📍 Job Overview

• Job Title: Mid-Level Cloud & Kubernetes Analyst (31693)
• Company: Bosch Group
• Location: Curitiba, Paraná, Brazil
• Job Type: Tempo integral (Full-Time)
• Category: DevOps Engineer, System Administrator, Web Infrastructure
• Date Posted: 2025-07-03
• Experience Level: 2-5 anos (2-5 years)
• Remote Status: Hybrid

🚀 Role Summary

• 📝 Enhancement Note: This role focuses on cloud and Kubernetes management, requiring a strong background in container orchestration, cloud platforms, and big data processing. The ideal candidate will have experience with Kubernetes, cloud platforms (AWS, Azure, or GCP), and Databricks or similar big data platforms.

• The Mid-Level Cloud & Kubernetes Analyst will play a crucial role in maintaining and optimizing cloud-based applications, Kubernetes clusters, and Databricks environments. They will collaborate with cross-functional teams to ensure high performance, scalability, and security of systems.

💻 Primary Responsibilities

• 📝 Enhancement Note: This role involves a mix of technical and collaborative responsibilities, requiring strong troubleshooting skills, effective communication, and the ability to work well in a team environment.

• 🔑 Maintain and optimize Kubernetes clusters and cloud-based applications:

  • Deploy, monitor, and manage containerized applications using Docker on cloud platforms (AWS, Azure, or GCP).
  • Collaborate with development and operations teams to ensure high performance and scalability of systems.
  • Monitor infrastructure using tools like Grafana and Prometheus to ensure high availability.

• 🛠 Develop and implement automation scripts and tools:

  • Create scripts and tools to enhance operational efficiency and automate repetitive tasks.
  • Participate in the design of scalable, resilient, and secure cloud-native solutions.

• 🛡 Troubleshoot issues and ensure system reliability:

  • Troubleshoot issues related to Kubernetes environments, data pipelines, and distributed applications.
  • Contribute to continuous improvement initiatives and knowledge sharing within the team.

🎓 Skills & Qualifications

Education: Bachelor's degree in Electrical Engineering, Software Engineering, IT, Automation, Industrial Engineering, or a related field.

Experience: Proven experience with Kubernetes, cloud platforms (AWS, Azure, or GCP), and Databricks or similar big data platforms.

Required Skills:

• Strong scripting skills in Python, Bash, or similar languages.
• Experience with containerized applications using Docker.
• Proficiency in monitoring with Grafana, Prometheus, or similar tools.
• Effective communication skills in English (spoken and written).

Preferred Skills:

• Experience with CI/CD pipelines and Infrastructure as Code (Terraform, Ansible, etc.).
• Proficiency in Apache Kafka for real-time event processing and integration.
• Understanding of data engineering concepts and large-scale data processing.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

• 📝 Enhancement Note: As this role focuses on cloud and Kubernetes management, the portfolio should highlight projects involving container orchestration, cloud platforms, and big data processing. Include case studies demonstrating problem-solving, automation, and system optimization skills.

• Kubernetes and cloud project case studies:

  • Document the architecture, deployment process, and monitoring strategies for Kubernetes clusters and cloud-based applications.
  • Highlight any challenges faced and how you overcame them, demonstrating your troubleshooting skills.

• Big data project case studies:

  • Showcase your experience with Databricks or similar big data platforms by including case studies that demonstrate data processing, transformation, and analysis.
  • Explain the data pipelines and how you ensured data integrity, reliability, and performance.

Technical Documentation:

• 📝 Enhancement Note: Include detailed technical documentation for your projects, focusing on code quality, commenting, and documentation standards. This will help demonstrate your attention to detail and commitment to best practices.

• Code quality and documentation:

  • Ensure your code is well-commented, modular, and follows best practices for the languages used in your projects.
  • Include version control, deployment processes, and server configuration documentation to showcase your understanding of the entire development lifecycle.

• Testing methodologies and performance metrics:

  • Describe the testing methodologies you used to ensure the reliability and performance of your projects.
  • Include performance metrics and optimization techniques to demonstrate your commitment to continuous improvement.

💵 Compensation & Benefits

Salary Range: According to Glassdoor, the average salary for a DevOps Engineer in Curitiba, Brazil, is approximately R$ 8,000 - R$ 12,000 per month. However, this can vary depending on the candidate's experience and skills.

Benefits:

• Health Insurance
• Dental Insurance
• Flexible Work Hours
• Home Office Policy
• Profit Sharing
• International Expatriation Policy
• Private Pension Plan
• Life Insurance
• On-site Childcare Assistance
• Extended Maternity Leave
• Extended Paternity Leave
• On-site Meals
• Free Parking
• Year-end Benefits
• School Supplies Assistance
• Training and Development Programs

Working Hours: The standard working hours are 40 hours per week, with flexible work arrangements available.

📝 Enhancement Note: The salary range provided is an estimate based on regional market standards for DevOps Engineer roles. The actual salary may vary depending on the candidate's experience, skills, and the company's internal compensation structure.

🎯 Team & Company Context

Company Culture

Industry: The Bosch Group is a global supplier of technology and services, operating in the areas of automotive technology, industrial technology, consumer goods, and energy and building technology.

Company Size: The Bosch Group is a large, multinational corporation with over 400,000 associates worldwide. This size allows for diverse teams, extensive resources, and numerous opportunities for growth and development.

Founded: The company was founded in 1886 by Robert Bosch in Stuttgart, Germany, and has since grown into a global leader in innovation and technology.

Team Structure:

• The team consists of experienced professionals specializing in cloud and Kubernetes management, big data processing, and infrastructure as code.
• The reporting structure is hierarchical, with clear lines of communication and collaboration between team members and stakeholders.
• Cross-functional collaboration is encouraged, with regular interactions between development, operations, and business teams to ensure high-quality, user-focused solutions.

Development Methodology:

• The team follows Agile methodologies, with regular sprint planning, code reviews, and testing processes to ensure high-quality, efficient development.
• CI/CD pipelines are used to automate deployment and ensure consistent, reliable releases.
• Infrastructure as code (IaC) tools, such as Terraform or Ansible, are employed to manage and provision cloud resources, ensuring consistency and automation in the infrastructure lifecycle.

Company Website: Bosch Group

📝 Enhancement Note: The Bosch Group's culture is characterized by innovation, quality, and sustainability. The company values diversity, inclusion, and continuous learning, providing numerous opportunities for professional growth and development.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the mid-level, requiring a solid foundation in cloud and Kubernetes management, big data processing, and infrastructure as code. The ideal candidate will have 2-5 years of experience in a relevant role and be eager to take on new challenges and responsibilities.

Reporting Structure: The Mid-Level Cloud & Kubernetes Analyst will report directly to the team leader or manager, with regular check-ins to discuss progress, provide feedback, and plan for future growth.

Technical Impact: In this role, you will have a significant impact on the performance, scalability, and reliability of cloud-based applications and Kubernetes clusters. Your work will directly influence user experience, data processing, and overall system architecture.

Growth Opportunities:

• 📝 Enhancement Note: With the company's large size and diverse range of projects, there are numerous opportunities for growth and development. The Mid-Level Cloud & Kubernetes Analyst role provides a strong foundation for advancing to senior-level positions, technical leadership roles, or specialized tracks in cloud architecture, big data engineering, or infrastructure as code.

• Cloud Architecture Specialist: Develop expertise in cloud architecture, designing and implementing scalable, secure, and efficient cloud-native solutions. This path may lead to senior-level positions or specialized roles in cloud architecture.

• Big Data Engineer: Deepen your knowledge of big data processing, data pipelines, and data warehousing. This path may lead to specialized roles in big data engineering or data architecture.

• Technical Lead/Architect: Demonstrate strong leadership skills, technical expertise, and the ability to make critical decisions. This path may lead to technical leadership roles, where you will guide teams and drive technical strategy.

🌐 Work Environment

Office Type: The office is a modern, collaborative workspace with a focus on open communication and cross-functional teamwork.

Office Location(s): The role is based in Curitiba, Paraná, Brazil, with the option for hybrid work arrangements.

Workspace Context:

• 📝 Enhancement Note: The hybrid work arrangement allows for flexibility in working from home or the office, with regular team meetings and collaboration sessions to ensure effective communication and knowledge sharing.

• 🏢 Office environment:

  • The office provides a comfortable, well-equipped workspace with multiple monitors, testing devices, and access to development tools.
  • The team encourages knowledge sharing, technical mentoring, and continuous learning, fostering a collaborative and supportive work environment.

• 🏠 Home office environment:

  • For hybrid work arrangements, the ideal home office setup should include a stable internet connection, a suitable workspace, and access to necessary tools and resources.
  • The company provides guidelines and support for setting up an effective home office environment.

Work Schedule: The standard work schedule is 40 hours per week, with flexible hours and the option to work from home for hybrid roles.

📝 Enhancement Note: The hybrid work arrangement allows for a better work-life balance, with the flexibility to work from home when needed. The company encourages open communication and regular team meetings to ensure effective collaboration and knowledge sharing.

📄 Application & Technical Interview Process

Interview Process:

• 📝 Enhancement Note: The interview process for the Mid-Level Cloud & Kubernetes Analyst role will consist of several stages, focusing on technical skills, problem-solving abilities, and cultural fit. The process may include phone screens, technical assessments, and on-site interviews.

• Phone screen:

  • A brief phone or video call to discuss your resume, experience, and motivation for the role.
  • This stage may also include a short technical assessment to evaluate your understanding of cloud platforms, Kubernetes, and big data processing.

• Technical assessment:

  • A hands-on technical assessment to evaluate your skills in cloud and Kubernetes management, big data processing, and infrastructure as code.
  • You may be asked to complete a project, case study, or coding challenge related to these technologies.

• On-site interview:

  • A face-to-face interview to discuss your technical assessment, answer any questions you may have, and assess your cultural fit with the team.
  • This stage may also include a tour of the office and an opportunity to meet potential colleagues.

Portfolio Review Tips:

• 📝 Enhancement Note: As this role focuses on cloud and Kubernetes management, your portfolio should highlight projects involving container orchestration, cloud platforms, and big data processing. Include case studies demonstrating problem-solving, automation, and system optimization skills.

• Project case study structure:

  • Clearly outline the project's objectives, the technologies used, and the challenges faced.
  • Explain your role in the project, the solutions you implemented, and the outcomes achieved.
  • Include any relevant metrics, user feedback, or performance data to demonstrate the impact of your work.

• Code quality demonstration:

  • Showcase your attention to detail and commitment to best practices by including well-commented, modular code examples.
  • Highlight any code optimizations, performance improvements, or innovative solutions you implemented.

Technical Challenge Preparation:

• 📝 Enhancement Note: The technical challenges for the Mid-Level Cloud & Kubernetes Analyst role will focus on your ability to design, implement, and maintain cloud-native solutions, manage Kubernetes clusters, and process big data. Familiarize yourself with the latest trends and best practices in these areas to ensure success in the interview process.

• Challenge preparation tips:

  • Brush up on your knowledge of cloud platforms (AWS, Azure, or GCP), Kubernetes, and Databricks or similar big data platforms.
  • Practice designing and implementing scalable, secure, and efficient cloud-native solutions.
  • Familiarize yourself with infrastructure as code (IaC) tools, such as Terraform or Ansible, and gain hands-on experience with these tools.

• Communication and technical explanation articulation:

  • Prepare clear and concise explanations of your technical approach, decisions, and any challenges you faced during the project.
  • Practice articulating your thought process and explaining complex technical concepts in a simple and understandable manner.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: (Not applicable for this role)

Backend & Server Technologies:

• 📝 Enhancement Note: As this role focuses on cloud and Kubernetes management, the technology stack will primarily consist of backend and server technologies, with an emphasis on cloud platforms, container orchestration, and big data processing.

• Cloud platforms:

  • AWS, Azure, or GCP (depending on the company's preferred cloud provider)
  • Familiarity with cloud-based services, such as IaaS, PaaS, and SaaS, is essential.

• Container orchestration:

  • Kubernetes: Proficiency in managing and optimizing Kubernetes clusters is required.
  • Docker: Experience with containerizing applications and managing Docker images is essential.

• Big data processing:

  • Databricks: Hands-on experience with Databricks or similar big data platforms is required.
  • Apache Kafka: Familiarity with real-time event processing and integration using Apache Kafka is preferred.

• Infrastructure as code (IaC):

  • Terraform or Ansible: Experience with IaC tools for managing and provisioning cloud resources is preferred.

Development & DevOps Tools:

• 📝 Enhancement Note: As this role involves a mix of development, operations, and infrastructure management, the development and DevOps tools used will be critical to ensuring efficient, reliable, and scalable cloud-native solutions.

• Version control:

  • Git: Proficiency in Git for collaborative development and version control is required.

• CI/CD pipelines:

  • Jenkins, GitLab CI/CD, or similar tools: Experience with CI/CD pipelines for automated deployment and continuous integration is preferred.

• Monitoring tools:

  • Prometheus and Grafana: Familiarity with monitoring tools for ensuring high availability and performance of cloud-based applications is essential.

👥 Team Culture & Values

Web Development Values:

• 📝 Enhancement Note: Although this role focuses on cloud and Kubernetes management, the team values align with the broader web development and technology industry. These values emphasize innovation, quality, user experience, and continuous learning.

• Innovation and quality:

  • The team values innovation and strives to deliver high-quality, efficient, and reliable cloud-native solutions.
  • They encourage continuous learning and the exploration of new technologies and approaches to improve existing solutions.

• User experience:

  • The team is committed to delivering user-focused solutions that meet the needs of end-users and stakeholders.
  • They prioritize user experience, accessibility, and performance optimization in all projects.

• Collaboration and knowledge sharing:

  • The team values open communication, collaboration, and knowledge sharing, fostering a supportive and inclusive work environment.
  • They encourage team members to share their expertise, learn from one another, and grow together.

Collaboration Style:

• 📝 Enhancement Note: The team's collaboration style emphasizes open communication, cross-functional teamwork, and knowledge sharing to ensure high-quality, user-focused solutions.

• Cross-functional integration:

  • The team works closely with development, design, marketing, and business teams to ensure that cloud-native solutions meet user needs and business objectives.
  • They encourage regular interactions and collaboration between teams to foster a user-centered approach to problem-solving.

• Code review culture:

  • The team values code reviews and peer programming practices to ensure high-quality, efficient, and maintainable code.
  • They encourage team members to provide constructive feedback, learn from each other, and continuously improve their skills.

📝 Enhancement Note: The team's culture emphasizes innovation, quality, user experience, and continuous learning. They value open communication, collaboration, and knowledge sharing, fostering a supportive and inclusive work environment that prioritizes the delivery of high-quality, user-focused cloud-native solutions.

🌐 Challenges & Growth Opportunities

Technical Challenges:

• 📝 Enhancement Note: As a Mid-Level Cloud & Kubernetes Analyst, you will face technical challenges related to cloud and Kubernetes management, big data processing, and infrastructure as code. These challenges will require strong problem-solving skills, a deep understanding of the technologies involved, and the ability to design and implement efficient, scalable, and secure solutions.

• Cloud and Kubernetes management challenges:

  • Scaling and optimizing Kubernetes clusters to meet changing demands and ensure high availability.
  • Managing and monitoring cloud-based applications and infrastructure to maintain performance, reliability, and security.
  • Troubleshooting issues related to Kubernetes environments, data pipelines, and distributed applications.

• Big data processing challenges:

  • Designing and implementing efficient data pipelines and processing workflows to handle large-scale data sets.
  • Ensuring data integrity, reliability, and performance in big data processing and analytics projects.
  • Optimizing data storage, processing, and analysis to improve performance and reduce costs.

• Infrastructure as code (IaC) challenges:

  • Designing and implementing IaC solutions to manage and provision cloud resources efficiently and consistently.
  • Ensuring the security, scalability, and reliability of IaC solutions in production environments.
  • Troubleshooting and optimizing IaC workflows to improve performance and reduce manual intervention.

Learning & Development Opportunities:

• 📝 Enhancement Note: With the company's large size and diverse range of projects, there are numerous opportunities for growth and development. The Mid-Level Cloud & Kubernetes Analyst role provides a strong foundation for advancing to senior-level positions, technical leadership roles, or specialized tracks in cloud architecture, big data engineering, or infrastructure as code.

• Cloud architecture specialist path:

  • Develop expertise in cloud architecture, designing and implementing scalable, secure, and efficient cloud-native solutions.
  • This path may lead to senior-level positions or specialized roles in cloud architecture.

• Big data engineer path:

  • Deepen your knowledge of big data processing, data pipelines, and data warehousing.
  • This path may lead to specialized roles in big data engineering or data architecture.

• Technical lead/architect path:

  • Demonstrate strong leadership skills, technical expertise, and the ability to make critical decisions.
  • This path may lead to technical leadership roles, where you will guide teams and drive technical strategy.

💡 Interview Preparation

Technical Questions:

• 📝 Enhancement Note: The technical questions for the Mid-Level Cloud & Kubernetes Analyst role will focus on your understanding of cloud and Kubernetes management, big data processing, and infrastructure as code. Be prepared to discuss your experience with these technologies, the challenges you've faced, and the solutions you've implemented.

• Cloud and Kubernetes management questions:

  • Can you describe your experience with Kubernetes and container orchestration? What challenges have you faced, and how did you overcome them?
  • How do you approach scaling and optimizing Kubernetes clusters to meet changing demands and ensure high availability?
  • Can you explain your experience with cloud platforms (AWS, Azure, or GCP)? What challenges have you faced, and how did you address them?

• Big data processing questions:

  • Can you describe your experience with Databricks or similar big data platforms? What challenges have you faced, and how did you overcome them?
  • How do you ensure data integrity, reliability, and performance in big data processing and analytics projects?
  • Can you explain your experience with Apache Kafka for real-time event processing and integration? What challenges have you faced, and how did you address them?

• Infrastructure as code (IaC) questions:

  • Can you describe your experience with IaC tools, such as Terraform or Ansible? What challenges have you faced, and how did you address them?
  • How do you ensure the security, scalability, and reliability of IaC solutions in production environments?
  • Can you explain your approach to troubleshooting and optimizing IaC workflows? What challenges have you faced, and how did you overcome them?

Company & Culture Questions:

• 📝 Enhancement Note: The company and culture questions for the Mid-Level Cloud & Kubernetes Analyst role will focus on your understanding of the company's mission, values, and work environment. Be prepared to discuss your fit with the team, your motivation for the role, and your long-term career goals.

• Company mission and values questions:

  • Can you explain why you are interested in working for the Bosch Group, and how your skills and experience align with the company's mission and values?
  • How do you see yourself contributing to the company's long-term goals and success?

• Work environment and team fit questions:

  • Can you describe your preferred work environment, and how does the Bosch Group's hybrid work arrangement fit with your needs and preferences?
  • How do you approach collaboration and knowledge sharing in a team environment? Can you provide an example of a successful team project you've worked on, and the role you played in it?

Portfolio Presentation Strategy:

• 📝 Enhancement Note: As this role focuses on cloud and Kubernetes management, your portfolio should highlight projects involving container orchestration, cloud platforms, and big data processing. Include case studies demonstrating problem-solving, automation, and system optimization skills.

• Live website demonstration and technical walkthrough methods:

  • Prepare a live demonstration of your portfolio, showcasing your technical expertise and the impact of your work on cloud-native solutions, Kubernetes clusters, and big data processing projects.
  • Include a technical walkthrough of your code, explaining your approach, decisions, and any challenges you faced during the project.

• Code explanation techniques and architecture decision reasoning:

  • Prepare clear and concise explanations of your technical approach, decisions, and any challenges you faced during the project.
  • Articulate your thought process and explain complex technical concepts in a simple and understandable manner.

• User experience showcase and responsive design demonstration methods:

  • Although this role focuses on cloud and Kubernetes management, it's essential to demonstrate your understanding of user experience and responsive design principles.
  • Include case studies that highlight your ability to design and implement user-focused solutions, with a strong emphasis on accessibility, performance, and responsiveness.

📌 Application Steps

To apply for this Mid-Level Cloud & Kubernetes Analyst position at the Bosch Group:

1. 📝 Enhancement Note: Ensure your resume and application materials highlight your relevant experience with cloud and Kubernetes management, big data processing, and infrastructure as code. Tailor your application to emphasize your technical skills, problem-solving abilities, and cultural fit with the team.

• Submit your application through the application link provided.
• Concrete preparation step 1: Customize your resume and portfolio to highlight your relevant experience with cloud and Kubernetes management, big data processing, and infrastructure as code. Tailor your application materials to emphasize your technical skills, problem-solving abilities, and cultural fit with the team.
• Concrete preparation step 2: Research the Bosch Group's mission, values, and work environment to ensure a strong understanding of the company and its culture. Prepare thoughtful and informed responses to company and culture-related interview questions.
• Concrete preparation step 3: Brush up on your technical skills and knowledge of cloud and Kubernetes management, big data processing, and infrastructure as code. Practice problem-solving and coding challenges related to these technologies to ensure success in the interview process.
• Concrete preparation step 4: Prepare a strong portfolio showcasing your technical expertise, problem-solving abilities, and user experience focus. Include case studies that highlight your ability to design and implement cloud-native solutions, manage Kubernetes clusters, and process big data.

⚠️ 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.