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Tier-1 brand, mid-level fullstack title, and popular skills amplify candidate competition.
Technical skills (Python, cloud, microservices, AI/ML) are transferable across industries, creating moderate domain bias.
Explicit 5+ years requirement plus mandatory Python, cloud, microservices, and AI/ML skills drive strict shortlisting.
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Lead design and development of scalable, secure cloud-native microservices applications using AI/ML technologies and modern architectural patterns.
Own critical end-to-end software solutions enhancing commercial and investment banking technology products.
Drive adoption of AI-assisted engineering tools and establish validation standards to improve code quality and operational stability.
5+ years of applied software engineering experience with formal training or certification.
Proficiency in Python backend technologies (Flask, Django), microservices, and for full-stack roles, frontend technologies (React, Angular).
Experience with AI/ML technologies including LLMs and AI Python libraries.
Hands-on experience with cloud platforms (AWS/Azure/GCP), distributed systems, SQL and NoSQL databases, agile SDLC, CI/CD, and application resiliency.
Experienced technical leader able to independently solve design challenges and guide teams in AI-assisted software development.
Strong domain knowledge of cloud-native banking applications and responsible AI engineering practices.
Comfortable working in fast-paced agile teams delivering secure, scalable financial software solutions.