Senior Azure AI Security Engineer (Thane)

Role: DevSecOps Engineer Cloud & AI Security Location: Thane / Mumbai, India Start Date: ASAP Reporting to: Technical Project Manager About Quantanite Quantanite is a customer experience (CX) and digital outsourcing solutions company helping rapid-growing businesses and global brands rethink their operations. Through intelligent automation, GenAI, and exceptional people, we deliver measurable transformation and seamless service delivery across every touchpoint. Our global teams are passionate about innovation, agility, and purpose-driven results. About the Role We are seeking a DevSecOps Engineer Cloud & AI Security to take ownership of security implementation across Quantanite's application and cloud infrastructure estate. This is a hands-on, engineering-first role the person we hire will be equally fluent in application-layer security controls, Azure cloud hardening, and the emerging discipline of AI security. As Quantanite builds and deploys AI-powered applications and platforms on Azure, security must be robust and embedded into the development lifecycle, the deployment pipeline, and the infrastructure design. You will be the person who makes that happen: designing, implementing, and continuously improving security controls across software, data, and cloud infrastructure layers. The ideal candidate is not a policy writer but a practitioner someone who can threat-model an AI system, harden a Kubernetes cluster, build a secure CI/CD pipeline, and advise engineering teams on secure coding practices, all with equal confidence. Key Responsibilities 1. Application & Software Security Embed security controls throughout the software development lifecycle (SDLC) from design reviews and threat modelling to code scanning, testing, and post-deployment monitoring. Implement and manage SAST (Static Application Security Testing), DAST (Dynamic Application Security Testing), and SCA (Software Composition Analysis) tooling within CI/CD pipelines. Define and enforce s .