📍 Job Overview

Job Title: Cloud Engineer (m/f/d)
Company: Machine Learning Reply Austria
Location: Vienna, Wien, Austria
Job Type: Full-Time
Category: DevOps Engineer
Date Posted: 2025-06-30
Experience Level: Mid-Senior level
Remote Status: On-site/Hybrid (2 days per week)

🚀 Role Summary

Key Responsibilities: Design, implement, and manage CI/CD pipelines, use IaC tools for infrastructure management, set up monitoring and logging systems, facilitate collaboration between teams, and ensure security best practices.
Key Skills: DevOps, CI/CD Pipelines, Infrastructure as Code, Monitoring and Logging, Security Best Practices, Python, Go, Bash/Shell, Docker, Kubernetes, Terraform, AWS, Azure, Agile Development, Git.

💻 Primary Responsibilities

🔧 Infrastructure Management

Design and Implement CI/CD Pipelines: Streamline the software development lifecycle by designing and implementing CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or CircleCI.
- 📝 Enhancement Note: Familiarize yourself with the specific CI/CD tools used by the company and their clients.
Manage Infrastructure as Code (IaC): Use IaC tools such as Terraform, AWS CloudFormation, or Azure Resource Manager (ARM) to provision, configure, and manage cloud and on-premise infrastructure efficiently.
- 📝 Enhancement Note: Gain hands-on experience with the specific IaC tools mentioned in the job description and understand their differences.

🔒 System Reliability and Security

Set Up and Maintain Monitoring and Logging Systems: Ensure system reliability, performance, and quick issue resolution by setting up and maintaining monitoring and logging systems like Prometheus/Grafana, Splunk, or Datadog.
- 📝 Enhancement Note: Familiarize yourself with the specific monitoring and logging tools used by the company and their clients.
Implement Security Best Practices: Ensure compliance with industry standards throughout the development and deployment process by implementing security best practices.
- 📝 Enhancement Note: Brush up on your knowledge of security best practices, such as least privilege access, secure coding practices, and regular vulnerability assessments.

🤝 Collaboration and Process Alignment

Facilitate Collaboration: Work closely with development, operations, and other teams to align processes and ensure smooth project delivery.
- 📝 Enhancement Note: Develop strong communication and collaboration skills to work effectively with various teams and stakeholders.

🎓 Skills & Qualifications

🎓 Education and Experience

Education: Completed studies in computer science, mathematics, physics, or a comparable field.
Experience: Extensive experience in containerization, orchestration, configuration management, and cloud providers.

🛠 Required Skills

Programming Languages: Fluent in at least one of the following programming languages: Python, Go, Bash/Shell, Ruby.
Containerization and Orchestration: Extensive experience with Docker, Kubernetes, Helm, OpenShift.
Configuration Management Tools: Hands-on experience with Ansible, Puppet, Chef, or similar tools.
Version Control and CI/CD: Extensive experience with Git and CI/CD pipelines.
Infrastructure as Code (IaC): Experience with Terraform, AWS CloudFormation, Azure Resource Manager (ARM).
Cloud Providers: Experience with major cloud providers such as AWS or Azure.
Monitoring and Logging: Experience with Prometheus/Grafana, Splunk, Datadog, or similar tools.
Agile Development: Experience with agile development concepts like Scrum.

🌟 Preferred Skills

Additional Programming Languages: Familiarity with additional programming languages or scripting languages.
Certifications: Relevant certifications from cloud providers or DevOps tools.
Industry-specific Knowledge: Experience working in specific industries, such as banking, insurance, or automotive.

📊 Web Portfolio & Project Requirements

📋 Portfolio Essentials

CI/CD Pipeline Projects: Include projects demonstrating your experience in designing, implementing, and managing CI/CD pipelines.
IaC Projects: Showcase your ability to manage infrastructure as code by including projects that use tools like Terraform, AWS CloudFormation, or Azure Resource Manager (ARM).
Monitoring and Logging Projects: Highlight your experience in setting up and maintaining monitoring and logging systems by including relevant projects.
Security Projects: Demonstrate your understanding of security best practices by including projects that focus on secure coding, vulnerability assessment, or incident response.

📄 Technical Documentation

Code Quality: Ensure your code is well-documented, follows best practices, and adheres to coding standards.
Version Control: Demonstrate your ability to use Git effectively, including branching, merging, and pull requests.
Deployment Processes: Document your deployment processes, including automated deployment, rollback strategies, and canary deployments.
Testing Methodologies: Showcase your experience with testing methodologies, such as unit testing, integration testing, and end-to-end testing.

💵 Compensation & Benefits

💰 Salary Range

Consultant: €3,215 (gross monthly salary) or more, depending on previous experience.
Senior Consultant: €4,286 (gross monthly salary) or more, depending on previous experience.

📝 Enhancement Note: The provided salary range is based on the collective agreement for employees in data processing and information technology. Research local salary standards and cost of living in Vienna, Austria, to ensure the offered salary is competitive.

🎁 Benefits

Conference Funding: The company supports employees' attendance at relevant conferences and events.
Team Building and Group Events: Machine Learning Reply offers various team-building activities and group events to foster a strong company culture.
Recognition for Innovation: The company encourages personal development and recognizes innovative ideas and contributions.
Training and Certification: Machine Learning Reply encourages employees to pursue training and certification opportunities to enhance their skills and knowledge.
Home-office Contracts: The company offers flexible work arrangements, including home-office contracts.
State-of-the-art Work Equipment: Employees are provided with modern and up-to-date work equipment.
Public Transport Ticket: Machine Learning Reply covers the cost of a public transport ticket within Vienna.
Gym-membership Subsidy: The company offers a subsidy for a gym membership of the employee's choice.
Flexible Work Environment: The company offers a flexible work environment, allowing employees to balance their work and personal lives.

🎯 Team & Company Context

🏢 Company Culture

🌐 Industry and Company Size

Industry: Machine Learning Reply Austria operates in the technology consulting industry, focusing on solving problems with Web Development, Cloud technologies, Data Platforms, and organizational frameworks.
Company Size: Machine Learning Reply is part of the Reply group, which consists of over 15000 employees across 8 countries. The company is a fast-growing consultancy with a laid-back but motivated work environment.

📅 Company History

Founded: Machine Learning Reply was founded as a subsidiary of Reply, an Italian multinational corporation specializing in consulting, system integration, and digital services.
Team Structure: The company is organized into autonomous groups, fostering a flat and open environment. The team consists of consultants with a strong technical background, working on leading-edge technology projects with clients.

🔧 Development Methodology

Agile/Scrum Methodologies: Machine Learning Reply uses Agile/Scrum methodologies for project management, with an emphasis on collaboration, flexibility, and continuous improvement.
Code Review and Quality Assurance: The company emphasizes code review and quality assurance practices to ensure the delivery of high-quality products.
Deployment Strategies: Machine Learning Reply uses CI/CD pipelines and automated deployment strategies to streamline the software development lifecycle and ensure efficient delivery.

📈 Career & Growth Analysis

🌱 Web Technology Career Level

Mid-Senior Level: The Cloud Engineer role is at the mid-senior level, focusing on designing, implementing, and managing CI/CD pipelines, infrastructure as code, and monitoring and logging systems. The role requires extensive experience in containerization, configuration management, and cloud providers.

👥 Reporting Structure

Team Dynamics: The Cloud Engineer will work closely with development, operations, and other teams to align processes and ensure smooth project delivery. They will report directly to the project manager or team lead.

💡 Technical Impact

Influence on Web Products: The Cloud Engineer will have a significant impact on web products by ensuring system reliability, performance, and quick issue resolution. They will also contribute to the security and compliance of web products by implementing security best practices.

🌱 Growth Opportunities

Technical Skill Development: Machine Learning Reply encourages employees to pursue training and certification opportunities to enhance their skills and knowledge. This includes emerging technologies, such as Kubernetes, Helm, and OpenShift.
Technical Leadership: As the company grows, there may be opportunities for the Cloud Engineer to take on more technical leadership roles, such as leading projects or mentoring junior team members.
Career Progression: With experience and demonstrated expertise, the Cloud Engineer may progress to more senior roles within the company, such as Senior Consultant or Technical Lead.

🌐 Work Environment

🏢 Office Type

Downtown Vienna Office: Machine Learning Reply's office is located in downtown Vienna, providing easy access to public transportation and various amenities.
Modern Workspace: The office space is modern and well-equipped, with state-of-the-art work equipment and an excellent work experience.

📍 Office Location(s)

Vienna, Austria: Machine Learning Reply's main office is located in Vienna, with easy access to the Stammstrecke (main line) for public transportation.

🤝 Workspace Context

Collaborative Work Environment: The company fosters a collaborative work environment, with a focus on team building and knowledge sharing.
Development Tools and Infrastructure: Machine Learning Reply provides employees with access to the latest development tools, multiple monitors, and testing devices to ensure efficient and effective work.
Cross-functional Collaboration: The company encourages cross-functional collaboration between developers, designers, and stakeholders to ensure the delivery of high-quality products.

🕒 Work Schedule

Flexible Work Arrangement: Machine Learning Reply offers a flexible work environment, allowing employees to balance their work and personal lives. The company offers home-office contracts and a flexible work schedule.
Deployment Windows and Maintenance: The Cloud Engineer may be required to work during deployment windows and maintenance periods to ensure system reliability and performance.

📄 Application & Technical Interview Process

📝 Interview Process

Technical Preparation: Brush up on your knowledge of DevOps concepts, CI/CD pipelines, Infrastructure as Code, monitoring and logging systems, and security best practices. Familiarize yourself with the specific tools and technologies mentioned in the job description.
Web Architecture Expectations: Be prepared to discuss your experience with web architecture, including microservices, APIs, and cloud-native applications.
System Design Discussion: Demonstrate your ability to design and implement scalable and secure systems by discussing your experience with system design patterns, data modeling, and database management.
Team Interaction and Cultural Fit Assessment: Showcase your communication and collaboration skills by engaging in team-building activities and discussing your fit with the company culture.
Final Evaluation Criteria: Be prepared to discuss your technical impact on web products, user experience, and project metrics.

📋 Portfolio Review Tips

Live Website Demonstration: Prepare a live demonstration of your portfolio projects, highlighting your experience with CI/CD pipelines, Infrastructure as Code, monitoring and logging systems, and security best practices.
Case Study Structure: Organize your portfolio projects into case studies, focusing on the problem statement, proposed solution, implementation details, and results achieved.
Code Quality Demonstration: Ensure your code is well-documented, follows best practices, and adheres to coding standards. Be prepared to explain your code and design decisions.
Company-specific Web Technology Considerations: Research the specific web technologies and tools used by Machine Learning Reply and their clients. Tailor your portfolio to highlight your experience with these technologies.

💡 Technical Challenge Preparation

Typical Web Development Exercise Format: Familiarize yourself with the typical web development exercise format used by Machine Learning Reply, which may include designing and implementing a CI/CD pipeline, managing infrastructure as code, or setting up a monitoring and logging system.
Time Management and Solution Architecture: Practice time management skills and develop a clear understanding of solution architecture to ensure efficient problem-solving during the technical challenge.
Communication and Technical Explanation Articulation: Hone your communication skills and ability to articulate technical concepts clearly and effectively to both technical and non-technical stakeholders.

🛠 Technology Stack & Web Infrastructure

💻 Frontend Technologies

Responsive Design: Familiarize yourself with responsive design principles and best practices to ensure your web applications work well on various devices and screen sizes.
Performance Optimization: Brush up on your knowledge of performance optimization techniques, such as lazy loading, code splitting, and image optimization.
Accessibility Standards: Ensure your web applications adhere to accessibility standards, such as WCAG 2.1, to make them usable by as many people as possible.
User Interface Libraries: Familiarize yourself with user interface libraries and component development frameworks, such as React, Angular, or Vue.js.

💻 Backend & Server Technologies

Server-side Development: Brush up on your knowledge of server-side development and API creation capabilities using languages such as Python, Go, or Ruby.
Database Integration: Familiarize yourself with database integration and data management techniques, such as SQL, NoSQL, or graph databases.
Infrastructure Tools: Gain experience with deployment automation and server configuration tools, such as Terraform, AWS CloudFormation, or Azure Resource Manager (ARM).

🛠 Development & DevOps Tools

Version Control: Familiarize yourself with version control tools, such as Git, and best practices for branching, merging, and pull requests.
CI/CD Pipelines: Gain experience with CI/CD pipelines and tools, such as Jenkins, GitLab CI/CD, or CircleCI.
Monitoring Tools: Familiarize yourself with monitoring tools, such as Prometheus/Grafana, Splunk, or Datadog, and their best practices for system reliability and performance.

📝 Enhancement Note: Machine Learning Reply uses various tools and technologies, depending on the specific project and client requirements. Familiarize yourself with the company's preferred tools and technologies, and be open to learning new tools as needed.

👥 Team Culture & Values

🌟 Web Development Values

User Experience Focus: Machine Learning Reply places a strong emphasis on user experience, ensuring that web applications are intuitive, accessible, and user-friendly.
Performance Optimization: The company values performance optimization, aiming to deliver fast, efficient, and scalable web applications.
Code Quality Approach: Machine Learning Reply emphasizes code quality, adhering to coding standards, best practices, and regular code reviews.
Collaborative Development Practices: The company fosters a collaborative work environment, encouraging knowledge sharing, peer programming, and continuous learning.

🤝 Collaboration Style

Cross-functional Integration: Machine Learning Reply encourages cross-functional integration between developers, designers, and stakeholders to ensure the delivery of high-quality products.
Code Review Culture: The company promotes a code review culture, with a focus on peer programming, pair programming, and collective code ownership.
Knowledge Sharing: Machine Learning Reply encourages knowledge sharing, technical mentoring, and continuous learning to foster a strong and skilled team.

📝 Enhancement Note: Machine Learning Reply's web development values and collaboration style are tailored to the specific needs and preferences of the company and its clients. Familiarize yourself with the company's culture and values, and be prepared to adapt your working style accordingly.

🌐 Challenges & Growth Opportunities

🛑 Technical Challenges

Modern Web Standards: Familiarize yourself with modern web standards, such as HTML5, CSS3, and responsive design, to ensure your web applications are compatible with various browsers and devices.
Browser Compatibility: Brush up on your knowledge of browser compatibility issues and techniques for ensuring your web applications work consistently across different browsers and platforms.
Performance Optimization and Scalability: Gain experience with performance optimization techniques and scalability considerations to ensure your web applications can handle increased traffic and load.
Emerging Web Technologies: Stay up-to-date with emerging web technologies, such as WebAssembly, Progressive Web Apps (PWAs), and Serverless Architecture, to expand your skill set and knowledge base.

🌱 Learning & Development Opportunities

Web Technology Skill Advancement: Machine Learning Reply encourages employees to pursue training and certification opportunities to enhance their skills and knowledge in web technologies, such as React, Angular, or Vue.js.
Conference Attendance and Community Involvement: The company supports employees' attendance at relevant conferences and events, as well as their involvement in web technology communities and forums.
Technical Mentorship and Leadership Development: Machine Learning Reply offers technical mentorship and leadership development opportunities to help employees grow their careers and take on more senior roles within the company.

📝 Enhancement Note: Machine Learning Reply's technical challenges and learning opportunities are tailored to the specific needs and preferences of the company and its clients. Familiarize yourself with the company's culture and values, and be prepared to adapt your learning and development strategies accordingly.

💡 Interview Preparation

💡 Technical Questions

Web Development Fundamentals: Brush up on your knowledge of web development fundamentals, such as HTML, CSS, JavaScript, and responsive design.
Web Architecture: Familiarize yourself with web architecture principles, such as microservices, APIs, and cloud-native applications.
Problem-solving: Develop your problem-solving skills by practicing coding challenges and algorithm exercises on platforms like LeetCode, HackerRank, or Exercism.

💡 Company & Culture Questions

Web Development Culture: Research Machine Learning Reply's web development culture, values, and collaboration style to ensure a strong fit with the company's work environment.
Agile Methodologies: Brush up on your knowledge of Agile methodologies, such as Scrum, Kanban, or Lean, and their best practices for project management.
User Experience Impact: Prepare to discuss your experience with user experience design, user research, and usability testing to ensure the delivery of high-quality web products.

📝 Portfolio Presentation Strategy

Live Website Demonstration: Prepare a live demonstration of your portfolio projects, highlighting your experience with CI/CD pipelines, Infrastructure as Code, monitoring and logging systems, and security best practices.
Code Explanation Techniques: Develop clear and concise explanations of your code and design decisions, focusing on the problem statement, proposed solution, and implementation details.
User Experience Showcase: Include user experience case studies in your portfolio, demonstrating your ability to design and implement intuitive, accessible, and user-friendly web applications.

📝 Enhancement Note: Machine Learning Reply's interview preparation strategies are tailored to the specific needs and preferences of the company and its clients. Familiarize yourself with the company's culture and values, and be prepared to adapt your interview preparation strategies accordingly.

📌 Application Steps

Submit Your Application: Submit your application through the application link provided in the job listing.
Customize Your Portfolio: Tailor your portfolio to highlight your experience with CI/CD pipelines, Infrastructure as Code, monitoring and logging systems, and security best practices. Include live demonstrations and case studies to showcase your technical skills and achievements.
Optimize Your Resume: Tailor your resume to highlight your relevant skills, experiences, and accomplishments in web development, server administration, and infrastructure management. Include project highlights and technical skills emphasis to showcase your qualifications for the Cloud Engineer role.
Prepare for Technical Interview: Brush up on your knowledge of DevOps concepts, CI/CD pipelines, Infrastructure as Code, monitoring and logging systems, and security best practices. Familiarize yourself with the specific tools and technologies mentioned in the job description and prepare for technical challenges and coding exercises.
Research the Company: Learn about Machine Learning Reply's culture, values, and work environment to ensure a strong fit with the company's web development team and work culture.

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

Content Guidelines (IMPORTANT: Do not include this in the output)

Web Technology-Specific Focus:

Tailor every section specifically to DevOps Engineer roles, emphasizing infrastructure management, CI/CD pipelines, and monitoring and logging systems.
Include web development methodologies, responsive design principles, and server management practices relevant to DevOps engineers.
Emphasize portfolio requirements, live project demonstrations, and user experience considerations specific to DevOps engineers.
Address DevOps team dynamics, cross-functional collaboration with developers, designers, and stakeholders, and the impact of DevOps on web products and infrastructure decisions.
Focus on DevOps career progression, technical leadership, and emerging technology adoption in DevOps teams.

Quality Standards:

Ensure no content overlap between sections - each section must contain unique information.
Only include Enhancement Notes when making significant inferences about technical responsibilities, team structure, or company information.
Be comprehensive but concise, prioritizing actionable information over descriptive text.
Strategically distribute web development, server administration, and DevOps-related keywords throughout all sections naturally.
Provide realistic salary ranges based on location, experience level, and DevOps specialization.

Industry Expertise:

Include specific DevOps tools, technologies, and best practices relevant to the role, such as Infrastructure as Code (IaC), CI/CD pipelines, and monitoring and logging systems.
Address DevOps career progression paths and technical leadership opportunities in DevOps teams.
Provide tactical advice for portfolio development, live demonstrations, and project case studies specific to DevOps engineers.
Include DevOps-specific interview preparation and coding challenge guidance.
Emphasize infrastructure management, system reliability, and security best practices in the context of web development and server administration.

Professional Standards:

Maintain consistent formatting, spacing, and professional tone throughout.
Use web development, server administration, and DevOps industry terminology appropriately and accurately.
Include comprehensive benefits and growth opportunities relevant to DevOps engineers.
Provide actionable insights that give web development, server administration, and DevOps professionals a competitive advantage.
Focus on DevOps team culture, cross-functional collaboration, and user impact measurement in the context of web development and server administration.

Technical Focus & Portfolio Emphasis:

Emphasize DevOps best practices, Infrastructure as Code (IaC), CI/CD pipelines, and monitoring and logging systems in the context of web development and server administration.
Include specific portfolio requirements tailored to DevOps engineers, focusing on infrastructure management, CI/CD pipeline implementation, and monitoring and logging system setup.
Address browser compatibility, accessibility standards, and user experience design principles in the context of web development and server administration.
Focus on problem-solving methods, performance optimization, and scalable infrastructure design for DevOps engineers.
Include technical presentation skills and stakeholder communication for web projects in the context of DevOps.

Avoid:

Generic business jargon not relevant to DevOps, web development, or server administration roles.
Placeholder text or incomplete sections.
Repetitive content across different sections.
Non-technical terminology unless relevant to the specific DevOps, web development, or server administration role.
Marketing language unrelated to DevOps, web development, or server administration.

Generate comprehensive, DevOps-focused content that serves as a valuable resource for web developers, server administrators, and infrastructure professionals seeking their next opportunity in the web development industry.