Senior AI DevOps and Cloud Infrastructure Engineer - Vice President

Job Description:

Job Title: Senior AI DevOps and Cloud Infrastructure Engineer

Corporate Title: Vice President

Location: Cary, NC

Who we are:

In short – an essential part of Deutsche Bank’s technology solution, developing applications for key business areas.

Our Technologists drive Cloud, Cyber and business technology strategy while transforming it within a robust, hands-on engineering culture. Learning is a key element of our people strategy, and we have a variety of options for you to develop professionally.   Our approach to the future of work champions flexibility and is rooted in the understanding that there have been dramatic shifts in the ways we work.

Having first established a presence in the Americas in the 19th century, Deutsche Bank opened its US technology center in Cary, North Carolina in 2009. Learn more about us here.

Overview

As a Senior AI DevOps 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.

What We Offer You

• 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

What You’ll Do

• 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 FinOps and resource utilization.

How You’ll Lead

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

Skills You’ll Need

• Deep GCP skills, including GKE, CloudRun, 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 FinOps & Resource Optimization.
• Knowledge of event-driven architectures.

Skills That Will Help You Excel

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

Expectations

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. 

Deutsche Bank provides reasonable accommodations to candidates and employees with a substantiated need based on disability and/or religion.

The salary range for this position in Cary is $125,000 to 185,000.  Actual salaries may be based on a number of factors including, but not limited to, a candidate’s skill set, experience, education, work location and other qualifications.  Posted salary ranges do not include incentive compensation or any other type of remuneration.