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Metro location, generalist fullstack scope, and 5+ mid-career targeting increase competition.
Strong cloud-native and architecture skills are transferable, but regulated healthcare context adds moderate specificity.
Explicit 5+ years, required cloud, IaC, CI/CD, and leadership skills create high shortlisting strictness.
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Lead and manage software engineering teams to deliver scalable, secure, AI-enabled cloud-native applications primarily on Microsoft Azure and AWS.
Own architectural decisions, establish engineering best practices, and drive delivery of complex software solutions including APIs, microservices, and CI/CD pipelines.
Champion AI integration and modern engineering practices to improve developer productivity and business outcomes while engaging directly with stakeholders for strategic alignment.
Bachelor's degree in Computer Science, Engineering, Information Technology or related field (equivalent experience also considered).
Minimum 5+ years of software engineering experience with demonstrated technical leadership and team management responsibility.
Strong experience with cloud-native application design and delivery using Microsoft Azure or AWS, including specific Azure services like App Services, Azure Functions, Azure OpenAI.
Experience with modern development technologies (e.g., Python, Node.js, TypeScript, C#, React) and CI/CD/Infrastructure as Code tools (e.g., Terraform, Bicep).
Experienced senior engineer capable of both hands-on development and technical leadership in cloud-native, AI-enabled software environments.
Strong background in software architecture for distributed, event-driven, and API-driven systems with modern cloud platforms (especially Microsoft Azure).
Proven ability to lead multi-project engineering teams, drive delivery outcomes, and effectively communicate with technical and non-technical stakeholders.