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Tier-1 brand, metro location, mid-level generalist role with broad skillset increases competition.
Strong financial services, Full Stack Java and responsible AI requirements reduce cross-industry transferability.
Mandatory 5+ years plus specific Full Stack Java, AI/ML, cloud and financial services requirements.
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Lead multiple software engineering teams delivering full stack Java, AI/ML, and data engineering projects within a financial institution.
Manage day-to-day team activities ensuring adherence to compliance, business requirements, and service level agreements.
Drive adoption and coaching of enterprise-authorized AI-assisted engineering tools and SDLC automation to improve delivery speed, quality, and security.
5+ years applied software engineering experience with formal training or certification and demonstrated coaching/mentoring capabilities.
Experience leading technology projects and managing software engineering teams.
Proficiency in full stack Java development, data engineering, AI/ML understanding, automation, continuous delivery, and advanced agile methodologies (CI/CD, resiliency, security).
Experience with financial services IT systems and practical cloud native experience.
Experienced manager comfortable guiding multiple teams in complex technology environments, especially within financial services.
Strong expertise in integrating AI-assisted development tools responsibly within engineering workflows, including security, governance, and data sensitivity.
Hands-on understanding of software engineering best practices across SDLC with ability to set standards and coach teams to deliver high-quality, compliant software products.