Cloud AI Engineer (m/f/d) at SIXT

📍 Job Overview

Job Title: Cloud AI Engineer (m/f/d)
Company: SIXT
Location: Munich, Bavaria, Germany
Job Type: Full-time
Category: DevOps Engineer
Date Posted: 2025-06-20
Experience Level: 2-5 years
Remote Status: Hybrid (up to 50% remote work, including up to 30 days per year in European countries (EU, CH & UK))

🚀 Role Summary

Design and build cloud-native platforms on AWS using Java and Spring Boot
Develop AI-powered services that enhance customer interactions using agentic AI principles
Create robust, event-driven systems and microservices architectures for scalability and resilience
Collaborate across teams to understand business processes and identify opportunities for AI-powered automation and customer experience enhancements
Stay on the cutting edge of AI, cloud, and Software Engineering trends

📝 Enhancement Note: This role requires a strong background in cloud engineering, Java development, and AI/ML tools to succeed in driving innovation at the intersection of cloud-native technologies and generative AI.

💻 Primary Responsibilities

Cloud Platform Development: Design and build cloud-native platforms on AWS using Java and Spring Boot, ensuring scalability, performance, and security.
AI Service Development: Develop AI-powered services that enhance customer interactions using agentic AI principles, integrating with existing systems and APIs.
System Architecture: Create robust, event-driven systems and microservices architectures, ensuring high availability, fault tolerance, and efficient resource utilization.
Cross-Functional Collaboration: Collaborate with various teams to understand business processes, identify opportunities for AI-powered automation, and enhance customer experiences.
Technical Documentation: Contribute to team knowledge sharing, code reviews, and maintaining up-to-date technical documentation.
Trend Awareness: Stay informed about the latest trends in AI, cloud, and Software Engineering, and bring innovative ideas into reality.

📝 Enhancement Note: This role requires a strong focus on customer-centric solutions, translating technical solutions into real value for end-users and businesses.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Artificial Intelligence, or a related field. Relevant experience may substitute for a degree.

Experience: Proven experience (2-5 years) in cloud engineering, Java development, and AI/ML tools.

Required Skills:

Strong Java development skills with experience in Spring Boot, Microservices design, event-driven architectures, and messaging systems like Kafka
Solid expertise in AI, LLMs, and agentic software development space
Familiarity with AI/ML tools and APIs, with a curiosity to learn every day
Ability to build scalable, distributed systems that handle high-volume data streams
Customer-centric mindset, translating technical solutions into real value for end-users and businesses

Preferred Skills:

Experience with AWS services and infrastructure as code (IaC) tools like Terraform or CloudFormation
Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes) tools
Knowledge of CI/CD pipelines and DevOps best practices
Experience with generative AI models and frameworks (e.g., Hugging Face, TensorFlow, PyTorch)

📝 Enhancement Note: While not explicitly stated, having experience with AWS services and infrastructure as code (IaC) tools would be beneficial for this role, as the company operates on AWS.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate your cloud engineering skills by showcasing projects that involve designing and building scalable, secure, and performant cloud-native applications on AWS.
Highlight your AI/ML skills by presenting projects that utilize AI to solve real-world problems or enhance user experiences.
Include examples of event-driven systems and microservices architectures, explaining your design decisions and trade-offs.
Showcase your customer-centric mindset by describing how your projects have positively impacted users or businesses.

Technical Documentation:

Document your code, including comments, version control, and deployment processes.
Maintain up-to-date technical documentation, including architecture diagrams, API references, and user guides.
Include any relevant certifications or training materials that demonstrate your expertise in cloud engineering, AI/ML, and Java development.

📝 Enhancement Note: As this role involves working with AI/ML tools and AWS services, it is essential to include examples of your work in these areas in your portfolio.

💵 Compensation & Benefits

Salary Range: €50,000 - €70,000 per year (based on regional market research and experience level)

Benefits:

Work-life balance: Enjoy 30 days of vacation and up to 50% remote work, including up to 30 days per year in European countries (EU, CH & UK), as well as flexible working hours.
Office perks: Stay active and healthy with the modern SIXT Gym, various recreational activities, including a gaming area and the SIXT choir. Plus, enjoy the premium employee restaurant, offering more than just the standard canteen.
Support for community engagement: Take a day each year to volunteer with the "Drying Little Tears" children's aid foundation, an initiative of Regine Sixt.
Great employee benefits: Benefit from discounts on SIXT rent, share, ride, and SIXT+ services, car leasing offers, and special deals with partners on travel, tech, clothing, and more.
Mobility allowance: Receive a mobility allowance of €20 per month.
Enhance your future: Support with your retirement planning and capital-forming benefits.

Working Hours: Full-time position with flexible working hours and up to 50% remote work.

📝 Enhancement Note: The salary range provided is an estimate based on regional market research and experience level. Actual salary may vary depending on the candidate's qualifications and the company's internal compensation structure.

🎯 Team & Company Context

🏢 Company Culture

Industry: SIXT is a globally leading mobility service provider with a revenue of €4.00 billion and around 9,000 employees worldwide. Their mobility platform ONE combines various products, giving customers access to their fleet of 350,000 vehicles, the services of 4,000 cooperation partners, and around 5 million drivers worldwide.

Company Size: SIXT is a large company with a global presence, operating in more than 110 countries at 2,000 rental stations. This size allows for diverse teams, ample resources, and opportunities for growth and collaboration.

Founded: SIXT was founded in 1912 and has since grown into a global mobility service provider, focusing on top-tier customer experience and outstanding customer service.

Team Structure:

The cloud AI engineering team is part of the broader technology department, working closely with various teams, including product, design, and other engineering disciplines.
The team is likely to consist of cloud engineers, AI/ML specialists, and DevOps engineers, with a focus on collaboration, knowledge sharing, and continuous learning.
The team's size and structure are not explicitly stated, but given the company's size, it is reasonable to assume a mid-to-large team size with clear roles and responsibilities.

Development Methodology:

SIXT uses Agile methodologies, with a focus on iterative development, regular feedback, and continuous improvement.
The company emphasizes collaboration, cross-functional teams, and a customer-centric approach to product development.
SIXT's development process involves code reviews, testing, and quality assurance practices, as well as deployment strategies, CI/CD pipelines, and server management.

Company Website: sixt.com

📝 Enhancement Note: SIXT's company culture emphasizes top-tier customer experience, outstanding customer service, and true entrepreneurship. This focus is reflected in the company's approach to product development and team collaboration.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the intermediate to senior level within the web technology career path. It requires a strong background in cloud engineering, Java development, and AI/ML tools, as well as experience in designing and building scalable, secure, and performant cloud-native applications.

Reporting Structure: The cloud AI engineer reports directly to the team lead or manager within the technology department. The role may involve managing junior engineers or mentoring team members, depending on the team's size and structure.

Technical Impact: The cloud AI engineer plays a crucial role in driving innovation at the intersection of cloud-native technologies and generative AI. They are responsible for designing and building AI-powered services that enhance customer interactions and create intelligent, scalable systems that power real-world applications.

Growth Opportunities:

Technical Growth: As a cloud AI engineer at SIXT, you will have the opportunity to work with cutting-edge technologies, stay informed about the latest trends in AI, cloud, and Software Engineering, and bring innovative ideas into reality. This will help you develop your skills and advance your career in the field of cloud engineering and AI/ML.
Leadership Growth: Depending on the team's size and structure, there may be opportunities for the cloud AI engineer to take on a leadership role, managing junior engineers or mentoring team members. This would involve developing your leadership skills, as well as your technical expertise.
Career Progression: With SIXT's global presence and diverse product offerings, there may be opportunities for career progression within the company, such as moving into a senior role, taking on a more specialized position, or even transitioning into a management or leadership role.

📝 Enhancement Note: SIXT's focus on innovation, collaboration, and continuous learning provides ample opportunities for cloud AI engineers to grow both technically and professionally within the company.

🌐 Work Environment

Office Type: SIXT's offices are modern, collaborative workspaces designed to foster creativity, innovation, and teamwork. The company encourages a flexible, agile work environment, with up to 50% remote work and flexible working hours.

Office Location(s): SIXT has offices worldwide, with the main headquarters located in Pullach, Germany. The cloud AI engineer role is based in Munich, Germany, with the option to work remotely up to 50% of the time, including up to 30 days per year in European countries (EU, CH & UK).

Workspace Context:

Collaborative Workspace: SIXT's offices are designed to encourage collaboration and teamwork, with open-plan workspaces, meeting rooms, and recreational areas.
Development Tools: The company provides its employees with access to the latest development tools, multiple monitors, and testing devices to ensure they have everything they need to succeed in their roles.
Cross-Functional Collaboration: SIXT encourages cross-functional collaboration between developers, designers, and stakeholders, ensuring that all teams are aligned and working towards the same goals.

Work Schedule: Full-time position with flexible working hours and up to 50% remote work, including up to 30 days per year in European countries (EU, CH & UK).

📝 Enhancement Note: SIXT's flexible, agile work environment, combined with its modern, collaborative offices, creates an ideal workspace for cloud AI engineers to thrive and succeed in their roles.

📄 Application & Technical Interview Process

Interview Process:

Technical Assessment: The interview process begins with a technical assessment, focusing on the candidate's cloud engineering, Java development, and AI/ML skills. This may involve a coding challenge, system design discussion, or architecture review.
Team Interaction: Candidates will have the opportunity to meet with members of the cloud AI engineering team to discuss the role, the team's dynamics, and the company's culture. This step is crucial for assessing the candidate's fit within the team and the company.
Final Evaluation: The final evaluation may involve a technical impact discussion, focusing on the candidate's ability to drive innovation and create intelligent, scalable systems that power real-world applications.

Portfolio Review Tips:

Cloud Engineering Projects: Highlight your cloud engineering projects that demonstrate your ability to design and build scalable, secure, and performant cloud-native applications on AWS.
AI/ML Projects: Showcase your AI/ML projects that utilize AI to solve real-world problems or enhance user experiences. Be prepared to discuss your approach to agentic AI principles and explain how your projects have positively impacted users or businesses.
Customer-Centric Mindset: Emphasize your customer-centric mindset by describing how your projects have translated technical solutions into real value for end-users and businesses.

Technical Challenge Preparation:

Cloud Engineering Challenges: Brush up on your cloud engineering skills, focusing on AWS services, infrastructure as code (IaC) tools, and event-driven architectures. Be prepared to discuss your approach to designing and building scalable, secure, and performant cloud-native applications.
AI/ML Challenges: Review your AI/ML skills, focusing on AI/ML tools, APIs, and generative AI models and frameworks. Be prepared to discuss your approach to solving real-world problems using AI and enhancing user experiences with agentic AI principles.
Customer-Centric Challenges: Prepare for challenges that focus on your ability to translate technical solutions into real value for end-users and businesses. Be ready to discuss your approach to understanding business processes and identifying opportunities for AI-powered automation and customer experience enhancements.

ATS Keywords: [Provided in the ATS Keywords section below]

📝 Enhancement Note: SIXT's interview process focuses on assessing the candidate's technical skills, team fit, and ability to drive innovation in the field of cloud engineering and AI/ML. Candidates should be prepared to discuss their approach to designing and building intelligent, scalable systems that power real-world applications and enhance customer experiences.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: Not applicable, as this role focuses on cloud engineering and AI/ML.

Backend & Server Technologies:

AWS Services: Proficiency in AWS services, including EC2, RDS, DynamoDB, Lambda, and API Gateway, is essential for this role.
Java & Spring Boot: Strong Java development skills with experience in Spring Boot and Microservices design are required.
AI/ML Tools: Familiarity with AI/ML tools and APIs, as well as experience with generative AI models and frameworks, is crucial for this role.

Development & DevOps Tools:

Infrastructure as Code (IaC) Tools: Experience with IaC tools like Terraform or CloudFormation is beneficial for this role.
Containerization & Orchestration: Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes) tools is helpful for working in a cloud-native environment.
CI/CD Pipelines: Experience with CI/CD pipelines and DevOps best practices is valuable for streamlining the development process and ensuring consistent, high-quality deployments.

📝 Enhancement Note: SIXT's technology stack is primarily based on AWS services, with a focus on cloud-native technologies and AI/ML tools. Candidates should have a strong background in AWS, Java development, and AI/ML to succeed in this role.

👥 Team Culture & Values

Web Development Values:

Customer-Centric: SIXT places a strong emphasis on top-tier customer experience and outstanding customer service. The company values a customer-centric mindset, focusing on translating technical solutions into real value for end-users and businesses.
Innovation: SIXT encourages innovation and continuous learning, with a focus on staying informed about the latest trends in AI, cloud, and Software Engineering, and bringing innovative ideas into reality.
Collaboration: SIXT fosters a collaborative work environment, with a focus on cross-functional teamwork, knowledge sharing, and continuous learning. The company values a culture of open communication, transparency, and mutual respect.
Quality: SIXT is committed to delivering high-quality products and services, with a focus on performance, security, and scalability. The company values a culture of continuous improvement and attention to detail.

Collaboration Style:

Cross-Functional Integration: SIXT encourages cross-functional integration between developers, designers, and stakeholders, ensuring that all teams are aligned and working towards the same goals.
Code Review Culture: The company fosters a code review culture, with a focus on maintaining high coding standards, promoting knowledge sharing, and ensuring code quality and consistency.
Knowledge Sharing: SIXT values a culture of knowledge sharing, with a focus on mentoring, training, and continuous learning. The company encourages employees to share their expertise and learn from one another to drive innovation and growth.

📝 Enhancement Note: SIXT's team culture emphasizes collaboration, innovation, and a customer-centric mindset, with a focus on driving top-tier customer experiences and outstanding customer service. The company values a culture of open communication, transparency, and mutual respect, fostering a supportive and inclusive work environment for cloud AI engineers to thrive and succeed in their roles.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Cloud Engineering Challenges: Design and build scalable, secure, and performant cloud-native applications on AWS, utilizing event-driven architectures and microservices architectures for scalability and resilience.
AI/ML Challenges: Develop AI-powered services that enhance customer interactions using agentic AI principles, integrating with existing systems and APIs. Stay informed about the latest trends in AI, cloud, and Software Engineering, and bring innovative ideas into reality.
Customer-Centric Challenges: Translate technical solutions into real value for end-users and businesses, understanding business processes, and identifying opportunities for AI-powered automation and customer experience enhancements.

Learning & Development Opportunities:

Technical Skill Development: As a cloud AI engineer at SIXT, you will have the opportunity to work with cutting-edge technologies, stay informed about the latest trends in AI, cloud, and Software Engineering, and develop your skills in cloud engineering, Java development, and AI/ML.
Conference Attendance & Certification: SIXT encourages its employees to attend industry conferences, obtain relevant certifications, and engage with the broader tech community to stay informed about the latest trends and best practices in cloud engineering and AI/ML.
Technical Mentorship & Leadership Development: Depending on the team's size and structure, there may be opportunities for the cloud AI engineer to take on a leadership role, managing junior engineers or mentoring team members. This would involve developing your leadership skills, as well as your technical expertise.

📝 Enhancement Note: SIXT's focus on innovation, collaboration, and continuous learning provides ample opportunities for cloud AI engineers to develop their technical skills, stay informed about the latest trends in AI, cloud, and Software Engineering, and advance their careers in the field of cloud engineering and AI/ML.

💡 Interview Preparation

Technical Questions:

Cloud Engineering Questions: Be prepared to discuss your approach to designing and building scalable, secure, and performant cloud-native applications on AWS. Demonstrate your proficiency in AWS services, infrastructure as code (IaC) tools, and event-driven architectures.
AI/ML Questions: Prepare to discuss your approach to developing AI-powered services that enhance customer interactions using agentic AI principles. Showcase your familiarity with AI/ML tools, APIs, and generative AI models and frameworks.
Customer-Centric Questions: Be ready to discuss your approach to translating technical solutions into real value for end-users and businesses. Explain how you have identified opportunities for AI-powered automation and customer experience enhancements in previous projects.

Company & Culture Questions:

Company Culture: Research SIXT's company culture, focusing on its emphasis on top-tier customer experience, outstanding customer service, innovation, collaboration, and quality. Prepare questions that demonstrate your understanding of the company's values and how you can contribute to its success.
Team Dynamics: Familiarize yourself with the cloud AI engineering team's dynamics, focusing on its size, structure, and collaborative approach. Prepare questions that demonstrate your interest in the team's work and how you can contribute to its growth and success.
Product & Technology: Research SIXT's mobility platform ONE, focusing on its various products, services, and technology stack. Prepare questions that demonstrate your understanding of the company's technology stack and how you can contribute to its development and maintenance.

Portfolio Presentation Strategy:

Cloud Engineering Projects: Highlight your cloud engineering projects that demonstrate your ability to design and build scalable, secure, and performant cloud-native applications on AWS. Include examples of event-driven systems and microservices architectures, explaining your design decisions and trade-offs.
AI/ML Projects: Showcase your AI/ML projects that utilize AI to solve real-world problems or enhance user experiences. Be prepared to discuss your approach to agentic AI principles and explain how your projects have positively impacted users or businesses.
Customer-Centric Projects: Emphasize your customer-centric mindset by describing how your projects have translated technical solutions into real value for end-users and businesses. Explain how you have identified opportunities for AI-powered automation and customer experience enhancements in previous projects.

📝 Enhancement Note: SIXT's interview process focuses on assessing the candidate's technical skills, team fit, and ability to drive innovation in the field of cloud engineering and AI/ML. Candidates should be prepared to discuss their approach to designing and building intelligent, scalable systems that power real-world applications and enhance customer experiences.

📌 Application Steps

To apply for this cloud AI engineer position at SIXT:

Tailor Your Resume: Highlight your cloud engineering, Java development, and AI/ML skills, focusing on your experience with AWS services, infrastructure as code (IaC) tools, and event-driven architectures. Include any relevant projects or achievements that demonstrate your ability to design and build scalable, secure, and performant cloud-native applications on AWS.
Prepare Your Portfolio: Showcase your cloud engineering, AI/ML, and customer-centric projects, focusing on your ability to translate technical solutions into real value for end-users and businesses. Include examples of your work with AWS services, infrastructure as code (IaC) tools, and event-driven architectures.
Research SIXT: Familiarize yourself with SIXT's company culture, focusing on its emphasis on top-tier customer experience, outstanding customer service, innovation, collaboration, and quality. Prepare questions that demonstrate your understanding of the company's values and how you can contribute to its success.
Prepare for the Interview: Brush up on your cloud engineering, AI/ML, and customer-centric skills, focusing on your approach to designing and building intelligent, scalable systems that power real-world applications and enhance customer experiences. Be ready to discuss your portfolio, technical challenges, and company-specific questions.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web technology industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

📌 ATS Keywords

Programming Languages:

Java
Python
AWS SDKs (Java, Python, etc.)

Web Frameworks:

Spring Boot
Microservices Architecture

Server Technologies:

AWS Services (EC2, RDS, DynamoDB, Lambda, API Gateway, etc.)
Cloud Engineering
Infrastructure as Code (IaC) Tools (Terraform, CloudFormation, etc.)
Containerization (Docker, etc.)
Orchestration (Kubernetes, etc.)

Databases:

AWS RDS (PostgreSQL, MySQL, etc.)
DynamoDB
NoSQL databases (MongoDB, Cassandra, etc.)

Tools:

AI/ML Tools (TensorFlow, PyTorch, Hugging Face, etc.)
CI/CD Pipelines (Jenkins, GitLab CI/CD, etc.)
Version Control (Git, SVN, etc.)
Project Management (Jira, Asana, etc.)

Methodologies:

Agile Methodologies
Scrum
Kanban
DevOps
Infrastructure as Code (IaC)

Soft Skills:

Problem-Solving
Communication
Collaboration
Teamwork
Leadership
Mentoring
Customer-Centric Mindset

Industry Terms:

Cloud-Native Architecture
Microservices Architecture
Event-Driven Architecture
Serverless Architecture
AI/ML Integration
Agentic AI
Generative AI
Natural Language Processing (NLP)
Computer Vision
Machine Learning (ML)
Deep Learning (DL)
Reinforcement Learning (RL)
Cloud Engineering
Infrastructure as Code (IaC)
Containerization
Orchestration
CI/CD Pipelines
DevOps
Agile Methodologies
Scrum
Kanban
Customer Experience (CX)
User Experience (UX)
User Interface (UI)
User-Centered Design (UCD)
Accessibility
Performance Optimization
Scalability
Security
Resilience
High Availability
Disaster Recovery
Business Continuity
IT Service Management (ITSM)
ITIL
COBIT
ISO/IEC 27001
ISO/IEC 27002
NIST Cybersecurity Framework (CSF)
Cloud Security Alliance (CSA) Security Guidance
Center for Internet Security (CIS) Controls

These ATS keywords are organized by category, providing a comprehensive list of web development and server administration-relevant keywords for resume optimization and technical interview preparation.

Cloud AI Engineer (m/f/d)