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Tier-1 brand and metro location increase applicant density, but seniority and leadership narrow the pool.
Role requires deep Java backend, cloud, and regulated financial domain experience, limiting cross-industry transferability.
Explicit years, mandatory Java/AWS/backend experience, and leadership plus regulatory requirements create strict filters.
Lead and coach multiple software engineering teams working on Java-based backend services focused on scalability, reliability, and performance.
Set and scale operating practices for AI-assisted engineering and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes across teams.
Influence budgets, technical decisions, and collaborate cross-functionally to advance operational efficiencies and ensure secure, compliant engineering practices.
5+ years of applied software engineering experience plus 2+ years leading technical teams within the domain.
Proven experience leading multi-team adoption of enterprise-authorized AI-assisted development tools with governance and security controls.
Technical expertise in Java backend development, AWS services (Aurora Postgres, ECS/Fargate), and cloud-native architectures.
Work Experience Required: Minimum 7 years (5+ applied experience + 2+ leadership) explicitly stated.
Experienced leader capable of coaching entry- to mid-level engineers and guiding strategic adoption of AI-assisted engineering practices across multiple teams.
Strong hands-on Java and AWS backend development background coupled with practical cloud-native service architecture experience.
Familiarity with responsible AI use in software development workflows and implementing security, resiliency, and compliance in financial services IT systems.