Lead Cloud Engineer, Deutsche Bank

CB Data / AI Integration Services

Salary not provided

GCP

Python

Java

Terraform

Kubeflow

Expert level

Berlin

Office located in Otto-Suhr-Allee, Berlin

Investment bank and financial services company

Posted today

Investment bank and financial services company

1001+ employees

B2CB2BInvestingTradingFinancial Services

Posted today

Salary not provided

GCP

Python

Java

Terraform

Kubeflow

Expert level

Berlin

Office located in Otto-Suhr-Allee, Berlin

1001+ employees

B2CB2BInvestingTradingFinancial Services

Company mission

To be the leading global provider of financial solutions for demanding clients, creating exceptional value for its shareholders and people.

Job

Company

Role

Who you are

This role is ideal for experienced engineers who combine strategic product thinking with technical execution, and who thrive in fast-paced, regulated environments
Bachelor’s degree in Computer Science, Engineering, or a related field
9+ years of experience in cloud engineering, product development, and DevOps roles
Proven track record of designing and operating production systems on cloud platforms (GCP preferred)
Strong proficiency in Python, Java, or Go, with a focus on automation and scripting
Deep understanding of cloud networking, IAM, security, and compliance in regulated environments
Hands-on experience with AI/ML workflows and tools, including Vertex AI, MLflow, or similar services

What the job involves

We are seeking a senior-level Cloud Engineer with deep hands-on expertise in Google Cloud Platform (GCP) and a strong background in AI/ML technologies to lead the technical design, architecture, and delivery of scalable, secure, and production-grade infrastructure
You will play a pivotal role in shaping cloud-native ecosystem, driving DevOps excellence, and collaborating across disciplines to deliver robust, automated, and compliant solutions that support the full lifecycle of AI/ML products
Lead the design and architecture of scalable, secure infrastructure on GCP using services like GKE, Cloud Functions, Vertex AI, and more
Drive infrastructure-as-code development with Terraform and implement automated CI/CD pipelines using GitHub Actions and workflows
Collaborate with software engineers, product managers, and stakeholders to ensure technical alignment and consistency across API platforms and AI/ML solutions
Contribute hands-on to the development of APIs and microservices using Python or Java
Apply design patterns and architecture principles to build reusable, resilient, and scalable systems
Automate operational workflows, enhance observability, and support incident response and root cause analysis
Develop and maintain reusable modules, templates, and tools to accelerate infrastructure and platform delivery
Champion best practices for AI/ML infrastructure, including model training, deployment, monitoring, and governance using tools such as Vertex AI, Kubeflow, and MLflow

Our take

Despite its roots in the nineteenth century, Deutsche Bank has seen strategic transformation at countless stages to remain competitive. For example, it recently launched Vert, a new digital payments company for SMEs, in collaboration with Fiserv. As a result, the company successfully filled the gap in the market for a user-friendly, all in one solution which would enable merchants to accept payments and manage money.

The company continues to benefit from its scale and reputation. Despite ongoing criticisms, its strong European ties and a global network means Deutsche Bank is well placed to help clients navigate through geopolitical and macroeconomic shifts, something that can’t be said so confidently of its competitors. Today, it operates in circa 60 countries.

Moving forwards, the company is focused on aligning more closely to environmental, social and governance (ESG) criteria to facilitate over €500B in sustainable finance and investments between 2020 and 2025.