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."