Key skills
Cloud SecurityAWSAzureSaaS SecurityContainer SecurityKubernetes SecuritySecurity ArchitectureAI SecurityOWASP LLM Top 10MITRE ATLASDevSecOpsCI/CD Pipeline SecuritySecurity AutomationPythonPowerShellBashSecurity CertificationsAILLMKubernetesSaaSCI/CDOWASPZero Trust
About this role
Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-from anywhere experiences. As a Security Engineer, you will be responsible for cloud security architecture and hands-on engineering, supporting SaaS platforms, containerized workloads, and AI-enabled services.
Responsibilities:
- Design and implement security controls across cloud platforms (AWS and/or Azure), SaaS services, containerized workloads, and Kubernetes environments, including identity, networking, and workload protection
- Participate in and lead security architecture and design reviews for new and existing systems, including AI-enabled services, to assess risk and define appropriate guardrails
- Partner with the Product Security team to embed security earlier in the development lifecycle by contributing to secure coding standards, CI/CD pipeline security gates, and developer security enablement
- Support data security initiatives across SaaS and AI-enabled services, including data classification, access controls, and data residency considerations for multi-tenant and regulated environments
- Secure containerized and Kubernetes environments, including pod security, network policies, image scanning, and runtime protection
- Apply AI security frameworks (e.g., OWASP LLM Top 10, MITRE ATLAS) to threat assessments and security architecture reviews for AI-enabled services
- Define and maintain security standards, reference architectures, and design patterns used by engineering teams
- Apply Zero Trust principles across identity, network segmentation, and workload access in cloud and SaaS environments
Requirements:
- 8+ years of experience in security, cloud, or platform engineering
- Strong cloud architecture and hands-on engineering experience (AWS and/or Azure)
- Prior experience working at a SaaS company supporting production, multi-tenant services
- Experience securing containerized and Kubernetes environments
- Solid understanding of cloud security, identity, workload protection, and data security concepts
- Ability to independently own security design and implementation for complex systems
- Experience securing AI platforms or AI-enabled services
- Familiarity with AI security frameworks such as OWASP LLM Top 10 and/or MITRE ATLAS
- Experience with DevSecOps practices, CI/CD pipelines, and security automation
- Scripting or automation experience (e.g., Python, PowerShell, Bash)
- Relevant security or cloud certifications
- Bachelor's Degree or equivalent combination of education and relevant professional experience