Provide cloud security capabilities that are proactive, preventive-focused models that address modern threats, including those driven by AI-enabled attack techniques.
Expanding into next-generation security domains such as AI/ML security, container security, and advanced threat detection and response.
Help design, implement, and scale security controls across multi-cloud and hybrid environments.
Focus on securing cloud-native and AI-driven systems through strong engineering practices, automation, and collaboration with platform and product teams.
Design and implement cloud security controls that reduce risk and improve prevention, detection, and response capabilities.
Contribute to securing multi-cloud and hybrid environments across AWS, Azure, GCP, and on-premise infrastructure.
Implement security controls for AI/ML workloads, including protecting data pipelines, model services, and AI-integrated applications.
Identify and help mitigate AI-specific risks such as prompt injection, data poisoning, and model/data leakage.
Apply DevSecOps and Infrastructure-as-Code (IaC) practices to integrate security into CI/CD pipelines.
Partner with product and platform teams to implement secure architecture patterns and cloud security standards.
Utilize CNAPP platforms and related tools to identify and remediate risks across cloud, container, and AI environments.
Implement and maintain security controls for containerized environments, including Kubernetes cluster configuration, image scanning, and runtime protection.
Support monitoring, detection, and response capabilities, including integration with cloud-native telemetry and security tooling.
Participate in threat modeling and risk assessments (Attack Surface Management, Data Security Posture Management, etc.) for cloud-native and AI-enabled systems.
Develop and maintain automation solutions to improve security coverage and operational efficiency.
Deploy and manage infrastructure using Infrastructure-as-Code (IaC) tools and best practices.
Contribute to security initiatives and projects, helping deliver measurable improvements to the organization’s security posture.
Support security operations and internal service requests, contributing to continuous process improvement.
Requirements
Bachelor’s or Master’s degree in Computer Science, Information Security, or related field (or equivalent experience); typically 5–8+ years of relevant experience
Experience designing and securing cloud and hybrid environments (AWS, Azure, GCP, On-Premise)
Proficiency in one or more programming or scripting languages, with experience interacting with cloud APIs and automation workflows
Strong understanding of cloud security fundamentals, including IAM, network security, encryption, and secure architecture design
Experience implementing DevSecOps practices and securing Infrastructure-as-Code (IaC) workflows