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Tier-1 brand, metro locations, mid-level backend role with broad skills increases applicant density.
Requires financial-services domain knowledge and cloud/backend expertise, reducing cross-industry transferability.
Explicit 5+ years plus mandatory Java/backend, cloud, and financial-services experience makes shortlisting highly selective.
Lead design, development, debugging, and delivery of secure, high-quality backend Java software solutions within Infrastructure Platforms.
Drive adoption and validation of enterprise-authorized AI-assisted engineering practices to enhance code quality, delivery speed, and operational stability.
Evaluate and collaborate with external vendors and internal teams on architecture and technical suitability for integration with firm's systems.
5+ years applied software engineering experience with formal training or certification.
Advanced proficiency in one or more programming languages, with hands-on experience in system design, application development, testing, and operational stability.
Strong experience leading AI-assisted software development tool usage, including setting team validation standards for correctness, performance, and security.
Practical knowledge across Software Development Life Cycle, agile methodologies (CI/CD, resiliency, security), and cloud native environments.
Experienced leader skilled in embedding AI-assisted automation in software development workflows with focus on responsible and secure AI adoption.
Strong domain expertise in financial services IT systems aligned to infrastructure platform needs.
Able to navigate multi-issue environments and collaborate with diverse technical teams and external partners to deliver operationally stable, scalable backend solutions.