Lead Cloud Engineer @ Deutsche Bank
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Position Overview
The Lead Cloud Engineer role at Deutsche Bank focuses on designing, architecting, and delivering scalable, secure, production-grade infrastructure on GCP. The role requires deep expertise in GCP and AI/ML technologies in a fast-paced, regulated environment.
Key Responsibilities
- Design and architect scalable, secure GCP infrastructure using GKE, Cloud Functions, Vertex AI, etc.
- Develop infrastructure-as-code with Terraform and implement automated CI/CD pipelines.
- Collaborate with engineers, product managers, and stakeholders for API platforms and AI/ML solutions.
- Contribute to API and microservices development using Python or Java.
- Automate operational workflows and support incident response and root cause analysis.
- Develop reusable modules and tools to accelerate infrastructure delivery.
- Champion best practices for AI/ML infrastructure including training, deployment, monitoring, and governance.
Qualifications
Bachelor’s degree in Computer Science or related field. Several years of cloud engineering and DevOps experience with proven track record on GCP. Proficiency in Python, Java, or Go, with strong skills in automation, cloud networking, security, and compliance. Hands-on experience with AI/ML workflows and tools such as Vertex AI and MLflow.
What We Offer
Diverse benefits portfolio supporting emotional, physical, social, and financial well-being. Benefits include mental health support, physical fitness programs, networking opportunities, flexible working options, pension plans, and other financial services.
Additional Information
This position is available in both full time and part time arrangements. For recruitment-related questions, contact Kilian Weber at +49 (30) 34073087. Deutsche Bank promotes an inclusive and positive work environment.
Key skills/competency
- GCP
- Cloud Infrastructure
- DevOps
- Terraform
- CI/CD
- Python
- Java
- AI/ML
- Automation
- Security
How to Get Hired at Deutsche Bank
🎯 Tips for Getting Hired
- Customize your resume: Tailor to cloud and AI expertise.
- Highlight proven GCP experience: Emphasize successful project deployment.
- Showcase DevOps skills: Detail Terraform and CI/CD usage.
- Prepare for technical discussions: Review AI/ML workflows and infrastructure.