Full Description and Link to Apply

Position Overview

 Job Title Cloud Engineer, CB AI Integration Services

Corporate Title Assistant 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

We are seeking a skilled and motivated Cloud Engineer to join our team as a key individual contributor. In this role, you will be responsible for designing, implementing, and maintaining scalable cloud infrastructure and services on Google Cloud Platform (GCP) to support enterprise data and AI/ML workloads. You’ll work independently across teams to deliver robust, secure, and efficient cloud solutions that enable innovation and operational excellence. As part of the Deutsche Bank Corporate Bank AI Integration Services team, you’ll help empower our Tribe with the tools and infrastructure needed to implement data-driven initiatives..

What We Offer You 

A diverse and inclusive environment that embraces change, innovation, and collaboration

A hybrid working model with up to 60% work from home, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days, a commitment to Corporate Social Responsibility

Employee Resource Groups support an inclusive workplace for everyone and promote community engagement

Access to a strong network of Communities of Practice connecting you to colleagues with shared interests and values

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 

Independently design and implement cloud-native infrastructure on GCP, including networking, compute, storage, and IAM configurations

Build and manage automated deployment pipelines using tools like Cloud Build, Terraform, and GitHub Actions to support infrastructure-as-code and continuous delivery

Support AI/ML workloads by provisioning and managing services such as Vertex AI, BigQuery ML, and Cloud Functions, enabling scalable model training, deployment, and monitoring

Collaborate with MLOps and data science teams to integrate ML lifecycle automation, including model versioning, CI/CD for ML, and performance monitoring

Implement and maintain security and compliance controls, including encryption, access management, and audit logging

Monitor and troubleshoot cloud infrastructure using GCP-native tools like Cloud Monitoring, Cloud Logging, and Error Reporting to ensure high availability and resiliency

Skills You’ll Need 

Solid experience in cloud engineering, DevOps, or infrastructure operations, with a strong focus on Google Cloud Platform

Proficiency in Python, or Java, with experience in scripting and automation

Hands-on experience with infrastructure-as-code tools such as Terraform or Deployment Manager

Familiarity with cloud networking, IAM, security best practices, and cost management on GCP

Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes or GKE and exposure to AI/ML tooling such as Vertex AI, MLflow, or Kubeflow, and understanding of MLOps principles including model deployment, monitoring, and governance

Skills That Will Help You Excel

Strong analytical and problem-solving skills

Excellent communication and collaboration skills

Bachelor's degree or equivalent in Computer Science, Engineering, or a related field