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Tier-1 brand, mid-level backend title, and common 2-5 year profile increase candidate competition.
Engineering skills are transferable, though banking domain experience moderately influences fit.
Mandatory 2+ years plus explicit Python, database and AI/ML requirements create moderate shortlisting filters.
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Develop, design, and troubleshoot backend software components with a focus on secure, stable, and scalable solutions.
Write secure, high-quality Python code and contribute across the software development life cycle including automation and AI-assisted development.
Analyze large data sets to identify issues and support decision-making in application development within an agile environment.
2+ years of applied experience with formal training or certification in software engineering concepts.
Hands-on expertise in Python programming, core database concepts (relational and document), cloud technologies, and AI/ML technologies including generative AI/LLMs and agentic AI.
Experience in software development lifecycle and agile methodologies (CI/CD, resiliency, security).
Work Experience Required: 2+ years applied experience.
Able to apply enterprise-authorized AI-assisted development tools critically for coding, testing, and documentation.
Familiarity with secure and responsible AI use in engineering workflows, including data sensitivity and resiliency.
Experience working in large corporate environments focusing on backend Python development and emerging AI/ML technologies.