Job description

Job Title: Sr. Security Architect | CISSP | Azure Cloud Implementation Location: Washington, DC 20433 Duration: Long Term Contract Work Model: Hybrid – 4 Days Onsite from Day 1 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, 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: • Strong foundation in cybersecurity architecture, with 10+ years of hands-on experience in security reviews and compliance frameworks. • 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. Certifications: • Required: Professional-level certification in at least one major cloud provider (Azure preferred; AWS/GCP accepted). Preferred: • Microsoft Certified Cloud Solution Architect • Certified Information Systems Security Professional (CISSP) • Additional cloud security certifications are a plus. Soft Skills & Abilities: • Excellent communication and documentation skills. • Ability to work independently with minimal supervision. • Strong analytical and problem-solving mindset. • Comfortable working under tight deadlines and in high-pressure environments. 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). “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

Requirements