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Tier-1 bank, mid-level fullstack role and common skillset create high applicant competition.
Strong software, AI and cloud skills transferable, but banking/security expectations increase domain specificity.
Mandatory 5+ years, Lead level, plus required Python, cloud, and AI/ML skills increases filter strictness.
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Lead design and development of cloud-native, microservices-based software solutions using Python and full-stack technologies.
Drive adoption of AI/ML tools and practices to enhance code quality, delivery speed, and operational stability.
Ensure scalable, secure, and resilient application architectures with zero-downtime releases and automation of issue remediation.
5+ years of applied software engineering experience with formal training or certification.
Proficiency in back-end (Python, Flask, Django) and full-stack technologies (React, Angular, JavaScript, TypeScript).
Experience with AI/ML technologies including LLMs and AI Python libraries.
Experience with cloud platforms (AWS, Azure, GCP), distributed systems, RESTful APIs, SQL/NoSQL databases, and agile development methodologies.
Experienced in leading software engineering teams delivering complex, scalable microservices with end-to-end ownership.
Demonstrated expertise in integrating AI-assisted engineering tools responsibly into software development workflows.
Familiarity with banking domain and ability to influence engineering practices and culture across teams.