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Senior, non-metro role with specific mandatory tech and AI SDLC requirements reduces applicant competition.
Architecture skills are transferable across industries but mandatory stacks and AI SDLC increase domain specificity.
Multiple hard requirements: 10+ years, Node.js/Python/React, AI SDLC, and architecture experience make filters strict.
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Design and lead architecture for scalable, secure, high-performance enterprise applications using modern web, cloud-native, and distributed systems technologies.
Translate business requirements into technical architecture, solutions, and implementation strategies focusing on microservices, APIs, and event-driven systems.
Lead engineering teams, conduct architecture reviews, enforce technical standards, mentor teams, and drive adoption of AI-assisted engineering practices in AI-enabled SDLC.
10+ years of software engineering experience including significant architecture experience.
Strong hands-on expertise with Node.js, Python, and React.js; technology-agnostic mindset required; exclusive career focus on only Java or only .NET is disqualifying.
Experience in designing scalable enterprise applications and leading engineering teams.
Mandatory knowledge of AI-enabled Software Development Lifecycle (AI SDLC).
Experienced technical leader comfortable with diverse technologies beyond Java and .NET, emphasizing Node.js, Python, and React.js.
Strong background in cloud (AWS/Azure/GCP), microservices architecture, distributed systems, and modern DevOps practices.
Able to incorporate AI-enabled and AI-assisted development methods to drive technical innovation and engineering excellence.