as well as exposure to modern front-end technologies like React or Angular. A solid understanding of AI and its integration into enterprise systems is essential. This role will drive the architecture of scalable, secure, and innovative solutions to support business objectives across multiple cloud platforms.
Experience: 12 to 20+ years of experience in enterprise architecture, with at least 3 to 5 years in a full-stack architect role focusing on application-heavy solutions. Proven track record of designing and deploying solutions in multi-cloud environments (AWS, Azure, Google Cloud). 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 (e.g., REST, Azure Integration Services, GraphQL, Kafka, message queues) and microservices architecture. Exposure to big data technologies (e.g., Fabrics, Hadoop, Spark) and data integration pipelines. Experience with infrastructure components such as containerization (Docker, Kubernetes), serverless computing, and IaC tools (Terraform, Bicep). Understanding of DevOps practices, including CI/CD pipelines, monitoring, and logging tools. Knowledge of enterprise security practices, including IAM, encryption, and compliance standards.
Excellent problem-solving and analytical skills. Strong communication and leadership abilities to guide cross-functional teams. Ability to translate complex technical concepts into business-friendly language. Proactive, innovative mindset with a focus on delivering scalable solutions.
Bachelor s or master s degree in computer science, Engineering, or a related field. Relevant certifications (e.g., Azure Solutions Architect Expert, Azure AI Fundamentals, TOGAF, DevOps Engineer Expert or similar) are a plus.