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Senior 10+ requirement, non-metro location, and mid-tier brand reduce applicant competition density.
Architecture and backend systems skills transfer across industries, but senior architecture bias limits some cross-industry fit.
Mandatory 10+ years, specific tech expertise, architecture experience and AI SDLC knowledge make filters strict.
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Design and own end-to-end architecture for scalable, secure, high-performing enterprise applications using modern web and cloud-native technologies.
Lead engineering teams by conducting architecture reviews, mentoring, providing technical leadership, and ensuring code quality across projects.
Drive adoption of AI-enabled Software Development Lifecycle practices and participate in technical solutioning, estimations, and pre-sales activities.
10+ years of software engineering experience including significant architecture roles.
Strong hands-on expertise in Node.js, Python, and React.js; career exclusively in Java or .NET is disqualifying.
Mandatory experience designing enterprise-scale applications with microservices, APIs, event-driven architectures, and cloud platforms (AWS/Azure/GCP).
Working knowledge of AI-enabled Software Development Lifecycle is mandatory.
Technology-agnostic architect with broad experience beyond exclusive Java or .NET ecosystems.
Experienced in leading engineering teams and collaborating with product, delivery, and business stakeholders for solution delivery.
Proficient with modern AI-assisted development workflows and cloud-native distributed system architectures.