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Senior Cybersecurity Architect, Cloud

Job not on LinkedIn

🔥 32 minutes ago

🇺🇸 United States – Remote

💵 $150k - $165k / year

⏰ Full Time

🟠 Senior

☁️ Cloud Engineer

Where this job comes from

Posted on Amentum's careers page, not through a job board

First seen by Remote Rocketship 32 minutes ago

Logo of Amentum

Amentum

10,000+ employees

💼 Consulting

📦 Logistics

🏭 Manufacturing

💰 Private Equity Round on 2020-01

Consulting • Logistics • Manufacturing

Amentum is a global leader in advanced engineering and innovative technology solutions, serving the United States and its allies to tackle complex challenges in science, security, and sustainability. With over 53,000 employees spread across 80 countries, Amentum specializes in fields such as energy, defense, and space, offering tailored solutions including data analytics, cyber services, and sustainability initiatives.

📋 Description

• Design and implement security controls and reusable patterns across Microsoft 365 Commercial and GCC High, Azure, AWS, and hybrid services • Design and implement secure architectures for generative AI, machine learning, enterprise copilots, and agentic systems • Perform hands-on configuration, testing, troubleshooting, tuning, control validation, and operational support • Build and maintain infrastructure-as-code components and deployment automation for security policies, controls, and platform onboarding • Lead design reviews and threat modeling for new services, major changes, and high-risk use cases • Engineer and administer cloud security posture management and workload protection capabilities • Lead complex platform changes and escalations while sharing implementation, tuning, and support work with the Cloud Security Engineer • Integrate cloud security telemetry with enterprise monitoring and response platforms • Support escalated investigations requiring cloud or AI security expertise • Partner with Vulnerability Management on exposure prioritization and remediation tracking • Design and validate technical controls supporting CMMC and applicable NIST requirements • Develop secure patterns for Microsoft 365 GCC High and CUI workloads • Lead technical risk assessments and control testing; document compensating controls and exceptions • Provide implementation evidence and technical support for internal and external assessments • Define identity, access, data protection, sandboxing, tool restriction, human approval, network egress, and audit logging controls for AI systems • Evaluate AI platforms, models, services, and features for security, privacy, data residency, government-cloud availability, CUI suitability, and integration risk • Develop reference implementations, infrastructure-as-code components, deployment automation, and validation methods for AI safeguards • Integrate requirements from Identity, Network Security, Data Security, Vulnerability Management, and Security Operations into cloud implementations • Provide design and engineering guidance to cloud platform owners, application teams, IT, and connected program sites • Maintain configuration standards, implementation guides, reusable deployment patterns, diagrams, threat models, operating procedures, and decision records • Mentor engineers, review technical work, and provide hands-on support without personnel-management responsibility

🎯 Requirements

• U.S. citizenship is required • Typically eight or more years of relevant experience, including five years in cloud, security, systems, or infrastructure engineering • Bachelor's degree in cybersecurity, information technology, computer science, engineering, or a related field, or an equivalent combination of education and relevant experience • Strong hands-on knowledge of Microsoft cloud or AWS security capabilities • Practical experience supporting Microsoft 365, Azure, AWS, and hybrid services • Experience designing, deploying, and troubleshooting controls for cloud identity, network segmentation, data protection, logging, posture management, and workload protection • Experience applying cloud security principles to AI or machine-learning services, generative AI applications, enterprise copilots, agents, or comparable automated platforms • Experience with threat modeling and control design • Experience using infrastructure as code, source control, scripting, and deployment automation • Experience with technical risk assessment and translating security or regulatory requirements into working technical solutions • Preferred: experience with cloud security posture management, workload protection, or cloud-native application protection platforms • Preferred: experience supporting government, defense-industrial-base, CUI, or other regulated cloud environments • Preferred: hands-on experience with Microsoft 365 GCC High or comparable government cloud environments • Preferred: working knowledge of CMMC, NIST SP 800-171, and NIST SP 800-172 • Preferred: familiarity with DFARS, ITAR, ISO 27001, Australia DISP, UK Cyber Essentials Plus, GDPR, or comparable requirements • Preferred: hands-on experience securing retrieval-augmented generation, agentic workflows, AI connectors and tools, model or data integrations, or AI security monitoring • Preferred: relevant security or cloud architecture certification such as CISSP, CCSP, Azure or AWS security/architecture certification, or comparable training

🏖️ Benefits

• Health, dental, and vision insurance • Paid time off and holidays • Retirement benefits, including 401(k) matching • Educational reimbursement • Parental leave • Employee stock purchase plan • Tax-saving options • Disability and life insurance • Pet insurance

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