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Backend Engineer (Python, AI DevOps)(m/w/x)
Cloud-native microservices and REST API design for AI-driven insurance domain models. 5+ years backend engineering and MLOps experience required. International mobility and 30 days vacation.
Requirements
- 5+ years professional backend engineering experience
- MLOps or AI platform experience
- Expert-level Python skills
- Ideally FastAPI, Pydantic, or SQLAlchemy
- Strong engineering fundamentals
- Production experience with Docker and Kubernetes
- Strong CI/CD experience
- Familiarity with Azure cloud platforms
- Strong experience with PostgreSQL
- Familiarity with Kafka
- Strong troubleshooting skills and operational mindset
- Comfortable in agile delivery environments
- Clear communicator and collaborator
- Proactive learner of AI-assisted tools
- MLOps exposure and deployment patterns
- Experience building internal libraries or platforms
- Experience in regulated environments
Tasks
- Design and maintain backend services
- Build REST APIs with clean interfaces
- Develop robust domain models
- Implement maintainable data access patterns
- Deliver cloud-native microservices using Docker
- Deploy scalable services using Kubernetes
- Optimize microservices for resilience and cost
- Build CI/CD pipelines with automated tests
- Implement quality gates and secure delivery
- Standardize API exposure via gateway patterns
- Configure API throttling and usage policies
- Manage API authentication and authorization
- Implement API versioning and Azure Management
- Establish observability standards using Azure Monitor
- Create dashboards and alerting systems
- Implement distributed tracing and runbooks
- Diagnose complex issues across microservices
- Perform root-cause analysis and preventative improvements
- Manage secrets and least privilege access
- Apply container security best practices
- Implement disaster recovery patterns
- Maintain traceable changes for regulated environments
- Ensure reliable logging and audit-friendly practices
- Manage sensitive data with access controls
- Enforce data minimization and retention policies
- Collaborate with ML and Platform Engineers
- Partner with AI Architects and DevOps
- Deliver shared foundations and global standards
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- FastAPI
- Pydantic
- SQLAlchemy
- Docker
- Kubernetes
- GitHub Actions
- ArgoCD
- Azure
- AKS
- ACR
- Key Vault
- Azure Monitor
- Application Insights
- Azure API Management
- PostgreSQL
- Kafka
- GitHub Copilot
- Claude Code
Benefits
Other Benefits
- Personal and professional development
Learning & Development
- Targeted development programs
Workation & Sabbatical
- International mobility
Career Advancement
- Career progression
Mental Health Support
- Work Well programs
Flexible Working
- Flexible work-life balance
Not a perfect match?
- CelonisFull-timeWith HomeofficeManagementMünchen
- truckoo
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Backend Engineer (Python, AI DevOps)(m/w/x)
Cloud-native microservices and REST API design for AI-driven insurance domain models. 5+ years backend engineering and MLOps experience required. International mobility and 30 days vacation.
Requirements
- 5+ years professional backend engineering experience
- MLOps or AI platform experience
- Expert-level Python skills
- Ideally FastAPI, Pydantic, or SQLAlchemy
- Strong engineering fundamentals
- Production experience with Docker and Kubernetes
- Strong CI/CD experience
- Familiarity with Azure cloud platforms
- Strong experience with PostgreSQL
- Familiarity with Kafka
- Strong troubleshooting skills and operational mindset
- Comfortable in agile delivery environments
- Clear communicator and collaborator
- Proactive learner of AI-assisted tools
- MLOps exposure and deployment patterns
- Experience building internal libraries or platforms
- Experience in regulated environments
Tasks
- Design and maintain backend services
- Build REST APIs with clean interfaces
- Develop robust domain models
- Implement maintainable data access patterns
- Deliver cloud-native microservices using Docker
- Deploy scalable services using Kubernetes
- Optimize microservices for resilience and cost
- Build CI/CD pipelines with automated tests
- Implement quality gates and secure delivery
- Standardize API exposure via gateway patterns
- Configure API throttling and usage policies
- Manage API authentication and authorization
- Implement API versioning and Azure Management
- Establish observability standards using Azure Monitor
- Create dashboards and alerting systems
- Implement distributed tracing and runbooks
- Diagnose complex issues across microservices
- Perform root-cause analysis and preventative improvements
- Manage secrets and least privilege access
- Apply container security best practices
- Implement disaster recovery patterns
- Maintain traceable changes for regulated environments
- Ensure reliable logging and audit-friendly practices
- Manage sensitive data with access controls
- Enforce data minimization and retention policies
- Collaborate with ML and Platform Engineers
- Partner with AI Architects and DevOps
- Deliver shared foundations and global standards
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- FastAPI
- Pydantic
- SQLAlchemy
- Docker
- Kubernetes
- GitHub Actions
- ArgoCD
- Azure
- AKS
- ACR
- Key Vault
- Azure Monitor
- Application Insights
- Azure API Management
- PostgreSQL
- Kafka
- GitHub Copilot
- Claude Code
Benefits
Other Benefits
- Personal and professional development
Learning & Development
- Targeted development programs
Workation & Sabbatical
- International mobility
Career Advancement
- Career progression
Mental Health Support
- Work Well programs
Flexible Working
- Flexible work-life balance
About the Company
Allianz Partners
Industry
FinancialServices
Description
Das Unternehmen ist im Bereich Assistance tätig und bietet Unterstützung in Notsituationen für Reisende.
Not a perfect match?
- Celonis
Senior Software Engineer - Python/AI/ML Infrastructure(m/w/x)
Full-timeWith HomeofficeManagementMünchen - truckoo
Backend Software Engineer (Python/Node/Go)(m/w/x)
Full-timeWith HomeofficeSeniorOberschleißheim - Teleclinic GmbH
Senior Backend Engineer(m/w/x)
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Senior Java Backend Engineer(m/w/x)
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