Senior AI DevOps and Cloud Infrastructure Engineer - Vice President

Overview

As a Senior AI Dev Ops and Cloud Infrastructure Engineer, you will be critical in building and maintaining the scalable, reliable, and secure cloud infrastructure for our AI initiatives. Your primary focus will be on GCP deployment architecture, implementing infrastructure-as-code principles, and establishing robust CI/CD pipelines and release cycles. You will ensure the highest standards of reliability, scalability, and security for our AI systems.

A key responsibility will be translating compliance requirements into automated deployment rules, proactively safeguarding our solutions against prompt injection, and ensuring zero-downtime launches for applications scaling to thousands of concurrent users. Your deep GCP skills, combined with expertise in Terraform and CI/CD automation, will be essential in optimizing compute resources and leveraging event-driven architectures.

• A diverse and inclusive environment that embraces change, innovation, and collaboration
• A hybrid working model, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days
• Employee Resource Groups support an inclusive workplace for everyone and promote community engagement
• Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits
• Educational resources, matching gift and volunteer programs

• Design and implement GCP deployment architectures using infrastructure-as-code principles.
• Establish and optimize CI/CD pipelines and release cycles for AI applications.
• Ensure high reliability, scalability, and security of AI infrastructure.
• Translate compliance requirements into automated deployment rules, generating security and model risk evidence.
• Proactively identify and mitigate vulnerabilities, including red-teaming and securing LLM solutions against prompt injection.
• Lead zero-downtime launches and ensure the infrastructure scales seamlessly to support thousands of concurrent users.
• Optimize GCP compute Fin Ops and resource utilization.

• Implement and manage event-driven architectures for AI workflows.

• Deep GCP skills, including GKE, Cloud Run, and IAM.
• Expertise in Terraform and CI/CD automation.
• Proficiency in Python and React JS (full stack capability is a plus).
• Experience with Google ADK/Vertex AI.
• Strong understanding of GCP Compute Fin Ops & Resource Optimization.
• Knowledge of event-driven architectures.

• Proven ability to engineer deployment pipelines that automate compliance and security checks.
• Experience in securing LLM solutions and ensuring zero-downtime scaling.

It is the Bank s expectation that employees hired into this role will work in the Cary office in accordance with the Bank s hybrid working model.

At Deutsche Bank, we recognize that our benefit programs have a profound impact on our colleagues. That s why we are focused on providing benefits and perks that enable our colleagues to live authentically and be their whole selves, at every stage of life. We provide access to physical, emotional, and financial wellness benefits that allow our colleagues to stay financially secure and strike balance between work and home.

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We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law.