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Strong employer brand, broad senior platform role, metro location, and wide skillset requirements.
Requires specific cloud, DevOps, platform engineering and AI governance expertise, moderately transferability across industries.
Extensive mandatory technical stack and leadership expectations across cloud, DevSecOps, and AI platform governance.
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Define and lead technology roadmaps and architectures for Cloud, DevOps, and AI platforms with a focus on enterprise modernization and large-scale transformation programs.
Drive CI/CD, Infrastructure as Code, DevSecOps, and platform engineering initiatives to improve developer experience, security, and operational excellence.
Lead implementation of AI Agentic solutions, AI security standards, and mentor distributed senior engineering teams while presenting technical strategies to executives.
Work Experience Required: Significant experience in technology leadership roles involving Cloud, DevOps, AI, and platform engineering (exact years not explicitly mentioned).
Strong hands-on technical skills in Microsoft Azure, AWS, Kubernetes, Terraform, Python, and AI frameworks such as LangChain, LangGraph.
Experience leading cloud transformation, modernization initiatives, and managing globally distributed engineering teams.
Hybrid work schedule; no explicit degree or notice period requirements mentioned.
Experienced strategic technology leader with proven ability to lead enterprise-scale cloud and AI transformation programs.
Hands-on architect skilled in cloud platforms, DevOps automation, AI agent frameworks, and software supply chain security.
Capable of mentoring senior engineers, driving engineering standards, and communicating technology vision effectively to executive stakeholders.