Deutsche Bank
Cloud Engineer, CB AI Integration Services
Deutsche Bank, Cary, North Carolina, United States, 27518
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. Location: Cary, NC In short – an essential part of Deutsche Bank’s technology solution, developing applications for key business areas. 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, generous vacation, personal and volunteer days, and a strong commitment to Corporate Social Responsibility Employee Resource Groups that foster an inclusive workplace 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, educational resources, 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 Stay current with emerging GCP technologies and best practices, and proactively recommend improvements to architecture and operational processes Document cloud architecture, operational procedures, and governance standards to support transparency and knowledge sharing 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) 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 Ability to work independently and take ownership of deliverables Excellent communication and collaboration abilities Bachelor’s degree or equivalent in Computer Science, Engineering, or a related field 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. 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. The California Consumer Privacy Act outlines how companies can use personal information. If you are interested in receiving a copy of Deutsche Bank’s California Privacy Notice please email HR.Direct@DB.com. We welcome applications from all people and promote a positive, fair and inclusive work environment. The Bank’s commitment to equality and inclusion is reflected in our hiring practices and policies.
#J-18808-Ljbffr
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. Location: Cary, NC In short – an essential part of Deutsche Bank’s technology solution, developing applications for key business areas. 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, generous vacation, personal and volunteer days, and a strong commitment to Corporate Social Responsibility Employee Resource Groups that foster an inclusive workplace 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, educational resources, 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 Stay current with emerging GCP technologies and best practices, and proactively recommend improvements to architecture and operational processes Document cloud architecture, operational procedures, and governance standards to support transparency and knowledge sharing 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) 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 Ability to work independently and take ownership of deliverables Excellent communication and collaboration abilities Bachelor’s degree or equivalent in Computer Science, Engineering, or a related field 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. 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. The California Consumer Privacy Act outlines how companies can use personal information. If you are interested in receiving a copy of Deutsche Bank’s California Privacy Notice please email HR.Direct@DB.com. We welcome applications from all people and promote a positive, fair and inclusive work environment. The Bank’s commitment to equality and inclusion is reflected in our hiring practices and policies.
#J-18808-Ljbffr