Back
Niche DevSecOps+AI specialization and seniority reduce applicants, but metro location and general DevOps demand increase competition.
Role requires specific Azure DevSecOps and AI application experience, limiting cross-industry transferability.
Explicit 7–10 years, Azure, security, and CI/CD requirements enforce strict filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own the transformation of business-built AI prototypes into secure, production-grade risk applications adhering to enterprise engineering and security standards.
Establish and enforce development standards, governance, testing frameworks, deployment pipelines, and production readiness for AI applications on Azure.
Collaborate across platform, security, and business teams to deliver scalable, auditable, maintainable AI solutions with robust operational and monitoring controls.
7-10 years of work experience in related roles.
Bachelor's degree in Engineering/Technology (B.E./B.Tech), MCA, MBA in Information Systems, Computer Science, or related field.
Strong hands-on expertise with React, TypeScript, JavaScript, Node.js, Python, and Azure cloud services (App Service, Functions, Container Apps, API Management, Key Vault, Managed Identity).
Proven experience in DevOps/CI-CD pipelines using GitHub Enterprise, GitHub Actions, Azure DevOps, and in secure software development lifecycle practices.
Experienced in building and operationalizing AI, GenAI, LLM, RAG, and agent-based applications with practical secure engineering controls.
Skilled in cross-functional stakeholder management, able to influence and mentor teams on secure DevSecOps best practices without direct authority.
Works well in regulated environments, ideally with knowledge of risk management, financial services compliance, and enterprise data governance.