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Deutsche Bank

Cloud Engineer, CB AI Integration Services

Hybrid

Cary, United states

$ 142,250 /year

Full Time

04-12-2025

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Skills

Communication Python Java Encryption GitHub CI/CD DevOps Docker Kubernetes Monitoring Scripting and Automation Problem-solving Networking Training Google Cloud Platform Cost Management GCP Data Science CI/CD Pipelines Terraform GitHub Actions

Job Specifications

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

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 $100,000 to $142,250. 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.

Deutsche Bank Benefits

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 financi

About the Company

Deutsche Bank is the leading German bank with strong European roots and a global network. The bank focuses on its strengths in a Corporate Bank newly created in 2019, a leading Private Bank, a focused investment bank and in asset management. We provide financial services to companies, governments, institutional investors, small and medium-sized businesses and private individuals. Deutsche Bank was founded in 1870 to accompany German businesses into the world, and has worked across borders ever since. Useful links: Jobs ht... Know more