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Tier-1 brand, generalist senior title, metro location, and mid-level experience amplify competition.
Core software, cloud, and AI skills are transferable, though banking security exposure favors domain familiarity.
Explicit 4+ years plus broad preferred tech, security, and cloud requirements increase selection strictness.
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Lead end-to-end design, development, and modernization of scalable, secure full-stack enterprise applications integrating AI-powered features.
Provide technical guidance, mentor junior engineers, and lead projects including resource allocation and delivery management.
Drive DevOps and MLOps practices, implement AI-driven operational workflows, and ensure compliance with Secure Development Lifecycle and Responsible AI principles.
4+ years of Software Engineering experience.
5+ years of experience in Java and/or .NET development and modern web technologies (Angular, React, JavaScript).
Hands-on experience integrating AI/Generative AI services and working with AI platforms such as Azure OpenAI, Microsoft Copilot Studio, or similar.
Experience with cloud platforms (Azure preferred), CI/CD pipelines, containerization (Docker, Kubernetes), and Secure Software Development Lifecycle (SSDLC).
Experienced in building and deploying AI-enabled enterprise and cloud-native applications at scale with microservices architecture.
Ability to lead technical discussions and manage stakeholders across architects, engineering leaders, and senior management.
Familiarity with security operations, vulnerability management, Agile methodologies, and observability tools like App Insights or ELK.