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Tier-1 brand, metro location, and a popular backend leadership role increase candidate competition.
Role requires backend Java/AWS expertise and payments domain knowledge, limiting cross-industry transferability.
Multiple mandatory filters including years, leadership experience, Java/AWS hands-on requirement, and AI governance experience.
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Lead and coach multiple software engineering teams of entry-level to mid-level engineers, overseeing technical direction and operational execution.
Own the adoption and scaling of enterprise-authorized AI-assisted engineering practices and SDLC automation to improve delivery speed, quality, and operational outcomes across teams.
Provide input on budget, resource allocation, and technical strategy to improve operational efficiency and functionality for payment technology projects involving Java, AWS, and firmwide reporting interfaces.
Minimum 5 years applied software engineering experience plus at least 2 years leading technologists and managing technical delivery within the domain.
Hands-on development expertise in Core Java, J2EE, Spring Boot, and AWS with ability to spend majority of time coding.
Experience leading teams aligned against strategic initiatives with strong knowledge of software development lifecycle tools including enterprise-authorized AI-assisted development.
Formal training or certification in software engineering concepts.
Experienced in building scalable payment data stores and interfaces for enterprise-wide reporting in financial services IT systems.
Skilled at designing and documenting technical solutions, managing multi-team collaboration, and defining governance around AI-assisted engineering practices.
Able to influence leadership on responsible AI use, security, and resiliency in engineering workflows, while coaching managers and leads in complex software delivery contexts.