Back
Strong employer brand and senior platform scope create moderate competition among experienced cloud-DevOps leaders.
Core cloud and platform skills transfer across industries, but financial compliance and supply-chain security raise sensitivity.
Extensive mandatory cloud, DevSecOps, platform engineering and AI requirements increase shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Define and lead technology roadmaps and solution architectures for Cloud, DevOps, and AI platforms driving enterprise modernization.
Lead cross-functional engineering teams on cloud transformation, platform engineering, DevSecOps, and AI-powered solution implementations including AI Agents and RAG architectures.
Mentor senior engineers and present technical strategies and outcomes to executive leadership while managing global engineering teams.
Experience Required: Proven leadership in Cloud Platforms (Azure, AWS), DevOps, CI/CD, Infrastructure as Code (Terraform), and AI technologies (LLMs, Agentic AI, RAG architectures).
Hands-on expertise with cloud-native technologies including Kubernetes, Serverless, and automation frameworks with strong knowledge of software supply chain security and SLSA framework.
Technical skills in Python, platform engineering, microservices, event-driven design, and enterprise integration patterns.
Work Schedule: Hybrid; Notice period: Not explicitly mentioned in the JD.
A senior technology leader with demonstrated success leading large-scale cloud modernization and AI transformation programs.
Experienced in architecting scalable, secure enterprise platforms integrating AI and DevOps with a strong grasp of platform standardization and automation.
Skilled at managing globally distributed engineering teams, mentoring senior engineers, and communicating strategy to executive stakeholders.