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Tier-1 brand, mid-level full-stack title, metro location and broad skillset drive high competition.
Low: standard full-stack, cloud, and AI skills are readily transferable across industries.
High: explicit 5+ years requirement plus expectations for technical leadership and specific full-stack/cloud skills.
Lead complex, companywide technology initiatives with broad impact.
Develop and establish standards and best practices for engineering large-scale technology solutions.
Design, test, and review complex software solutions; lead projects or teams and mentor peers.
Minimum 5+ years of software engineering experience (or equivalent via training, education, military).
Strong development skills in C#, .NET Core or Java Spring Boot, and front-end frameworks like REACT or Angular JS.
Experience with microservices, cloud platforms (Azure preferred), databases, Docker, Kubernetes.
Knowledge/experience in AI-assisted dev tools and integrating AI capabilities using API/SDK-based services.
Experienced technical leader capable of guiding teams and influencing best practices across large-scale projects.
Deep expertise in full-stack development with emphasis on scalable, distributed systems and cloud-native technologies.
Familiar with AI/ML basics, responsible AI practices, and operational aspects of AI systems in enterprise contexts.