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Tier-1 employer and metro location increase competition, but senior 11+ years requirement reduces applicant pool.
Core backend, cloud, and architecture skills are transferable, though healthcare compliance preferences increase sensitivity.
Explicit 11+ years, cloud, architecture, leadership, and mandatory tech skills create stringent filters.
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Lead technology design and architecture decisions, focusing on reusable modular solutions and AI productivity tool adoption.
Continuously improve software applications across design, build, deploy, test, and runtime phases in cloud environments.
Propose both low-level (task/story) and high-level (epic) designs, troubleshoot complex technical issues in distributed systems, and effectively communicate with leadership and teams.
11+ years of experience in software development and design, including architecture with Java, Spring, Spring Boot.
3+ years of hands-on experience in production cloud environments, with 2+ years designing and implementing cloud applications (preferably Microsoft Azure).
2+ years of experience leading engineering teams.
Experience with AI coding tools (Copilot, Claude, Codex) and software design/architecture patterns.
Experienced tech leader capable of making architectural decisions and driving engineering best practices in cloud-based, AI-augmented development environments.
Comfortable designing scalable, maintainable systems, and addressing complex distributed system challenges, with leadership exposure.
Preferably has a background in full-stack development, microservices architecture, CI/CD pipelines, and experience in healthcare domain or sensitive data environments.