Responsible for architecture, design, development, quality and performance engineering of one or more enterprise software products.
Provide technical and strategic leadership for one or more enterprise product engineering teams.
Ensure quality of one or more product/application code bases and alignment with development standards.
Development of highly complex cloud native applications, interfaces and integration with other systems.
Lead/Own the complete development life cycle with agile principles for the respective products.
Review and recommend changes to the architecture/design/code.
Head the development of enterprise platform and application features/services with micro services, micro frontend patterns, using Azure cloud services, C# .NET Core, ReactJS, PostGres etc, implementing AI-DevSecOps principles.
Own and be accountable for the Performance, Scalability, Reliability and Sustainability of the respective enterprise platform/products.
Guide the POCs/Technical Solution Approach using the combination of open source, closed source, commercial technology/toolset.
Evaluate and recommend software development tools.
Strive for self-excellence along with managing, coaching/mentoring, enabling success of the development/engineering teams.
12+ years of product development experience with enterprise grade products
6+ years of hands-on and strategic experience in leading cloud native product engineering teams
Extensive experience with C#, .NET Core, Azure Cloud Services and DevOps
Working knowledge of the JS frameworks – React, TypeScript etc
Proven experience in automating development lifecycle using combination of AI tools - Claude + CoPilot + MCP
Strong experience in Micro-Services and/or Micro-Frontend architecture
Strong experience in container-based development, AKS, Service Fabric etc
Strong experience in messaging queue systems like RabbitMQ, Kafka
Experience in architecting, building event driven and distributed software applications using cloud native services – preferably Azure
Strong experience in Relational and No-SQL databases like PostgreSQL, MongoDB, MS SQL Server
Preferable experience in integrating LLMs, vector databases, RAG into production apps
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