The Sr Cloud Product Engineer, is a senior hands-on 60;engineering role responsible for the security, automation, compliance, and operational foundations of the Managed AI platform.

This role partners closely with the Lead 60;Engineer 60;and Lead Architect to build highly automated, secure, and scalable delivery practices across Azure, GCP, and future 60;cloud 60;environments. 60; The position focuses on CI/CD automation, platform security controls, compliance automation, Infrastructure as Code, observability, and AI governance enforcement.

This role acts as a technical leader for platform 60;engineering practices while remaining actively involved in 60;engineering, automation, security implementation, and incident response.

The Managed AI platform requires strong governance, security, identity, monitoring, and lifecycle controls as foundational capabilities. 60; Key Responsibilities 60; Design, implement, and maintain enterprise CI/CD pipelines supporting Managed AI platforms and services. 60; Develop Infrastructure as Code solutions for Azure, GCP, and future 60;cloud 60;environments. 60; Implement automated security controls throughout the software delivery lifecycle. 60; Build automated compliance validation and governance enforcement capabilities. 60; Implement continuous security scanning, vulnerability management, and policy enforcement. 60; Develop observability, monitoring, alerting, and operational automation solutions. 60; Build automated deployment mechanisms supporting zero-downtime releases. 60; Implement secret management, credential rotation, and privileged access controls. 60; Support prompt protection, AI governance, DLP integration, and enterprise AI security controls. 60; Integrate platform security tooling including Microsoft Defender, Cyera, Model Armor, and other enterprise security solutions.



60; Support 60;production release management and critical incident response activities. 60; Mentor offshore 60;engineers and contractors while remaining a hands-on technical contributor. 60; Participate in architecture reviews, code reviews, platform standards, and 60;engineering governance activities. 60; Required Skills 60; Strong Dev SecOps and Platform 60;Engineering experience. 60; Expertise with Terraform, Git Hub Actions, Git Hub Workflows, Azure Dev Ops, Power Shell, and automation frameworks. 60; Experience building enterprise CI/CD pipelines and deployment automation. 60; Strong Azure and GCP knowledge. 60; Experience implementing Infrastructure as Code at enterprise scale. 60; Experience with monitoring, observability, logging, and alerting platforms. 60; Strong understanding of cloud 60;security, identity, networking, governance, and compliance controls. 60; Morden tech stack - .NET, Python ,React.

Experience supporting high-availability 60;production environments. 60; Robust scripting and automation skills. 60; Preferred Skills 60; Experience with AI security frameworks and governance controls. 60; Experience implementing DLP, prompt inspection, prompt masking, and AI security controls. 60; Familiarity with Azure AI, Vertex AI, OpenAI, Gemini, and Anthropic ecosystems. 60; Experience with Microsoft Defender Suite, Cyera, Model Armor, and related security 60;products. 60; Morden tech stack - .NET, Python ,React.

Knowledge of Fin Ops, cost optimization, chargeback automation, and 60;cloud 60;governance. 60; Experience 60; 8+ years in Dev Ops, Platform 60;Engineering, Security 60;Engineering, or Automation 60;Engineering. 60; 3+ years supporting large-scale 60;cloud 60;platforms. 60; Experience operating within regulated enterprise environments. 60; Demonstrated ability to provide technical leadership while remaining hands-on. 60; Powered by JazzHR

📌 Sr Cloud Product Engineer - Fully Remote Opportunity (India)
🏢 Zealogics.com
📍 India