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Tier-1 brand, metro role, and broad backend/cloud skillset increase applicant competition.
Core backend/cloud skills transfer across industries, but banking compliance and AI governance raise domain specificity.
Explicit 5+ years, leadership, and specific backend/cloud/AI governance requirements create strict filtering.
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Lead and provide technical coaching and advisory for multiple software engineering teams focusing on enterprise-authorized AI-assisted engineering and automation to improve delivery speed, quality, and operational outcomes.
Accountable for team resources, budget, tactical operations, process execution, and ensuring collaboration across teams and stakeholders to meet strategic technical initiatives.
Contribute to solution design, oversee Java-based backend service development on AWS, and promote strong engineering practices including security, compliance, and responsible AI use.
5+ years of applied software engineering experience plus 2+ years leading technologists and managing complex technical projects.
Experience leading multi-team adoption of enterprise-authorized AI-assisted development tools with governance and security considerations.
Strong Java backend development skills, object-oriented design, and experience with AWS services (Aurora Postgres, ECS/Fargate).
Work Experience Required: Minimum 7 years combined relevant experience; Notice Period: Not explicitly mentioned in the JD.
Experienced technical leader comfortable managing multiple teams with a focus on AI-assisted engineering and automation at enterprise scale.
Strong cloud native engineering background, especially AWS, with proven ability to influence at leadership levels on technical strategy, budgeting, and operational efficiency.
Deep understanding of secure and responsible AI use in software development, capable of coaching managers and shaping governance for AI tools in engineering workflows.