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Mid-level generalist title, metro location, broad skillset, and multiple amplifiers drive high competition.
Core fullstack, cloud, and AI skills are transferable across industries despite preferred regulated-experience bias.
Explicit 5+ years, mandatory cloud/fullstack tech stack, leadership and architecture requirements increase strictness.
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Lead and manage software engineering teams delivering scalable, secure, AI-enabled cloud-native applications mainly on Azure and AWS platforms.
Own architectural decisions, technical strategy, and execution of complex software initiatives including design of microservices, APIs, and event-driven systems.
Drive adoption of modern engineering practices including CI/CD, Infrastructure as Code, DevSecOps, and AI-enabled development methodologies to improve delivery and innovation.
Bachelor's degree in Computer Science, Engineering, IT or equivalent experience.
5+ years software engineering experience with technical leadership and team management responsibilities.
Strong experience designing and delivering cloud-native applications on Microsoft Azure or AWS, including Azure PaaS services and CI/CD pipelines.
Experience with modern programming languages (Python, Node.js, TypeScript, C#, React) and software architecture principles such as microservices and event-driven design.
Experienced engineering leader with proven ability to lead and mentor software engineering teams in cloud-native and AI-enabled solution delivery.
Strong hands-on technical contributor comfortable with architecture design, coding, and driving engineering best practices.
Familiarity with AI technologies (Generative AI, LLMs, Azure OpenAI), modern automation, and operating in regulated enterprise environments is preferred.