Job description

Job Title: Architect Premium III Sr. Security Architect (CISSP & Azure Cloud Implementation) (W2) Location: Washington DC 20433 Duration: 12 Months Long Term W2 Contract Position Summary: We are seeking a highly experienced Security Architect with strong hands-on expertise in Azure Cloud Security AI/ML technologies and DevSecOps practices. This role will lead enterprise-level security strategy and architecture initiatives with a focus on cloud-native applications infrastructure as code(IaC) and AI/ML integrations. 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).

Requirements