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Strong brand, metro location, and broad senior platform/DevOps requirements create high candidate competition.
Core platform and DevOps skills transfer across industries, though financial services and AI governance add moderate domain specificity.
Many mandatory technical and leadership requirements (cloud, IaC, CI/CD, DevSecOps, Agentic AI) indicate high strictness.
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Define technology roadmaps and lead architecture strategies for Cloud, DevOps, and AI platforms at enterprise scale.
Lead modernization and cloud transformation programs, driving engineering best practices and platform standardization including automation.
Drive AI-powered solutions implementation, CI/CD, Infrastructure as Code, DevSecOps, and manage globally distributed engineering teams with stakeholder communication.
Work Experience Required: Not explicitly mentioned in the JD.
Strong hands-on expertise in Cloud Platforms (Microsoft Azure, AWS), Kubernetes, Serverless, and Infrastructure as Code (Terraform).
Experience with DevOps tools and practices including CI/CD platform design, software supply chain security, and automation frameworks.
Proven ability to lead large-scale transformation programs and manage globally distributed engineering teams.
Experienced technology leader able to define and execute enterprise cloud modernization and AI platform strategies.
Proficient in architecting scalable, secure microservices and event-driven solutions, with deep AI/Agentic AI expertise (LLMs, RAG Architecture, LangChain).
Demonstrates strong leadership in mentoring senior engineers, influencing executives, and fostering engineering excellence across global teams.