📍 Job Overview

• Job Title: Senior Security Engineer - Cloud & AI Protection Technology
• Company: U.S. Bank National Association
• Location: Cincinnati, Ohio, United States
• Job Type: Full time
• Category: Security Engineering
• Date Posted: 2025-07-30
• Experience Level: 5-10 years
• Remote Status: Hybrid (3+ days in-office)

🚀 Role Summary

• Key Responsibilities: Implement and support security solutions for cloud and AI assets, provide project leadership and risk management, evaluate and recommend new security products and technologies, collaborate with various teams to enhance security measures.
• Key Skills: Cloud Security, AI Protection, Automation, Risk Management, Cybersecurity Frameworks, Kubernetes, Containerization, Python, Terraform, Docker, Jenkins, Agile Methodology, DevSecOps, Compliance, Incident Response, Threat Protection.

💻 Primary Responsibilities

🔒 Security Solution Implementation & Management

• Cloud & AI Asset Protection: Implement and manage security solutions to protect cloud and AI assets from unauthorized access, use, disclosure, destruction, modification, or disruption.
• Risk Management: Identify, assess, and mitigate risks associated with cloud and AI technologies. Develop and maintain risk management strategies and plans.
• Security Architecture & Design: Design and implement security architectures and models that align with business objectives and comply with relevant standards and regulations.
• Security Project Leadership: Lead security projects, providing technical guidance, and ensuring project milestones are met.

🛡️ Threat Management & Emerging Technologies

• Threat Identification & Mitigation: Stay current with emerging threats in the cloud and AI landscape. Develop and implement mitigation plans to address identified threats.
• Product Evaluation & Recommendation: Evaluate and recommend new and emerging security products and technologies, focusing on the latest threats in the cloud and AI landscape.
• Security Training & Mentoring: Train and mentor team members on security best practices, tools, and technologies.

📊 Security Metrics & Reporting

• Security Metrics & Reporting: Develop and maintain security metrics and reports to track security performance and compliance. Continuously monitor and improve security controls and processes.

🎓 Skills & Qualifications

Education & Experience

• Education: Typically a Bachelor's degree or equivalent work experience.
• Experience: Typically five or more years of relevant experience in security engineering, with a strong focus on cloud and AI protection technologies.

Required Skills

• Cloud Security: Advanced technical and functional subject matter expert knowledge across cloud security domain areas.
• AI Protection: Experience in protecting AI-focused threats using AI to scale.
• Automation: Experience in automating cloud capabilities and security controls to improve efficiency and security.
• Risk Management: Proven ability to identify, assess, and mitigate risks associated with cloud and AI technologies.
• Collaboration: Strong communication skills, with the ability to articulate technical information to non-technical audiences and stakeholders at every level.

Preferred Skills

• Cloud Certifications: At least one cloud-specific Associate/Professional certification.
• Security Certifications: Commitment to achieve a security-specific certification within six months (e.g., CISSP or CCSP).
• AI Prompt Engineering: Experience in AI prompt engineering to enhance security and threat detection capabilities.

📊 Web Portfolio & Project Requirements

• Portfolio Essentials:
  • Documented experience in cloud security, AI protection, and risk management.
  • Examples of successful security projects led, including project charters, risk assessments, and security architectures.
  • Case studies demonstrating the ability to identify, assess, and mitigate security risks in cloud and AI environments.
• Technical Documentation:
  • Well-documented code and security processes, with a focus on version control, deployment processes, and server configuration.
  • Security testing methodologies, performance metrics, and optimization techniques tailored to cloud and AI environments.

💵 Compensation & Benefits

• Salary Range: $111,605 - $131,300 per year
• Benefits:
  • Healthcare (medical, dental, vision)
  • Basic term and optional term life insurance
  • Short-term and long-term disability
  • Pregnancy disability and parental leave
  • 401(k) and employer-funded retirement plan
  • Paid vacation (2-5 weeks depending on salary grade and tenure)
  • Up to 11 paid holiday opportunities
  • Adoption assistance
  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

🎯 Team & Company Context

🏢 Company Culture

• Industry: Financial Services
• Company Size: Large (50,000+ employees)
• Founded: 1863
• Team Structure:
  • Large, distributed security team with specialized roles in cloud and AI protection.
  • Collaborative, cross-functional teams working with various business units to enhance security measures.
• Development Methodology:
  • Agile methodologies (Scrum, Kanban) for security project management and continuous improvement.
  • DevSecOps capabilities in cloud offerings using automation, standardization, best practices, and security frameworks.

📈 Career & Growth Analysis

• Web Technology Career Level: Senior Security Engineer - Cloud & AI Protection Technology
• Reporting Structure: Reports to the Manager, Security Technology Engineering & Operations (STEO) cloud team.
• Technical Impact: Significant influence on cloud and AI security strategies, risk management, and threat mitigation across the organization.

🌐 Work Environment

• Office Type: Hybrid (3+ days in-office)
• Office Location(s): Minneapolis, MN; Cincinnati, Ohio; Charlotte, NC; Irving, TX
• Workspace Context:
  • Collaborative, open-plan offices with dedicated workspaces and multiple monitors.
  • Access to testing environments, security tools, and cloud platforms.
  • Opportunities for cross-functional collaboration with various business units and technology teams.
• Work Schedule: Flexible, with an emphasis on work-life balance and remote work options.

🛠 Technology Stack & Web Infrastructure

• Cloud Platforms: AWS and Azure
• Security Technologies:
  • Intrusion detection and prevention systems (IDPS)
  • Identity and access management (IAM) solutions
  • Cloud security posture management (CSPM) tools
  • Cloud security access broker (CASB) solutions
  • Security information and event management (SIEM) systems
• Automation Tools:
  • Python and Terraform for infrastructure as code (IaC) and automation workflows.
  • Jenkins for continuous integration and deployment (CI/CD) pipelines.
• AI Technologies:
  • Natural language processing (NLP) and machine learning (ML) for threat detection and response.
  • AI prompt engineering for security use cases and optimization.

👥 Team Culture & Values

• Security Values:
  • Proactive risk management and mitigation.
  • Continuous learning and improvement.
  • Collaboration and communication across teams and business units.
  • Compliance with relevant standards and regulations.
• Collaboration Style:
  • Cross-functional integration between security, development, and business teams.
  • Active participation in security communities and industry forums.
  • Knowledge sharing, mentoring, and continuous learning opportunities.

⚡ Challenges & Growth Opportunities

🔒 Technical Challenges

• Cloud Security: Stay current with emerging cloud security threats and best practices, and adapt security strategies accordingly.
• AI Protection: Develop and implement AI-focused threat detection and response strategies to protect AI workloads in the cloud.
• Regulatory Compliance: Ensure cloud and AI security measures comply with relevant standards and regulations, such as PCI-DSS, FISMA, GLBA, SOX, and GDPR.

🌱 Learning & Development Opportunities

• Cloud Security Training: Attend cloud security training and certification programs to enhance skills and knowledge in cloud security best practices and emerging technologies.
• AI Prompt Engineering: Explore AI prompt engineering techniques to enhance security and threat detection capabilities in AI workloads.
• Security Leadership Development: Participate in leadership development programs to build skills in team management, architecture decision-making, and strategic planning.

💡 Interview Preparation

💭 Technical Questions

• Cloud Security Fundamentals: Demonstrate a strong understanding of cloud security principles, best practices, and relevant security controls for AWS and Azure.
• Threat Management: Describe your experience in identifying, assessing, and mitigating security threats in cloud and AI environments.
• Risk Management: Explain your approach to risk management in cloud and AI security, including risk assessment, mitigation, and monitoring strategies.
• Security Architecture: Discuss your experience in designing and implementing secure architectures for cloud and AI workloads.

📝 Company & Culture Questions

• Security Culture: Describe how you have contributed to a strong security culture in previous roles, and how you would foster a collaborative security environment at U.S. Bank.
• Agile Methodologies: Explain your experience with Agile methodologies (Scrum, Kanban) in security project management and continuous improvement.
• Cross-Functional Collaboration: Describe your experience working with cross-functional teams, including development, business, and other technology teams, to enhance security measures.

💡 Portfolio Presentation Strategy

• Security Project Highlights: Showcase your most impactful security projects, including project charters, risk assessments, and security architectures.
• Threat Management Case Studies: Present case studies demonstrating your ability to identify, assess, and mitigate security threats in cloud and AI environments.
• Security Metrics & Reporting: Display examples of security metrics and reports you have developed and maintained to track security performance and compliance.

📌 Application Steps

To apply for this Senior Security Engineer - Cloud & AI Protection Technology position:

1. Submit your application through the application link.
2. Tailor your resume to highlight relevant security experience, skills, and achievements in cloud and AI protection technologies.
3. Prepare a portfolio showcasing your most impactful security projects, threat management case studies, and security metrics and reporting examples.
4. Research U.S. Bank's security culture, Agile methodologies, and cross-functional collaboration to demonstrate your fit for the role and organization.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.