Top 209 Cloud security Jobs in Raleigh, Nc

AI Security Engineer
MetLife —Cary, NC
- $120,000 - $180,000 a year
- Email
- Hybrid work
- 5 years
- System design
- Office
- Paid holidays
- Disability insurance
Cloud Computing and Virtualization Engineer
CSP —Raleigh, NC
- Mid-level
- Profit sharing
- Disability insurance
Microsoft Security Active Directory Senior Consultant
Deloitte —Raleigh, NC
- $105,400 - $207,800 a year
- Full-time
- Computer Science
- Up to 50% travel
- System design
4d
Security Engineer - Cloud Security Engineer
Truist Bank —Raleigh, NC
- $100,000 - $126,000 a year
- Full-time
- 5 years
- English
- Analysis skills
- AD&D insurance
- Paid holidays
13d
Cloud Security Engineer (AWS)
Pedestal Health —Durham, NC
- Hybrid work
- Computer Science
- 5 years
- System design
- Paid parental leave
- Paid holidays
Security Engineer III
Aspirion —Durham, NC
- $150,000 a year
- Full-time
- Computer Science
- DevOps
- HIPAA
Quick Apply
Senior Security Engineer
Cisco Systems —Research Triangle Park, NC
- $137,000 - $277,600 a year
- Full-time
- Hybrid work
- Office
- Master's degree
- Bachelor's degree
- Paid parental leave
- Paid holidays
5d
Assistant Vice President
Deutsche Bank —Cary, NC
- $141,378 - $165,000 a year
- Azure
- 5 years
- AWS
- Referral program
Senior Engineer - Data Security
MetLife —Cary, NC
- $90,000 - $130,000 a year
- Email
- Hybrid work
- Office
- Travel
- US work authorization
- Paid holidays
- Disability insurance
Microsoft 365 Security Consultant
Deloitte —Raleigh, NC
- $82,600 - $162,800 a year
- Full-time
- Computer Science
- Up to 50% travel
- Bachelor of Science
13d
Cyber Security Engineering, Sr Staff Engineer
Synopsys —Morrisville, NC
- $161,000 - $242,000 a year
- Azure
- Computer Science
- 5 years
Senior Security Engineer - Proxy & Cloud Security Platform
Truist Bank —Raleigh, NC
- $120,000 - $150,000 a year
- Full-time
- 7 years
- System design
- English
- AD&D insurance
- Paid holidays
AWS cloud engineer
Infomerica —Cary, NC
- Azure
- System design
- Java
Cloud Senior Principal Engineer
University of North Carolina System —Raleigh, NC
- Full-time
- System design
- Office
- Master's degree
4d
Security Sales Specialist II, Google Cloud Fraud Defense
Google —Raleigh, NC
- $116,000 - $170,000 a year
- Full-time
- 7 years
- English
- Bachelor's degree
Security Analyst
Lucid Software —Raleigh, NC
- Hybrid work
- Azure
- Mid-level
- AWS
Quick Apply
Consulting/Principal Security Engineer
LexisNexis —Raleigh, NC
- $104,900 - $174,700 a year
- Full-time
- Computer science
- Azure
- Computer Science
SME - Ansible, Terraform, GITHub
HCLTech —Cary, NC
- From $118,000 a year
- Continuous improvement
- Software development
- Linux
Senior Manager - IT Security
Arista Networks —Raleigh, NC
- $152,000 - $198,000 a year
- Full-time
- Hybrid work
- Computer Science
- 11+ years
- Master's degree
- Health insurance
- Dental insurance
Quick Apply
Manager Security Compliance and Risk Management
LexisNexis —Raleigh, NC
- $118,300 - $219,800 a year
- Full-time
- Computer science
- Azure
- 6 years
11d

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cloud security jobs near raleigh, nc

AI Security Engineer

MetLife -
Cary, NC

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Job Details

Full-time
$120,000 - $180,000 a year

Benefits

Paid holidays
Disability insurance
Health insurance
Dental insurance
Tuition reimbursement
Paid time off
Parental leave
Employee assistance program
Vision insurance
401(k) matching
Volunteer time off
Life insurance

Qualifications

Containerization systems
Scripting
Third-party risk management
Monitoring system implementation
Cloud services
Cross-functional communication
IT security monitoring

Full Job Description

General Information

Location

Cary, North Carolina

Alternative Location(s)

Posting Location: New York, New York

Posting Location: Whippany, New Jersey

Posting Location: Bridgewater, New Jersey

Posting Location: Clarks Summit, Pennsylvania

Posting Location: Greenville, South Carolina

Posting Location: Tampa, Florida

Posting Location: Albany, New York

Working Schedule

Full-Time

Work Arrangement

Hybrid

Travel Required

10%

Relocation Assistance Available

Posted Date

09-Jul-2026

Job ID

18407

Description and Requirements

The Team You Will Join

As part of MetLife’s Global Security team, you’ll work alongside world-class experts to protect MetLife, our customers and our colleagues. The team is responsible for managing cybersecurity, IT risks and vulnerabilities, physical security, and more. In this fast-paced, mission-driven environment, you’ll join outstanding teammates to expand your skills, collaborate across the organization and implement innovative approaches to safeguard MetLife when it matters most. Ready to make an impact? Join us if you want to embrace the rapidly evolving environment and use transformative technology to integrate and build security into the foundation of key initiatives across MetLife.

The Opportunity

The Senior Engineer – AI Security Engineering will serve as a senior individual contributor focused on the design, build, deployment, and continuous improvement of security controls for AI systems across the enterprise.

This is a hands-on engineering role for a technically strong practitioner who can partner across security, cloud, platform, and application teams to secure AI use cases at scale.

Core Focus Areas

Engineer and operationalize security controls for AI systems, services, and supporting infrastructure
Accelerate safe adoption of AI capabilities across business and technology teams
Evaluate, pilot, and implement AI security tooling and control frameworks
Improve visibility, detection, and risk reduction for enterprise AI usage
Provide technical guidance and implementation patterns for secure AI deployment

Key Responsibilities

1. AI Security Engineering & Platform Controls

Engineer and operationalize controls for:
- Prompt protection and filtering
- Sensitive data protection in AI workflows
- Secure model access and service integration
- Policy enforcement for AI usage and governance requirements
Contribute to the design and implementation of reusable AI security capabilities across enterprise environments
Help define secure patterns for enterprise AI services, vendors, and internal use cases

2. AI Environment Hardening

Secure AI hosting environments, including:
- Cloud-native platforms
- Containerized and Kubernetes-based workloads
Integrate security controls into:
- Application and deployment pipelines
- AI/ML lifecycle workflows
- Runtime environments
Validate configurations, reduce attack surface, and improve control effectiveness

3. Detection, Monitoring & Response

Improve technical visibility into:
- AI system usage and behavior
- Model misuse, anomalous activity, and data exposure risks
Partner with SOC and detection engineering teams to:
- Develop detections and telemetry use cases
- Improve monitoring coverage for AI platforms and workflows
- Reduce manual effort through automation and enrichment

4. Engineering Execution & Innovation

Lead hands-on engineering, prototyping, and implementation activities
Evaluate emerging AI security tools, patterns, and techniques through proof-of-concept work
Identify design and control gaps in AI, cloud-native, and application environments
Develop practical solutions that improve security while supporting speed and usability

5. Cross-Functional Collaboration

Partner with:
- Cloud and platform engineering
- Application development teams
- AI/ML engineering teams
- Security architecture, governance, and risk stakeholders
Translate security requirements into implementation guidance, engineering standards, and actionable technical patterns
Support adoption by providing practical recommendations and technical enablement

6. Technical Influence

Serve as a senior technical contributor and subject matter resource for AI security engineering
Help shape standards, guardrails, and repeatable patterns for secure AI deployment
Stay current with the evolving AI threat landscape, emerging architectures, and control capabilities
Share technical knowledge and mentor peers informally across the organization

Required Qualifications

5+ years of experience in security engineering, cloud security, platform engineering, or a related technical discipline
Experience delivering enterprise-scale security engineering solutions in complex environments
Demonstrated success in a senior individual contributor role requiring strong technical ownership and cross-functional collaboration

Core Technical Expertise

Strong knowledge of cloud security fundamentals, one or more of the following,
- IAM
- Network segmentation
- Encryption
- Secrets management
- Logging and monitoring
- Least privilege and workload isolation
Experience with modern application, platform, and infrastructure security practices
Working knowledge of AI/ML systems, one or more of the following:
- Generative AI and LLM-based services
- Agentic workflows and AI integrations
- Model access patterns, APIs, and orchestration layers
- AI-related architectural risks including MCP and A2A interaction patterns

AI Security Knowledge

Understanding of AI security risks, one or more of the following:
- Prompt injection
- Sensitive data exposure
- Insecure or untrusted output handling
- Model misuse and excessive privilege
- Third-party and supply chain risks
Familiarity with:
- OWASP Top 10 for LLM Applications
- Secure AI engineering practices
- AI risk and governance concepts

Hands-On Engineering Capability

Experience in one or more of the following:
- DevSecOps
- Platform engineering
- Infrastructure automation
- Security engineering for cloud-native applications
Working knowledge of:
- Kubernetes and container security
- Pods, RBAC, secrets, and network controls
- Policy enforcement and configuration validation
Ability to write or review scripts and automation in support of validation, telemetry, or operational efficiency

Data Security

Experience helping secure sensitive data in modern application or AI contexts, one or more of the following:
- Data classification
- Access controls
- Privacy boundaries
- Retention concepts
- DLP-related requirements

Mindset

Strong curiosity and adaptability in a rapidly evolving technical landscape
Practical problem solver with strong engineering judgment
Effective communicator able to work across technical and non-technical stakeholders

Preferred Qualifications

Experience:
- Hardening Kubernetes and cloud-native environments at scale
- Securing software or container supply chains, including SBOM, signing, or integrity validation
- Implementing runtime security controls and policy enforcement
Familiarity with AI ecosystem components such as:
- Model pipelines and inference services
- Vector databases and RAG systems
- AI gateways, proxy layers, and prompt orchestration frameworks
Exposure to:
- Detection engineering and alert tuning
- Incident triage in cloud-native or distributed environments
- Security automation for operational efficiency
Certifications (Preferred)
- CCSP or equivalent cloud security certification
- Microsoft SC-100
- CKA or CKS
- AI-related certifications (e.g., AI-900 or similar)

Location Expectation: This is a hybrid role requiring a minimum of 3 days per week in office.

The expected salary range for this position is $120,000- $180,000. This role may also be eligible for annual short-term incentive compensation and stock-based long-term incentives. All incentives and benefits are subject to the applicable plan terms.

Benefits We Offer

Our U.S. benefits address holistic well-being with programs for physical and mental health, financial wellness, and support for families. We offer a comprehensive health plan that includes medical/prescription drug and vision, dental insurance, and no-cost short- and long-term disability. We also provide company-paid life insurance and legal services, a retirement pension funded entirely by MetLife and 401(k) with employer matching, group discounts on voluntary insurance products including auto and home, pet, critical illness, hospital indemnity, and accident insurance, as well as Employee Assistance Program (EAP) and digital mental health programs, parental leave, paid time off, paid holidays, volunteer time off, tuition assistance and much more!

About MetLife

Recognized on Fortune magazine's list of the "World's Most Admired Companies", Fortune World’s 25 Best Workplaces™, as well as the Fortune 100 Best Companies to Work For®, MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.

Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible. Join us!

MetLife is an Equal Opportunity Employer. All employment decisions are made without regards to race, color, national origin, religion, creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, marital or domestic/civil partnership status, genetic information, citizenship status (although applicants and employees must be legally authorized to work in the United States), uniformed service member or veteran status, or any other characteristic protected by applicable federal, state, or local law (“protected characteristics”).

If you need an accommodation due to a disability, please email us at [email protected]. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.

MetLife maintains a drug-free workplace.

Apply Now

Refine Your Search

cloud security jobs in raleigh, nc

AI Security Engineer

Cloud Computing and Virtualization Engineer

Microsoft Security Active Directory Senior Consultant

Security Engineer - Cloud Security Engineer

Cloud Security Engineer (AWS)

Security Engineer III

Senior Security Engineer

Assistant Vice President

Senior Engineer - Data Security

Microsoft 365 Security Consultant

Cyber Security Engineering, Sr Staff Engineer

Senior Security Engineer - Proxy & Cloud Security Platform

AWS cloud engineer

Cloud Senior Principal Engineer

Security Sales Specialist II, Google Cloud Fraud Defense

Security Analyst

Consulting/Principal Security Engineer

SME - Ansible, Terraform, GITHub

Senior Manager - IT Security

Manager Security Compliance and Risk Management

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