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Tier-1 brand, popular fullstack title, mid-level experience, and broad skillset increase applicant competition.
Core fullstack .NET and cloud skills are transferable, though finance domain and compliance add moderate bias.
Explicit 4+ years requirement plus mandatory .NET, cloud, and AI-related skills create strict screening filters.
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Lead and deliver moderately complex software engineering initiatives within .Net Core and C# technology domain.
Design, develop, test, debug, and document scalable full-stack distributed applications including AI-enabled features.
Provide technical guidance to teams, resolve complex challenges, and collaborate across global teams on strategy and delivery.
Minimum 4 years of software engineering experience or equivalent via work experience, training, military, or education.
Strong development skills in C#, .Net Core, REST/Web APIs, Microsoft technologies, and building scalable distributed applications.
Bachelor’s degree in Engineering, MCA, or equivalent.
Experience or working knowledge of AI/ML fundamentals, integrating AI via APIs/SDKs, and using AI-assisted coding tools for productivity.
Experienced with full-stack scalable application development in enterprise technology environments, showing ownership in complex projects.
Comfortable working across multiple components and collaborating with cross-functional and global engineering teams.
Has practical understanding of AI/ML concepts, operational AI considerations, and responsible AI practices, enabling integration of AI capabilities in software products.