Back
Tier-1 brand, popular mid-level fullstack role, metro locations, and broad AI/cloud requirements increase competition.
Core skills (Python, cloud, fullstack, AI) are transferable, though some banking domain bias exists.
Explicit 5+ years plus mandatory Python, fullstack, AI/cloud, and leadership expectations create strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design, development, and delivery of cloud-native, microservices-based applications using Python and AI/ML technologies.
Drive adoption of AI-assisted software engineering tools and enforce validation standards to improve code quality and operational stability.
Develop scalable, secure, and resilient solutions ensuring zero-downtime releases and operational excellence across multiple business functions.
5+ years of applied software engineering experience with formal training or certification.
Proficiency in back-end Python frameworks (Flask, Django) and full-stack technologies (HTML, CSS, JavaScript/TypeScript, React/Angular).
Knowledge of AI/ML technologies including LLMs, AI Python libraries, and ML foundations.
Experience with cloud platforms (AWS, Azure, GCP), microservices, SQL/NoSQL databases, RESTful APIs, CI/CD, and application resiliency.
Experienced in leading engineering teams in applying AI-assisted tooling within secure and compliant software development workflows.
Skilled in building scalable, fault-tolerant, secure applications for financial services or similarly regulated environments.
Capable of coaching teams and driving best practices in software engineering, agile methodologies, AI adoption, and operational stability.