Cloud Security Engineer

Omnissa•Atlanta, GA

3d•Remote

About The Position

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. The ideal candidate has experience working in a SaaS environment, can independently design and implement security controls, and partners closely with engineering teams to embed security early in system and AI design.

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.

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.