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Tier-1 brand, mid-level experience band, and broad backend/leadership requirements increase competition.
Strong backend and cloud skills are transferable, but finance and AI governance raise domain-specific sensitivity.
Explicit years, mandatory Java/AWS leadership and regulatory/security requirements enforce strict shortlisting.
Lead and coach multiple software engineering teams with Java backend development and cloud-native solutions using AWS services.
Set and scale enterprise-wide AI-assisted engineering practices and automation to improve delivery speed, quality, and operational outcomes across teams.
Own decisions impacting team resources, budgets, operations, and cross-team collaboration to execute and improve technical initiatives and processes.
5+ years applied software engineering experience plus 2+ years leading technologists and managing complex technical challenges.
Strong Java backend development skills including Java, Spring Boot, Microservices, SQL, Cloud Foundry, and distributed system design.
Experience with AWS cloud services (Aurora Postgres, ECS/Fargate, EC2) and building scalable, reliable services.
Experience leading multi-team adoption of enterprise-authorized AI-assisted development/tools with governance and security focus.
Experienced technical leader capable of mentoring and coaching entry to mid-level engineers on complex technical initiatives at scale.
Ability to define and implement AI-assisted development governance, ensuring secure, compliant, and effective tool usage across teams.
Familiar with financial services or connected commerce IT systems and able to collaborate effectively across engineering and product stakeholders.