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Strong Tier-1 brand and metro hiring increase competition despite senior, specialized requirements.
Deep platform, cloud, security, and AI automation expertise required, limiting cross-industry transferability.
Explicit 12+ years, principal level, and mandatory DevSecOps/AI skills create highly selective filters.
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Lead the design and scaling of enterprise CI/CD platforms, driving modernization of software delivery and platform engineering across multiple organizations.
Implement and automate Secure SDLC practices, integrating security tooling and governance frameworks into software pipelines.
Design and operationalize AI-enabled DevSecOps workflows including RAG pipelines and agent-based automation to enhance developer productivity and security.
12+ years experience in Platform Engineering, DevSecOps, SRE, Cloud Infrastructure, or related roles.
Hands-on expertise with enterprise CI/CD tools like GitHub Actions or Jenkins and proficiency in Python, Go, Java, or Node.js.
Strong knowledge of cloud platforms (AWS, Azure, or GCP), Kubernetes, Infrastructure as Code, and Secure SDLC including SAST, DAST, and SCA tool integration.
Practical experience with AI/GenAI technologies including LLMs, RAG pipelines, and AI-assisted automation workflows.
Proven senior individual contributor capable of independently leading large-scale technical initiatives across complex engineering organizations.
Expert in cloud-native DevSecOps, security automation, and AI/GenAI integration with strong operational and platform engineering skills.
Experienced in collaborating across multiple functions (Security, Infrastructure, QA, SRE) to influence engineering standards and delivery effectiveness at scale.