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Tier-1 brand, generic fullstack title, and metro location create high candidate competition.
Core engineering skills (Java/Python, cloud) are transferable, though regulated banking context adds moderate bias.
Explicit 12+ years plus mandatory Java/Python, cloud, and AI-assisted tooling experience demands strict filters.
Provide technical leadership and guidance to technical teams, contractors, and vendors, influencing product design and application functionality.
Develop, review, and debug secure, high-quality production code, and drive adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
Act as a subject matter expert in multiple areas, promoting reuse of proven patterns and automation within the SDLC toolchain and contributing to firmwide engineering frameworks, tools, and practices.
12+ years of applied experience with formal training or certification in software engineering concepts.
Advanced proficiency in Java and Python programming languages.
Demonstrated experience leading the effective use of enterprise-authorized AI-assisted software development tools with ability to validate AI outputs for correctness, performance, and security.
Practical experience with cloud native technologies.
Experienced in driving technical decisions independently with minimal oversight, particularly in complex design and functionality challenges.
Strong expertise in responsible AI use within engineering workflows, including compliance with data sensitivity, security standards, and resiliency requirements.
Background in platform engineering or related roles that align with managing engineering tools, automation, and governance within large-scale software development life cycles.