SIXT
Engineering Manager Machine Learning(m/w/x)
Full-timeWith HomeofficeManagement
München
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SISIXT
Engineering Manager - Customer Service Tech(m/w/x)
München
Full-timeWith Home OfficeManagement
AI/ML
Nejo AI Summary
Technical direction of distributed service architectures on AWS for a global mobility provider. Proven software engineering leadership and AWS production systems management required. 30 days vacation, hybrid work, and flexible hours.
Requirements
- Proven experience in software engineering leadership
- Management of complex architectures and production systems on AWS
- Strong expertise in distributed system design
- Strong expertise in APIs
- Strong expertise in microservices
- Strong expertise in event-driven architectures
- Strong expertise in cloud-native delivery
- Proficiency in Java backend engineering
- Proficiency in Python backend engineering
- Familiarity with AI/ML in production
- Familiarity with LLM agents and evaluation pipelines
- Championing operational excellence through SLOs
- Championing operational excellence through observability
- Championing operational excellence through on-call culture
- Championing operational excellence through incident learning
- Natural collaboration across functions and international teams
- Alignment of engineers, architects, product owners, data scientists, and business stakeholders
- Business and product mindset
- Clear communication with technical audiences
- Clear communication with non-technical audiences
Tasks
- Lead and grow a high-performing engineering team
- Coach frontend, backend, and AI engineers
- Foster ownership, collaboration, and excellence
- Own technical direction of distributed service architectures on AWS
- Guide team toward scalable, reliable, and observable systems
- Drive AI-powered customer service into production
- Partner with Data Science to translate prototypes into reliable workflows
- Guarantee seamless end-to-end consistency across customer journey
- Integrate Salesforce Service Cloud, telephony, and AI agent capabilities
- Ensure smooth human escalation paths
- Align stakeholders across divisions
- Collaborate with teams in Bangalore, Munich, and Lisbon
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- distributed system design
- APIs
- microservices
- event-driven architectures
- cloud-native delivery
- Java
- Python
- AI/ML
- LLM agents
- evaluation pipelines
- SLOs
- observability
Benefits
More Vacation Days
- 30 days of vacation
Flexible Working
- Hybrid working model
- Flexible hours
Corporate Discounts
- Sixt rent discounts
- Sixt share discounts
- Sixt ride discounts
- Sixt+ discounts
- Partner deals
Company Vehicle
- Vehicle leasing offers
Additional Allowances
- Mobility allowance
Retirement Plans
- Retirement plan contribution
Other Benefits
- Capital-forming benefits
- Gaming area
Healthcare & Fitness
- Modern gym
Team Events
- Leisure activities
- Sixt choir
Free or Subsidized Food
- High-quality employee restaurant
Social Impact
- Volunteer day
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SIXT and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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Engineering Manager(m/w/x)
Full-timeWith HomeofficeManagementMünchen - SIXT
Director AI & Automation Fleet Operations(m/w/x)
Full-timeWith HomeofficeExperiencedMünchen - Peter Park System GmbH
Team Lead Tech / Engineering Manager(m/w/x)
Full-timeWith HomeofficeSeniorMünchen
SISIXT
Engineering Manager - Customer Service Tech(m/w/x)
München
Full-timeWith Home OfficeManagement
AI/ML
Nejo AI Summary
Technical direction of distributed service architectures on AWS for a global mobility provider. Proven software engineering leadership and AWS production systems management required. 30 days vacation, hybrid work, and flexible hours.
Requirements
- Proven experience in software engineering leadership
- Management of complex architectures and production systems on AWS
- Strong expertise in distributed system design
- Strong expertise in APIs
- Strong expertise in microservices
- Strong expertise in event-driven architectures
- Strong expertise in cloud-native delivery
- Proficiency in Java backend engineering
- Proficiency in Python backend engineering
- Familiarity with AI/ML in production
- Familiarity with LLM agents and evaluation pipelines
- Championing operational excellence through SLOs
- Championing operational excellence through observability
- Championing operational excellence through on-call culture
- Championing operational excellence through incident learning
- Natural collaboration across functions and international teams
- Alignment of engineers, architects, product owners, data scientists, and business stakeholders
- Business and product mindset
- Clear communication with technical audiences
- Clear communication with non-technical audiences
Tasks
- Lead and grow a high-performing engineering team
- Coach frontend, backend, and AI engineers
- Foster ownership, collaboration, and excellence
- Own technical direction of distributed service architectures on AWS
- Guide team toward scalable, reliable, and observable systems
- Drive AI-powered customer service into production
- Partner with Data Science to translate prototypes into reliable workflows
- Guarantee seamless end-to-end consistency across customer journey
- Integrate Salesforce Service Cloud, telephony, and AI agent capabilities
- Ensure smooth human escalation paths
- Align stakeholders across divisions
- Collaborate with teams in Bangalore, Munich, and Lisbon
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- distributed system design
- APIs
- microservices
- event-driven architectures
- cloud-native delivery
- Java
- Python
- AI/ML
- LLM agents
- evaluation pipelines
- SLOs
- observability
Benefits
More Vacation Days
- 30 days of vacation
Flexible Working
- Hybrid working model
- Flexible hours
Corporate Discounts
- Sixt rent discounts
- Sixt share discounts
- Sixt ride discounts
- Sixt+ discounts
- Partner deals
Company Vehicle
- Vehicle leasing offers
Additional Allowances
- Mobility allowance
Retirement Plans
- Retirement plan contribution
Other Benefits
- Capital-forming benefits
- Gaming area
Healthcare & Fitness
- Modern gym
Team Events
- Leisure activities
- Sixt choir
Free or Subsidized Food
- High-quality employee restaurant
Social Impact
- Volunteer day
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SIXT and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
SIXT
Industry
Transportation
Description
The company is a globally leading mobility service provider offering car rental, car sharing, taxi services, and car subscriptions.
Not a perfect match?
- SIXT
Engineering Manager Machine Learning(m/w/x)
Full-timeWith HomeofficeManagementMünchen - SIXT
Data Science Manager Finance(m/w/x)
Full-timeWith HomeofficeManagementMünchen - Enmacc
Engineering Manager(m/w/x)
Full-timeWith HomeofficeManagementMünchen - SIXT
Director AI & Automation Fleet Operations(m/w/x)
Full-timeWith HomeofficeExperiencedMünchen - Peter Park System GmbH
Team Lead Tech / Engineering Manager(m/w/x)
Full-timeWith HomeofficeSeniorMünchen