Omega Hires
Architect Premium IIISr. Security Architect (CISSP & Azure Cloud Implementation)
Omega Hires, Washington
Role: Architect Premium IIISr. Security Architect (CISSP & Azure Cloud Implementation)
Location: Washington, DC 20433
Duration: 12 Months Long Term Contract
Position Summary:
Need solid experience with Security Architecture, Azure Cloud, CISSP certification, API security, DevSecOps, IaC, AI/ML(plus to have).
Atleast 15 years is minimum expectation with 5+ years of security architecture focused experience
Key Responsibilities:
- Design and implement enterprise security architecture across cloud (Azure preferred), AI/ML workloads, and application layers.
- Conduct security reviews and threat modeling for new and existing solutions.
- Integrate DevSecOps practices and Infrastructure-as-Code (IaC) frameworks into application and infrastructure pipelines.
- Work collaboratively with cross-functional teams including infrastructure, data science, DevOps, and compliance.
- Drive secure implementation of APIs, Gen AI, and machine learning solutions.
Top Required Skills:
- Development background with a transition into security-focused architecture roles.
- Proficiency with IaC tools such as Terraform, CloudFormation, ARM Templates, and Ansible.
- Expertise in API Security and modern identity protocols.
- Experience with Azure Cloud Services (PaaS and IaaS).
- Familiarity with Office 365 Security and integration.
- Solid understanding of AI/ML technologies and Generative AI.
- The ideal candidate will have a background in development and has upskilled to become a security architect, focusing on cybersecurity rather than compliance.
- Strong experience in API security is required, ensuring the protection and integrity of APIs through robust security practices and protocols.
Preferred:
- Microsoft Certified Cloud Solution Architect
- Certified Information Systems Security Professional (CISSP) - Must Have
- Additional cloud security certifications are a plus.
Preferred Experience:
- Experience in Agile/Scrum and DevSecOps environments.
- Prior work in organizations with significant AI/ML initiatives.
- Knowledge of security within containerized environments (e.g., Kubernetes, Docker).
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