Omnissa
Cloud Security Engineer
Remote - USA · Senior
Sponsorship not specified$130k-$210kDetected 139 days ago
PythonBashPowerShellAWSAzureCloud PlatformsKubernetesCI/CDLLMsCybersecurityMicrosoft DefenderZero TrustCollaboration
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odds of building a lasting career here
61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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from this employer's Department of Labor filings
Files H-1B transfers
4 transfer filings in the last year, covering 4 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- We integrate industry-leading solutions-including Unified Endpoint Management, Virtual Apps and Desktops, Digital Employee Experience, and Security & Compliance-into a seamless, autonomous workspace that adapts to how people work.
- Our platform boosts employee engagement while optimizing IT operations, security, and cost.
- If you're passionate about shaping the future of work, we'd love to hear from you.
Responsibilities
- Guided by our Core Values- Act in Alignment, Build Trust, Foster Inclusiveness, Drive Efficiency, and Maximize Customer Value -we're growing rapidly and committed to delivering meaningful impact.
- Data Security: 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.
- Guardrails & Standards: Define and maintain security standards, reference architectures, and design patterns used by engineering teams.
Nice to have
- 8+ years of experience in security, cloud, or platform engineering.
- Prior experience working at a SaaS company supporting production, multi‑tenant services.
- Experience securing containerized and Kubernetes environments.
- Experience with Wiz strongly preferred
- experience with other Cloud Security Posture Management (CSPM/CNAPP) tools (e.g., Prisma Cloud, Lacework, Orca, Defender for Cloud) is a plus.
- 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.
Skills
- Zero Trust: Apply Zero Trust principles across identity, network segmentation, and workload access in cloud and SaaS environments.
- Strong cloud architecture and hands-on engineering experience (AWS and/or Azure).
- Solid understanding of cloud security, identity, workload protection, and data security concepts.
Compensation
- The typical base salary for this role is between USD $130,350 - $210,000 per year and it may be eligible for participation in a corporate bonus program.
- Actual compensation offer may vary from posted hiring range based upon geographic location, work experience, education, skill level, or other relevant factors.
- In addition to competitive compensation, Omnissa offers a variety of benefits such as employee ownership, health insurance, 401k with matching contributions, disability insurance, paid-time off, growth opportunities, and more.
Benefits
- Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-from anywhere experiences.
Company info
- Omnissa is an Equal Employment Opportunity company and Prohibits Discrimination and Harassment of Any Kind:
Visa & Work Authorization
- This job requisition is not eligible for employment-based immigration sponsorship by Omnissa.
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This listing is sourced directly from Omnissa's careers page and normalized into a canonical job model.