Deutsche Bank
Cloud Engineer, CB AI Integration Services - Assistant Vice President
Deutsche Bank, Cary, North Carolina, United States, 27518
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. 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. 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 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. Deutsche Bank is an equal opportunity employer. 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.
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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. 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. 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 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. Deutsche Bank is an equal opportunity employer. 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.
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