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Tier-1 brand, common backend title, metro location, and broad skill requirements increase competitive density.
Requires in-depth financial services experience and secure, compliant engineering practices, limiting cross-industry transferability.
Explicit 10+ years, advanced Java/Python, financial-services domain expertise, and cloud/platform requirements enforce strict filters.
Lead development and delivery of secure, stable, and scalable backend solutions using Java/Python within an agile team for financial services technology products.
Drive adoption and effective use of enterprise-authorized AI-assisted software engineering tools to improve code quality, delivery speed, and operational stability.
Evaluate architectural designs and coordinate with vendors and internal teams to integrate solutions aligned with overall system architecture.
10+ years of hands-on software engineering experience with formal training or certification in software engineering concepts.
Advanced proficiency in Java and Python programming languages.
Experience leading usage of AI-assisted software development tools with ability to validate AI outputs for correctness, performance, and security.
Practical knowledge of Software Development Life Cycle, agile methodologies, cloud native technologies, and understanding of financial services IT systems.
Experienced in delivering backend solutions with strong operational stability focus within financial services technology environments.
Skilled in integrating AI-assisted engineering practices strategically into development workflows with a focus on security and compliance.
Capable of leading technical evaluations and cross-functional coordination to influence architecture and solution adoption.