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Tier-1 brand, metro location, and a mid-level generalist backend Lead role increase candidate competition.
Backend JVM and cloud skills transfer across industries, though fintech/enterprise experience moderately increases fit sensitivity.
Explicit 5+ years, JVM/cloud-native requirements, and mandated secure/AI-assisted engineering practices enforce strict filters.
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Lead development of scalable, secure, and high-availability fintech business products using domain modeling and cloud-native JVM technologies.
Drive adoption of AI-assisted engineering practices to improve code quality, delivery speed, testing, and operational outcomes within the team.
Ensure robust problem investigation and resolution with zero downtime during releases, while continuously updating technologies for optimal performance and reliability.
5+ years of applied software engineering experience with formal training or certification.
Proficiency in JVM-based languages (Java/Kotlin) and experience with cloud-native and multi-cloud solutions.
Experience in secure coding, enterprise-authorized AI-assisted development tools, and software development life cycle toolchains.
Work Experience Required: 5+ years; Notice Period: Not explicitly mentioned in the JD.
Experienced in leading adoption of AI-assisted software development tools with focus on validation standards and responsible AI use in engineering workflows.
Capable of independently choosing technologies and driving team collaboration to solve real-world problems with a long-term vision.
Strong ethical integrity and pragmatic, iterative approach to software engineering and team performance improvement.