Senior Security Architect CISSP

Job Title: Senior Security Architect CISSP 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.”