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Metro location and established SaaS employer increase applicant density despite senior specialization.
Strong enterprise Java and cloud architecture bias limits cross-industry transferability.
Explicit 10+ years, leadership, Java/Azure architecture and AI-assisted development make filters strict.
Own the long-term architectural strategy for enterprise SaaS products, focusing on scalability, performance, security, and regulatory compliance.
Provide cross-team technical leadership to drive modernization efforts, including legacy system refactoring and cloud-native adoption.
Lead integration of AI-assisted development tools to enhance coding, code review, testing, and legacy code modernization processes.
10+ years of professional software engineering experience including leadership on complex enterprise systems.
Strong expertise in Java, Oracle, RESTful API design, and modern backend architecture patterns.
Hands-on experience with AI-powered development tools such as GitHub Copilot, Claude, or similar and ability to set AI usage standards.
Experience building and operating cloud-based SaaS platforms, preferably on Microsoft Azure.
Experienced senior engineer capable of influencing architecture and technical direction across multiple teams in large enterprise environments.
Proven ability to lead modernization efforts combining legacy system knowledge with cloud-native architectures and AI-assisted development workflows.
Skilled mentor with the ability to establish AI best practices and elevate engineering standards around quality, security, and compliance.