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Metro location and generic senior engineering title increase competition, but seniority and niche leadership partially limit applicants.
Core backend and cloud skills are transferable, though leadership and enterprise-platform experience raise domain specificity.
Explicit 15+ years requirement plus technical, leadership, and AI/cloud mandates make filters highly stringent.
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Lead and mentor software development teams managing end-to-end project delivery and setting high engineering standards.
Drive architecture decisions and ensure scalable, high-quality delivery aligned with business objectives, including modernization using cloud-native and modular architectures.
Champion AI-first approach in software engineering and collaborate across multiple teams to innovate and solve complex problems.
15+ years of experience in software engineering with a proven track record leading development teams.
Bachelor’s or Master’s degree in Computer Science, IT, or related field required.
Strong knowledge of enterprise application architecture and experience with cloud-native environments and system modernization.
Technical proficiency in programming languages (Java, C++, Python or others), container orchestration (e.g., Kubernetes), and AI/ML concepts.
Experienced leader capable of managing and mentoring cross-functional engineering teams in complex and ambiguous environments.
Proven ability to deliver large-scale distributed systems with strong operational and project management skills.
Strategic thinker with deep expertise in AI adoption, platform modernization, and setting high engineering standards suitable for a senior engineering leadership role.