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Tier-1 brand, popular backend title, metro location, and broad AI/backend skillset increase candidate competition.
Backend and data engineering skills are broadly transferable, despite banking-specific security expectations.
Explicit 2+ years requirement and mandatory backend, Python, Airflow, Spark, and AI tooling raise strictness.
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Design, develop, and troubleshoot software components within a technical product focusing on secure, stable, and scalable solutions.
Write high-quality, secure code in at least one programming language with limited guidance, incorporating AI-assisted development tools.
Analyze large data sets to identify issues and contribute to decisions supporting stable application development.
Formal training or certification in software engineering concepts plus 2+ years of applied experience.
Practical experience in system design, application development, testing, and maintaining operational stability.
Proficiency in coding with one or more modern programming languages and database querying languages.
Hands-on experience using enterprise-authorized AI-assisted software development tools, with ability to validate AI-generated outputs.
Experienced in full Software Development Life Cycle and familiar with agile methodologies including CI/CD and security practices.
Strong technical expertise in Python, data pipelines (Airflow, Spark), core database concepts, cloud technologies, and AI/ML including GenAI/LLMs and agentic AI.
Capable of integrating responsible AI principles in engineering workflows considering data sensitivity and security.