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Tier-1 brand, mid-level generalist title, metro location, and broad skillset demand increase competition.
Backend engineering skills are transferable but banking compliance and responsible-AI needs increase domain specificity.
Explicit 4+ years plus mandatory Java/Kafka/Python, CI/CD, and compliance expectations raise filtering strictness.
Lead and deliver moderately complex software engineering initiatives including new features, system enhancements, upgrades, and deployments.
Design, implement, test, debug, and document robust software solutions while making architectural decisions within established guidelines.
Apply AI-assisted development practices and tools at scale to improve engineering productivity, quality, and reliability, while ensuring compliance with security and data usage policies.
4+ years of software engineering or application development experience.
Strong hands-on experience with Java, Kafka, Python, and relevant frameworks.
Practical experience using AI-powered engineering tools and applying AI-assisted development practices.
Solid understanding of SDLC and experience working in Agile/DevOps delivery models.
Experienced in leading and resolving moderately complex technical challenges and incident support with an AI-first engineering mindset.
Capable of mentoring junior engineers and collaborating with peers, product partners, and stakeholders effectively.
Familiar with security, risk, data privacy, compliance, and responsible AI usage embedded in design and implementation.