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Senior yet broad fullstack/cloud/AI requirements, metro hybrid location, and mid experience band increase competition.
Core cloud, fullstack, and AI skills are broadly transferable across industries despite healthcare domain preference.
Explicit 5+ years plus mandatory cloud, architecture, and CI/CD/IaC skills make screening stringent.
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Lead and manage software engineering teams delivering scalable, secure, AI-enabled cloud-native applications primarily on Microsoft Azure and AWS.
Own architectural decisions, technical strategy, and ensure successful execution of complex software initiatives including CI/CD, Infrastructure as Code, and DevSecOps practices.
Drive adoption of AI-enabled development, innovation, and continuous improvement while engaging with business stakeholders and technical teams for alignment and delivery.
Bachelor's degree in Computer Science, Engineering, IT, or related field (equivalent experience considered).
Minimum 5 years of software engineering experience with demonstrated technical leadership and team management responsibilities.
Strong experience designing and delivering cloud-native applications using Microsoft Azure, AWS, or equivalent cloud platforms with preferred knowledge of Azure services like Azure Functions, App Services, and Azure OpenAI.
Proven hands-on experience in modern web technologies (e.g., Python, Node.js, TypeScript, C#, React), software architecture principles, APIs, microservices, CI/CD pipelines, and Infrastructure as Code tools.
Experienced technical leader capable of managing and mentoring engineering teams in delivering complex AI-enabled and cloud-native software solutions.
Strong strategic and operational focus on modern software architecture, including event-driven systems, microservices, and DevSecOps in enterprise or consulting environments.
Deep expertise with Microsoft Azure technologies and familiarity with generative AI frameworks and intelligent automation to enhance developer productivity and business outcomes.