This role offers the opportunity to join a dynamic, agile, and collaborative engineering team transforming Deutsche Bank through AI, ML, automation, and cloud technologies
Job Summary
This role offers the opportunity to join a dynamic, agile, and collaborative engineering team transforming Deutsche Bank through AI, ML, automation, and cloud technologies.
The candidate will be responsible for designing secure and scalable GCP landing zones, building CI/CD pipelines, developing Python automation, and managing containerized AI workloads.
Deutsche Bank provides flexible benefits including best-in-class leave policies, sponsorship for industry certifications, comprehensive insurance, and a culture of continuous learning.
Matching Summary
This role offers the opportunity to join a dynamic, agile, and collaborative engineering team transforming Deutsche Bank through AI, ML, automation, and cloud technologies.
Skills & Requirements
Must-have
Python automation and ETL workflows
GCP landing zone design and management
CI/CD pipelines with GitHub Actions
Container orchestration with Docker and Kubernetes
Infrastructure as code using Terraform
Agentic AI workflow development
Secure and scalable cloud environments
Nice-to-have
Strong stakeholder management skills
Ethical AI adoption commitment
Agile team collaboration
Technical documentation and runbook creation
Prompt engineering and FastAPI microservices
Experience with MCP servers and clients
Monitoring for SLO, SLI, and SLA targets
Key Requirements
At least 10 years of relevant experience
Strong verbal and written English communication
Experience with GDPR and EU AI Act compliance
Expertise in DevOps and AI engineering projects
Experience with Terraform, GCP IAM, VPCs, and security
Proven skills in Kubernetes and OpenShift operations