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Cybersecurity Engineer, Cloud

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $130k - $140k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

Where this job comes from

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

First seen by Remote Rocketship 0 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

• Implement and maintain security controls across Microsoft 365 Commercial and GCC High, Azure, AWS, and hybrid services • Configure and test security policies, infrastructure-as-code controls, deployment automation, and integrations • Review technical findings, troubleshoot control failures, and recommend configuration changes to reduce risk • Administer assigned cloud security posture management and workload protection capabilities • Maintain platform health and configuration, tune controls, document exceptions, and identify cloud coverage gaps • Integrate cloud security telemetry with Security Operations and the managed security service provider • Support escalated investigations requiring cloud expertise • Coordinate exposure prioritization and tracking with Vulnerability Management and cloud platform owners • Implement and validate technical controls supporting CMMC and applicable NIST requirements • Support Microsoft 365 GCC High and CUI workloads • Translate DFARS, ITAR, ISO 27001, Australia DISP, UK Cyber Essentials Plus, GDPR, and other requirements into cloud configurations • Perform technical risk assessments and control testing; maintain implementation records, evidence, exceptions, and remediation status • Implement and operate security controls for approved AI and machine-learning services, copilots, generative AI applications, RAG, agents, and tool integrations • Configure identity, access, data-source permissions, secrets handling, execution boundaries, sandboxing, tool restrictions, approvals, network egress, and logging safeguards • Test controls against prompt injection, sensitive-data exposure, unsafe tool execution, over-privileged agents, and other AI security risks • Evaluate AI service configurations and platform features for security, privacy, data residency, government-cloud availability, and CUI handling • Automate AI security configurations and validation checks through policy, scripting, infrastructure as code, and deployment pipelines • Integrate AI activity and security telemetry with enterprise monitoring and support investigations • Collaborate with Identity, Network Security, Data Security, Detection and Incident Response, IT, program sites, and application teams • Maintain configuration standards, implementation guides, diagrams, operating procedures, and support documentation • Participate in second-level SOC activities and respond to critical incidents escalated by an MSSP • Provide infrequent off-hours support as needed • Perform other duties as assigned

🎯 Requirements

• U.S. citizenship is required for this position • Bachelor's degree in cybersecurity, information technology, computer science, engineering, or a related field, or an equivalent combination of education and relevant experience • Five years of related experience, including three or more years of relevant experience in cloud, security, systems, or infrastructure engineering • Hands-on experience with Microsoft cloud or AWS security capabilities • Ability to support Microsoft 365, Azure, AWS, and hybrid services as needed • Experience implementing or maintaining technical controls through cloud policy, scripting, automation, or infrastructure as code • Working knowledge of cloud identity, network security, data protection, logging, posture management, and workload protection concepts • Working knowledge of generative AI and agentic-system security risks • Ability to support technical risk assessments, control testing, remediation documentation, and audit evidence collection • Ability to troubleshoot technical issues, document work clearly, manage priorities, and collaborate with technical and non-technical partners • Experience with a cloud security posture management, workload protection, or cloud-native application protection platform • Practical experience with Microsoft 365 GCC High or a comparable government cloud environment • Direct experience supporting government, defense-industrial-base, CUI, or other regulated cloud environments • Working knowledge of CMMC, NIST SP 800-171, and NIST SP 800-172 concepts • Familiarity with DFARS, ITAR, ISO 27001, Australia DISP, UK Cyber Essentials Plus, GDPR, or comparable requirements • Hands-on experience securing cloud AI or machine-learning services, enterprise copilots, generative AI applications, retrieval-augmented generation, agents, or automated tool integrations • A relevant security or cloud certification is preferred, such as Security+, an Azure or AWS security certification, CCSP, 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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