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Tier-1 brand plus mid-level generalist engineering manager role and popular .NET skillset increases applicant competition.
General .NET and microservices skills transfer well, but finance compliance and responsible-AI emphasis raises domain sensitivity.
Explicit 5+ years, managerial duties, and mandatory .NET, DB, and AI governance requirements imply high strictness.
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Lead multiple software engineering teams focused on developing enterprise applications using C# and the .NET ecosystem, including modern .NET versions and microservices architecture.
Manage day-to-day implementation activities ensuring compliance with business requirements, standards, and stakeholder expectations.
Drive adoption of AI-assisted engineering practices and SDLC automation to improve delivery speed, quality, and operational outcomes across teams.
5+ years of applied software engineering experience with formal training or certification; demonstrated coaching and mentoring experience.
Proficiency in C#, .NET Core/.NET 6+, and SQL; experience with responsive front-end UI development using React/Angular/TypeScript.
Experience leading technology projects and managing software engineering teams.
Knowledge of Software Development Life Cycle practices including automation, continuous delivery, and agile methodologies.
Experienced leader capable of setting technical guidance and managing cross-team dependencies in a financial technology environment.
Proficient in implementing responsible AI-assisted engineering workflows with awareness of data security, governance, and validation best practices.
Skilled in backend and frontend technology stacks with ability to optimize database schema and drive scalable microservices development.