Mid Level DevOps Analyst – Cloud & Kubernetes (31875) at Bosch Group

📍 Job Overview

Job Title: Mid Level DevOps Analyst – Cloud & Kubernetes (31875)
Company: Bosch Group
Location: Curitiba, Paraná, Brazil
Job Type: Tempo integral (Full-Time)
Category: DevOps Engineer
Date Posted: 2025-07-17
Experience Level: 2-5 (Mid-Level)
Remote Status: On-site/Hybrid

🚀 Role Summary

Develop, deploy, and maintain scalable cloud-native solutions using cutting-edge DevOps practices.
Collaborate with cross-functional agile teams to build, maintain, and evolve the MAS architecture.
Ensure solutions follow best practices in security, scalability, and performance.
Leverage Microsoft Azure services, Docker, Kubernetes, Apache Kafka, and relational databases.

📝 Enhancement Note: This role requires a strong focus on cloud and containerization technologies, with a significant emphasis on Microsoft Azure and Kubernetes. Candidates should be comfortable working in an agile environment and collaborating with various teams to deliver scalable solutions.

💻 Primary Responsibilities

Build and maintain scalable data ingestion, transformation, and publication pipelines using Databricks on Azure.
Use Apache Airflow deployed in Kubernetes to orchestrate Databricks workflows efficiently.
Implement and operate high volume streaming integrations using Confluent/Kafka, interoperating with Event Hubs when needed.
Create reusable Python/Scala libraries to accelerate development of new MAS data domains.
Ensure reliability, versioning, and traceability of data in regulated/industrial environments.
Participate in architectural and technical decision-making within agile squads.
Collaborate with platform engineering, security, and data product teams to evolve the MAS architecture.
Work with Microsoft Azure services such as App Services, Storage, Functions, and Event Hub.
Work with relational databases including SQL Server and Oracle.

📝 Enhancement Note: This role involves a mix of development, deployment, and maintenance tasks, requiring a strong understanding of both cloud and on-premises infrastructure. Candidates should be comfortable working with various data processing tools and have experience with data pipelines and streaming integrations.

🎓 Skills & Qualifications

Education: Bachelor's degree in related fields such as Electrical Engineering, Software Engineering, IT, Automation, or Industrial Engineering.

Experience: Hands-on experience with Docker and Kubernetes, Microsoft Azure services, Apache Kafka, and relational databases.

Required Skills:

Advanced English – Mandatory
Hands-on experience with Docker and Kubernetes
Solid understanding of Microsoft Azure services
Experience with Apache Kafka (or similar tools for event streaming)
Proficiency in relational databases (SQL Server, Oracle)
Strong knowledge of Git and CI/CD pipelines

Preferred Skills:

Hybrid Batch + Streaming: Lambda/Kappa patterns; incremental loads for Lakehouse architecture.
Data Security: Secret management (Azure Key Vault / HashiCorp Vault), encryption at rest and in transit, product/domain-level access control.
Experience with Terraform or other Infrastructure as Code (IaC) tools
Knowledge of NoSQL databases (e.g., Cosmos DB, MongoDB)
Familiarity with DevOps practices and observability tools (logs, metrics, alerts)
Certifications in Azure, Kubernetes
Proficiency with modern frontend frameworks (e.g., React, Angular)

📝 Enhancement Note: Given the role's focus on cloud and data processing, candidates with experience in data engineering, data warehousing, or big data technologies would be particularly well-suited. Additionally, experience with infrastructure as code (IaC) tools and knowledge of NoSQL databases could provide a significant advantage.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate experience with cloud-native solutions and containerization technologies, such as Docker and Kubernetes.
Showcase projects involving data pipelines, streaming integrations, and data processing using tools like Databricks, Apache Airflow, and Apache Kafka.
Highlight your ability to work with Microsoft Azure services and relational databases.
Include examples of your experience with DevOps practices, CI/CD pipelines, and infrastructure as code (IaC) tools.

Technical Documentation:

Provide clear and concise documentation for your projects, including code comments, version control, and deployment processes.
Include any relevant metrics, performance optimizations, and testing methodologies.

📝 Enhancement Note: Given the role's focus on data processing and cloud-native solutions, candidates should emphasize projects that demonstrate their ability to work with large datasets, streaming data, and cloud infrastructure. Additionally, including any relevant certifications or training in cloud and data processing technologies could strengthen the portfolio.

💵 Compensation & Benefits

Salary Range: The salary range for this role in Curitiba, Brazil, is typically between R$6,000 and R$8,000 per month for a mid-level DevOps engineer, according to local market research and web technology industry standards.

Benefits:

Health Assistance
Flexible Work Hours
Profit Sharing
Private Pension Plan
Life Insurance
On-site Meals
Free Parking
Educational Subsidies
Training and Development
Volunteering Opportunities

Working Hours: 40 hours/week with flexible work arrangements and home office opportunities.

📝 Enhancement Note: The salary range provided is an estimate based on local market research and web technology industry standards. Actual compensation may vary depending on the candidate's experience and the company's internal policies. Additionally, the benefits package is quite comprehensive, including health assistance, educational subsidies, and volunteering opportunities, which can significantly enhance the overall compensation package.

🎯 Team & Company Context

🏢 Company Culture

Industry: The Bosch Group is a multinational engineering and technology company that operates in the fields of mobility solutions, consumer goods, industrial technology, and energy and building technology. In the context of this role, the company is focusing on cloud and data processing technologies.

Company Size: With over 400,000 associates worldwide, the Bosch Group is a large organization that offers numerous opportunities for growth and collaboration. For web technology professionals, this size can provide exposure to diverse projects and technologies.

Founded: The company was founded in Stuttgart, Germany, in 1886, and has since grown into a global leader in its respective industries.

Team Structure:

The team for this role is part of a cross-functional agile team, working on the development, deployment, and maintenance of scalable cloud-native solutions.
The team collaborates with platform engineering, security, and data product teams to evolve the MAS architecture.
The team size and specialization areas include frontend, backend, DevOps, and data engineering roles.

Development Methodology:

The team follows Agile methodologies, including Scrum, to deliver solutions efficiently and effectively.
Code review, testing, and quality assurance practices are in place to ensure the reliability and performance of the solutions.
Deployment strategies, CI/CD pipelines, and server management are essential aspects of the team's work.

Company Website: Bosch Group Website

📝 Enhancement Note: The Bosch Group's large size and global presence offer web technology professionals the opportunity to work on diverse projects and collaborate with various teams. The company's focus on innovation and continuous improvement can provide a challenging and rewarding work environment for the right candidate.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the mid-level (2-5 years of experience) in the web technology career progression. It requires a solid understanding of cloud and data processing technologies, as well as experience working in an agile environment.

Reporting Structure: The role reports directly to the team lead or manager within the cross-functional agile team.

Technical Impact: The Mid Level DevOps Analyst will have a significant impact on the development, deployment, and maintenance of scalable cloud-native solutions. They will collaborate with various teams to ensure solutions follow best practices in security, scalability, and performance.

Growth Opportunities:

Technical Growth: The role offers the opportunity to gain experience with cutting-edge cloud and data processing technologies, as well as exposure to various teams and projects within the organization.
Leadership Potential: With experience and strong performance, the candidate may have the opportunity to take on technical leadership roles, mentoring junior team members, and contributing to architectural decisions.
Emerging Technology Adoption: The role provides the chance to work with emerging technologies in the cloud and data processing domains, staying up-to-date with the latest industry trends and best practices.

📝 Enhancement Note: Given the role's focus on cloud and data processing technologies, candidates should be prepared to stay up-to-date with the latest industry trends and best practices. Additionally, the opportunity to work with various teams and collaborate on diverse projects can provide a strong foundation for technical leadership and career growth.

🌐 Work Environment

Office Type: The work environment is a hybrid model, with a mix of on-site and remote work arrangements.

Office Location(s): The role is based in Curitiba, Brazil, with the option to work remotely when needed.

Workspace Context:

Collaborative Web Development Environment: The hybrid work model allows for both independent work and collaboration with team members, fostering a dynamic and interactive work environment.
Development Tools and Infrastructure: The team provides access to modern development tools, multiple monitors, and testing devices to ensure efficient and effective work.
Cross-Functional Collaboration: The role involves working with various teams, including platform engineering, security, and data product teams, promoting knowledge sharing and continuous learning.

Work Schedule: The work schedule is flexible, with the option to work from home and adjust working hours to accommodate project deadlines and maintenance windows.

📝 Enhancement Note: The hybrid work environment offers a balance between independent work and collaboration, allowing web technology professionals to manage their time effectively and maintain a healthy work-life balance. Additionally, the opportunity to work with diverse teams can provide valuable insights and continuous learning opportunities.

📄 Application & Technical Interview Process

Interview Process:

Technical Preparation: Familiarize yourself with the company's technology stack, including Microsoft Azure services, Docker, Kubernetes, Apache Kafka, and relational databases. Brush up on your knowledge of cloud and data processing technologies, as well as DevOps practices and agile methodologies.
Portfolio Review: Prepare a portfolio that showcases your experience with cloud-native solutions, data pipelines, streaming integrations, and cloud infrastructure. Include any relevant metrics, performance optimizations, and testing methodologies.
Technical Challenges: Be prepared to discuss your approach to data processing, cloud architecture, and security best practices. Demonstrate your ability to work with large datasets and streaming data, as well as your understanding of cloud infrastructure and deployment strategies.

Portfolio Review Tips:

Portfolio Structure: Organize your portfolio with a clear and concise structure, highlighting your most relevant projects and accomplishments.
Project Case Studies: Include detailed case studies that demonstrate your ability to work with cloud-native solutions, data pipelines, and streaming integrations. Highlight any relevant metrics, performance optimizations, and testing methodologies.
Code Quality: Ensure your code is well-documented, follows best practices, and is easy to understand. Include any relevant comments, version control, and deployment processes.
Presentation Strategy: Tailor your presentation strategy to the company's culture and values, emphasizing your ability to work collaboratively and deliver high-quality solutions.

Technical Challenge Preparation:

Technical Questions: Brush up on your knowledge of cloud and data processing technologies, as well as DevOps practices and agile methodologies. Be prepared to discuss your approach to data processing, cloud architecture, and security best practices.
Time Management: Practice time management techniques to ensure you can complete technical challenges efficiently and effectively.
Communication Skills: Refine your communication skills to articulate your technical concepts clearly and concisely, both in writing and verbally.

📝 Enhancement Note: Given the role's focus on cloud and data processing technologies, candidates should emphasize their experience with cloud-native solutions, data pipelines, and streaming integrations in their portfolio and interview preparation. Additionally, demonstrating strong communication skills and the ability to work collaboratively can significantly enhance the candidate's chances of success.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: Not applicable for this role.

Backend & Server Technologies:

Microsoft Azure Services: App Services, Storage, Functions, Event Hub, SQL Server, Oracle
Containerization Technologies: Docker, Kubernetes
Data Processing Tools: Databricks, Apache Airflow, Apache Kafka, Confluent/Kafka
Infrastructure Tools: Terraform (or other Infrastructure as Code (IaC) tools)

Development & DevOps Tools:

Version Control: Git
CI/CD Pipelines: Jenkins, Azure DevOps, or other CI/CD tools
Monitoring Tools: Prometheus, Grafana, or other monitoring tools

📝 Enhancement Note: The technology stack for this role is heavily focused on cloud and data processing technologies. Candidates should be comfortable working with Microsoft Azure services, containerization technologies, and data processing tools. Additionally, experience with infrastructure as code (IaC) tools and monitoring tools can provide a significant advantage.

👥 Team Culture & Values

Web Development Values:

Innovation: The team values innovation and staying up-to-date with the latest industry trends and best practices in cloud and data processing technologies.
Collaboration: The team emphasizes collaboration and knowledge sharing, fostering a dynamic and interactive work environment.
Quality: The team is committed to delivering high-quality solutions that meet the needs of the business and customers.
Continuous Learning: The team encourages continuous learning and professional development, providing opportunities for growth and advancement.

Collaboration Style:

Cross-Functional Integration: The team works closely with various teams, including platform engineering, security, and data product teams, to deliver solutions that meet the needs of the business and customers.
Code Review Culture: The team follows a code review culture to ensure the reliability and performance of the solutions.
Peer Programming Practices: The team encourages peer programming practices to share knowledge and improve the quality of the solutions.

📝 Enhancement Note: The team culture for this role emphasizes innovation, collaboration, and continuous learning. Candidates should be prepared to work collaboratively, stay up-to-date with the latest industry trends, and contribute to the team's success.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Cloud Architecture: Design and implement scalable cloud-native solutions that meet the needs of the business and customers.
Data Processing: Work with large datasets and streaming data, ensuring reliability, versioning, and traceability in regulated/industrial environments.
Security Best Practices: Implement and maintain security best practices, including secret management, encryption, and access control.
Emerging Technologies: Stay up-to-date with the latest industry trends and best practices in cloud and data processing technologies.

Learning & Development Opportunities:

Technical Skill Development: The role offers the opportunity to gain experience with cutting-edge cloud and data processing technologies, as well as exposure to various teams and projects within the organization.
Leadership Potential: With experience and strong performance, the candidate may have the opportunity to take on technical leadership roles, mentoring junior team members, and contributing to architectural decisions.
Emerging Technology Adoption: The role provides the chance to work with emerging technologies in the cloud and data processing domains, staying up-to-date with the latest industry trends and best practices.

📝 Enhancement Note: Given the role's focus on cloud and data processing technologies, candidates should be prepared to face technical challenges related to cloud architecture, data processing, and security best practices. Additionally, the opportunity to work with various teams and collaborate on diverse projects can provide valuable learning and growth opportunities.

💡 Interview Preparation

Technical Questions:

Cloud Architecture: Discuss your approach to designing and implementing scalable cloud-native solutions, considering security, scalability, and performance best practices.
Data Processing: Explain your experience working with large datasets and streaming data, as well as your approach to ensuring reliability, versioning, and traceability in regulated/industrial environments.
Security Best Practices: Describe your understanding of security best practices, including secret management, encryption, and access control, and how you would apply them in a cloud environment.
Emerging Technologies: Share your thoughts on the latest industry trends and best practices in cloud and data processing technologies, and how you would stay up-to-date with the rapidly evolving landscape.

Company & Culture Questions:

Company Culture: Demonstrate your understanding of the company's culture and values, emphasizing your ability to work collaboratively and contribute to the team's success.
Agile Methodologies: Explain your experience working in an agile environment, and how you would apply Agile methodologies to deliver high-quality solutions efficiently and effectively.
Team Dynamics: Discuss your approach to working with diverse teams, including platform engineering, security, and data product teams, and how you would foster a dynamic and interactive work environment.

Portfolio Presentation Strategy:

Cloud-Native Solutions: Highlight your experience with cloud-native solutions, data pipelines, and streaming integrations, emphasizing any relevant metrics, performance optimizations, and testing methodologies.
Collaboration and Communication: Emphasize your ability to work collaboratively and communicate effectively with team members, stakeholders, and customers.
Technical Depth: Demonstrate your technical expertise and understanding of cloud and data processing technologies, as well as your ability to work with large datasets and streaming data.

📝 Enhancement Note: Given the role's focus on cloud and data processing technologies, candidates should emphasize their experience with cloud-native solutions, data pipelines, and streaming integrations in their interview preparation. Additionally, demonstrating strong communication skills and the ability to work collaboratively can significantly enhance the candidate's chances of success.

📌 Application Steps

To apply for this Mid Level DevOps Analyst – Cloud & Kubernetes (31875) position:

Customize Your Portfolio: Tailor your portfolio to showcase your experience with cloud-native solutions, data pipelines, and streaming integrations, emphasizing any relevant metrics, performance optimizations, and testing methodologies.
Optimize Your Resume: Highlight your relevant project experience, technical skills, and accomplishments, focusing on cloud and data processing technologies.
Prepare for Technical Challenges: Brush up on your knowledge of cloud and data processing technologies, as well as DevOps practices and agile methodologies. Practice time management techniques and refine your communication skills.
Research the Company: Familiarize yourself with the company's technology stack, culture, and values. Prepare thoughtful questions to ask during the interview, demonstrating your interest in the role and the organization.

⚠️ 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.

Mid Level DevOps Analyst – Cloud & Kubernetes (31875)