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Tier-1 brand and metro location increase applicant density, senior level reduces competition.
Core full-stack and platform skills transfer across industries, though enterprise security and scale add some specificity.
Explicit 12+ years and many mandatory enterprise full-stack, architecture, and security skills make filters strict.
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Design, develop, and deliver secure, scalable full-stack solutions including UI, APIs, backend services, and database components.
Lead technical decisions and modernization initiatives influencing product design, architecture, and operational processes within Infrastructure Platforms.
Provide technical leadership, coaching, and drive adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
12+ years of applied software engineering experience with formal training or certification.
Strong full-stack SDLC experience with Java, Spring Boot, Python, React/Angular, microservices, distributed systems, and scalable architectures.
Hands-on expertise in system design, application development, testing, and operational stability in large-scale enterprise environments.
Experience leading AI-assisted software development tool use and ensuring secure, compliant engineering workflows.
Senior-level engineer with deep expertise in large-scale enterprise software architecture and full-stack development.
Proven track record of leading modernization, automation, and delivery optimization including AI-enabled engineering practices.
Comfortable managing multiple stakeholders and guiding teams on secure, resilient, and scalable solutions in complex environments.