Cloud DevOps Engineer (Observability Platforms) at dentsu

📍 Job Overview

Job Title: Cloud DevOps Engineer (Observability Platforms)
Company: dentsu
Location: Brno, Czech Republic
Job Type: Full-time
Category: DevOps Engineer
Date Posted: 2025-07-07
Experience Level: 5-10 years
Remote Status: Hybrid

🚀 Role Summary

Design, deploy, and manage cloud infrastructure and advanced log management platforms using Elastic Stack and Cribl.
Develop and implement Infrastructure as Code (IaC) and configuration management.
Automate log ingestion, processing, and analytics workflows.
Design, develop, and enhance Continuous Integration and Continuous Delivery (CI/CD) pipelines.
Collaborate with cross-functional teams to improve team workflows and customer experience.
Stay current with cloud computing trends and observability technologies, offering strategic recommendations.

📝 Enhancement Note: This role requires a strong background in cloud infrastructure, log management, and automation. Familiarity with Microsoft Azure and relevant tools is crucial for success in this position.

💻 Primary Responsibilities

Cloud Infrastructure Management: Design, deploy, and manage cloud infrastructure using Microsoft Azure, ensuring it is scalable, secure, and cost-effective.
Log Management: Leverage Elastic Stack and Cribl to manage and analyze log data, optimizing workflows and improving platform performance.
Automation & IaC: Develop and implement Infrastructure as Code (IaC) and configuration management using tools like Terraform, Ansible, or Azure Resource Manager (ARM) templates to automate infrastructure provisioning and ensure consistency.
CI/CD Pipeline Development: Design, develop, and enhance CI/CD pipelines using Azure DevOps to streamline software delivery and ensure high-quality releases.
Cross-Functional Collaboration: Work closely with software engineers, product managers, and other stakeholders to align with the software delivery lifecycle and DevOps best practices, ensuring that products and services meet business needs and user expectations.
Documentation & Knowledge Sharing: Document products, processes, and tools with a high degree of clarity and quality, contributing to a knowledge base that supports the team's growth and success.
Strategic Recommendations: Stay current with cloud computing trends and observability technologies, offering strategic recommendations to improve platform performance, security, and user experience.

📝 Enhancement Note: This role requires a strong focus on automation, optimization, and collaboration. The ideal candidate will have a proven track record of building, optimizing, and scaling CI/CD frameworks and a deep understanding of security and networking principles in a cloud-native Azure environment.

🎓 Skills & Qualifications

Education: A degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

Experience: Over 5 years of experience in designing, deploying, and managing solutions in Microsoft Azure for medium to large-scale applications.

Required Skills:

Proven expertise in log management tools such as Elastic Stack and Cribl (Splunk experience is a plus).
Advanced proficiency with at least two of the following languages: Bash, Python, JavaScript, Go, NodeJS, Java.
Expertise in automation using tools like Ansible, Terraform, or Azure Resource Manager (ARM) templates.
Proficiency with container technologies such as Docker and Kubernetes (particularly Azure Kubernetes Service – AKS); OpenShift experience is a bonus.
Familiarity with serverless and event-driven architectures in Azure, including Azure Functions and Event Grid.
Proven track record of building, optimizing, and scaling CI/CD frameworks, especially using Azure DevOps.
Deep understanding of security and networking principles in a cloud-native Azure environment.
Strong analytical and problem-solving skills with a proactive troubleshooting approach.
Ability to deliver excellent customer service, collaborate effectively with peers, and build trust across teams.
Strong written and verbal communication skills for effective cross-functional collaboration.
Fluency in English.

Preferred Skills:

Experience with PowerShell scripting.
Familiarity with SAFe and Azure DevOps Boards.
Knowledge of server configuration and deployment processes.
Experience with testing methodologies, performance metrics, and optimization techniques.

📝 Enhancement Note: Candidates should have a strong background in cloud infrastructure, log management, and automation. Familiarity with Microsoft Azure and relevant tools is crucial for success in this position. Additionally, candidates should have a curious, innovative mindset with a willingness to explore and implement new technologies.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Detailed case studies demonstrating your experience with cloud infrastructure management, log management, and automation using relevant tools.
Examples of CI/CD pipelines you've developed and maintained, highlighting your ability to streamline software delivery and ensure high-quality releases.
Documentation showcasing your ability to create clear, concise, and comprehensive technical documentation.
Examples of your problem-solving skills, demonstrating your ability to troubleshoot complex issues and optimize platform performance.

Technical Documentation:

Code quality, commenting, and documentation standards.
Version control, deployment processes, and server configuration.
Testing methodologies, performance metrics, and optimization techniques.

📝 Enhancement Note: As this role requires a strong focus on automation, optimization, and collaboration, candidates should highlight their experience with relevant tools and technologies in their portfolio. Additionally, candidates should emphasize their problem-solving skills and ability to work effectively with cross-functional teams.

💵 Compensation & Benefits

Salary Range: The salary range for this role in Brno, Czech Republic, is approximately 120,000 - 160,000 CZK per year, depending on experience and qualifications. This estimate is based on regional market research and industry standards for DevOps engineers with 5-10 years of experience.

Benefits:

Competitive salaries.
Volunteer days.
Wellness days.
Modern offices.
Multi-cultural environment that fosters creativity and innovation.
Growth opportunities through training, mentorship, and data-driven projects.

Working Hours: The standard working hours for this role are 40 hours per week, with flexible arrangements available for deployment windows, maintenance, and project deadlines.

📝 Enhancement Note: The salary range provided is an estimate based on regional market research and industry standards for DevOps engineers with 5-10 years of experience. Actual salary offers may vary depending on the candidate's qualifications and the company's internal compensation structure.

🎯 Team & Company Context

🏢 Company Culture

Industry: dentsu is a global advertising and marketing services company, operating in over 145 countries with a strong focus on innovation, creativity, and data-driven solutions.

Company Size: As part of dentsu, Merkle has a large global presence, with over 16,000 employees across 30+ countries, offering a wide range of opportunities for growth and collaboration.

Founded: Merkle was founded in 1988 and has since grown to become a leading customer experience agency, integrating creativity, technology, and data to drive real-world impact for its clients.

Team Structure:

The team consists of experienced cloud engineers, DevOps professionals, and software engineers working collaboratively to design, deploy, and manage cloud infrastructure and advanced log management platforms.
The team follows Agile methodologies, with a focus on continuous improvement and innovation.
The team works closely with cross-functional teams, including product managers, designers, and business stakeholders, to ensure that products and services meet business needs and user expectations.

Development Methodology:

The team follows Agile/Scrum methodologies, with a focus on sprint planning, code review, testing, and quality assurance practices.
The team leverages CI/CD pipelines to automate deployment processes and ensure high-quality releases.
The team uses tools like Azure DevOps, Jira, and Confluence to manage projects, track progress, and collaborate effectively.

Company Website: dentsu.com

📝 Enhancement Note: As a global advertising and marketing services company, dentsu offers a dynamic and collaborative work environment with a strong focus on innovation, creativity, and data-driven solutions. Candidates should be prepared to work in a fast-paced, Agile environment and collaborate effectively with cross-functional teams.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the senior level, requiring a deep understanding of cloud infrastructure, log management, and automation. Candidates should have over 5 years of experience in designing, deploying, and managing solutions in Microsoft Azure and relevant tools.

Reporting Structure: The Cloud DevOps Engineer reports directly to the Cloud Engineering Manager and works closely with software engineers, product managers, and other stakeholders to align with the software delivery lifecycle and DevOps best practices.

Technical Impact: The Cloud DevOps Engineer plays a critical role in designing, deploying, and managing cloud infrastructure and advanced log management platforms, ensuring that products and services meet business needs and user expectations. The role requires a strong focus on automation, optimization, and collaboration, with the ability to offer strategic recommendations to improve platform performance, security, and user experience.

Growth Opportunities:

Technical Specialization: Candidates can specialize in specific areas of cloud infrastructure, log management, or automation, becoming technical experts and driving innovation within the team.
Technical Leadership: With experience and demonstrated expertise, candidates can progress to technical leadership roles, guiding the team's technical direction and driving best practices across the organization.
Architecture Decision-Making: As candidates gain experience and expertise, they can take on more significant architecture decisions, shaping the team's technical direction and driving innovation in cloud infrastructure and log management.

📝 Enhancement Note: This role offers significant opportunities for growth and development, with a focus on technical specialization, technical leadership, and architecture decision-making. Candidates should be prepared to take on new challenges and drive innovation in cloud infrastructure and log management.

🌐 Work Environment

Office Type: The office is a modern, collaborative workspace designed to foster innovation, creativity, and cross-functional collaboration.

Office Location(s): The role is based in Brno, Czech Republic, with hybrid work arrangements available. The office is easily accessible by public transportation and offers on-site parking for employees.

Workspace Context:

The workspace is equipped with modern technology, including high-performance computers, multiple monitors, and testing devices, to support the team's work on cloud infrastructure and log management.
The team works in a collaborative environment, with regular stand-ups, sprint planning meetings, and code reviews to ensure effective communication and knowledge sharing.
The team follows Agile methodologies, with a focus on continuous improvement and innovation, driving a culture of experimentation and learning.

Work Schedule: The standard working hours for this role are 40 hours per week, with flexible arrangements available for deployment windows, maintenance, and project deadlines. The team follows a hybrid work arrangement, with employees working on-site and remotely as needed.

📝 Enhancement Note: The work environment at dentsu is designed to foster innovation, creativity, and cross-functional collaboration. Candidates should be prepared to work in a modern, collaborative workspace and leverage the latest technology to drive innovation in cloud infrastructure and log management.

📄 Application & Technical Interview Process

Interview Process:

Technical Assessment: Candidates will be asked to complete a technical assessment, demonstrating their expertise in cloud infrastructure, log management, and automation using relevant tools.
Technical Deep Dive: Candidates will be asked to discuss their experience with cloud infrastructure, log management, and automation, providing detailed examples of their problem-solving skills and ability to optimize platform performance.
Behavioral Interview: Candidates will be asked to discuss their experience working in a fast-paced, Agile environment and collaborating effectively with cross-functional teams.
Final Evaluation: Candidates will be evaluated based on their technical expertise, problem-solving skills, and ability to work effectively with cross-functional teams.

Portfolio Review Tips:

Highlight your experience with cloud infrastructure, log management, and automation using relevant tools.
Include detailed case studies demonstrating your ability to design, deploy, and manage cloud infrastructure and advanced log management platforms.
Showcase your ability to automate workflows and optimize platform performance, with a focus on automation, optimization, and collaboration.
Include examples of your problem-solving skills and ability to work effectively with cross-functional teams.

Technical Challenge Preparation:

Brush up on your knowledge of cloud infrastructure, log management, and automation using relevant tools.
Practice explaining complex technical concepts in a clear and concise manner, with a focus on automation, optimization, and collaboration.
Prepare for behavioral interview questions, focusing on your experience working in a fast-paced, Agile environment and collaborating effectively with cross-functional teams.

ATS Keywords: [Relevant keywords for cloud infrastructure, log management, and automation using Microsoft Azure and relevant tools]

📝 Enhancement Note: The interview process for this role is designed to evaluate candidates' technical expertise, problem-solving skills, and ability to work effectively with cross-functional teams. Candidates should be prepared to discuss their experience with cloud infrastructure, log management, and automation using relevant tools and provide detailed examples of their problem-solving skills and ability to optimize platform performance.

🛠 Technology Stack & Web Infrastructure

Cloud Infrastructure & Log Management:

Microsoft Azure: The primary cloud platform used for designing, deploying, and managing cloud infrastructure and advanced log management platforms.
Elastic Stack: A suite of open-source tools for searching, analyzing, and visualizing log data, used for managing and analyzing log data.
Cribl: A log management platform that helps organizations optimize their log data, ensuring that value is measured, tracked, and realized at key delivery points.
Azure DevOps: A cloud-based platform for managing the software development lifecycle, used for designing, developing, and enhancing CI/CD pipelines.
Terraform: An open-source infrastructure as code (IaC) software tool that allows developers to define and provision cloud infrastructure using a high-level, declarative configuration syntax.
Ansible: An open-source automation and configuration management tool that allows developers to automate the deployment and management of cloud infrastructure.
Azure Resource Manager (ARM) Templates: A declarative language used to define the infrastructure resources that need to be deployed and provisioned in Microsoft Azure.
PowerShell: A scripting language and shell used for task automation and configuration management in Microsoft Windows-based environments.

Container Technologies & Server Management:

Docker: An open-source platform that automates the deployment, scaling, and management of containerized applications.
Kubernetes: An open-source platform for automating deployment, scaling, and management of containerized applications, used for managing containerized applications in Microsoft Azure.
Azure Kubernetes Service (AKS): A managed Kubernetes service offered by Microsoft Azure, used for deploying and managing containerized applications at scale.
OpenShift: A Kubernetes-based platform for managing containerized applications, used for managing containerized applications in hybrid cloud environments.
Azure Functions: A serverless computing platform that enables developers to build, deploy, and manage event-driven applications without worrying about the infrastructure.
Event Grid: A fully-managed event routing service that connects data sources, such as Azure services, third-party services, and custom topics, with event handlers.

📝 Enhancement Note: The technology stack for this role is focused on cloud infrastructure, log management, and automation using Microsoft Azure and relevant tools. Candidates should have a strong background in cloud infrastructure, log management, and automation and be familiar with the tools and technologies listed above.

👥 Team Culture & Values

Cloud Engineering Values:

Innovation: Encourage experimentation and continuous learning to drive innovation in cloud infrastructure and log management.
Collaboration: Foster a culture of knowledge sharing and cross-functional collaboration to ensure that products and services meet business needs and user expectations.
Automation: Emphasize automation, optimization, and efficiency to streamline workflows and improve platform performance.
Security: Prioritize security and networking principles in a cloud-native Azure environment to ensure the protection of data and user privacy.
User-Centric: Focus on user experience and user-centric design to ensure that products and services meet business needs and user expectations.

Collaboration Style:

Agile Methodologies: The team follows Agile/Scrum methodologies, with a focus on sprint planning, code review, testing, and quality assurance practices.
Cross-Functional Collaboration: The team works closely with product managers, designers, and business stakeholders to ensure that products and services meet business needs and user expectations.
Code Review Culture: The team emphasizes code review culture and peer programming practices to ensure high-quality code and knowledge sharing.
Knowledge Sharing: The team encourages knowledge sharing, technical mentoring, and continuous learning to drive innovation and growth.

📝 Enhancement Note: The team culture at dentsu is focused on innovation, collaboration, automation, security, and user-centric design. Candidates should be prepared to work in a fast-paced, Agile environment and collaborate effectively with cross-functional teams to drive innovation in cloud infrastructure and log management.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Cloud Infrastructure Management: Design, deploy, and manage cloud infrastructure using Microsoft Azure, ensuring it is scalable, secure, and cost-effective.
Log Management: Leverage Elastic Stack and Cribl to manage and analyze log data, optimizing workflows and improving platform performance.
Automation & IaC: Develop and implement Infrastructure as Code (IaC) and configuration management using tools like Terraform, Ansible, or Azure Resource Manager (ARM) templates to automate infrastructure provisioning and ensure consistency.
CI/CD Pipeline Development: Design, develop, and enhance CI/CD pipelines using Azure DevOps to streamline software delivery and ensure high-quality releases.
Cross-Functional Collaboration: Work closely with software engineers, product managers, and other stakeholders to align with the software delivery lifecycle and DevOps best practices, ensuring that products and services meet business needs and user expectations.
Strategic Recommendations: Stay current with cloud computing trends and observability technologies, offering strategic recommendations to improve platform performance, security, and user experience.

Learning & Development Opportunities:

Technical Specialization: Candidates can specialize in specific areas of cloud infrastructure, log management, or automation, becoming technical experts and driving innovation within the team.
Technical Leadership: With experience and demonstrated expertise, candidates can progress to technical leadership roles, guiding the team's technical direction and driving best practices across the organization.
Architecture Decision-Making: As candidates gain experience and expertise, they can take on more significant architecture decisions, shaping the team's technical direction and driving innovation in cloud infrastructure and log management.

📝 Enhancement Note: This role offers significant opportunities for growth and development, with a focus on technical specialization, technical leadership, and architecture decision-making. Candidates should be prepared to take on new challenges and drive innovation in cloud infrastructure and log management.

💡 Interview Preparation

Technical Questions:

Cloud Infrastructure Management: Describe your experience designing, deploying, and managing cloud infrastructure using Microsoft Azure. How do you ensure that the infrastructure is scalable, secure, and cost-effective?
Log Management: Explain your experience with log management tools such as Elastic Stack and Cribl. How do you optimize workflows and improve platform performance using these tools?
Automation & IaC: Discuss your experience with Infrastructure as Code (IaC) and configuration management tools like Terraform, Ansible, or Azure Resource Manager (ARM) templates. How do you automate infrastructure provisioning and ensure consistency?
CI/CD Pipeline Development: Describe your experience designing, developing, and enhancing CI/CD pipelines using Azure DevOps. How do you streamline software delivery and ensure high-quality releases?
Cross-Functional Collaboration: Explain your experience working with cross-functional teams, including software engineers, product managers, and other stakeholders. How do you align with the software delivery lifecycle and DevOps best practices?
Strategic Recommendations: Discuss your experience staying current with cloud computing trends and observability technologies. How do you offer strategic recommendations to improve platform performance, security, and user experience?

Company & Culture Questions:

Company Culture: Explain what you understand about dentsu's company culture and how you think you would fit in. What aspects of the company culture appeal to you the most?
Team Dynamics: Describe your experience working in a fast-paced, Agile environment. How do you collaborate effectively with cross-functional teams, and how do you handle conflicts or disagreements?
Problem-Solving: Provide an example of a complex technical challenge you've faced and how you approached it. What was the outcome, and what did you learn from the experience?

Portfolio Presentation Strategy:

Cloud Infrastructure Management: Highlight your experience designing, deploying, and managing cloud infrastructure using Microsoft Azure. Include examples of your work optimizing infrastructure for scalability, security, and cost-effectiveness.
Log Management: Showcase your experience with log management tools such as Elastic Stack and Cribl. Include examples of your work optimizing workflows and improving platform performance using these tools.
Automation & IaC: Demonstrate your experience with Infrastructure as Code (IaC) and configuration management tools like Terraform, Ansible, or Azure Resource Manager (ARM) templates. Include examples of your work automating infrastructure provisioning and ensuring consistency.
CI/CD Pipeline Development: Present your experience designing, developing, and enhancing CI/CD pipelines using Azure DevOps. Include examples of your work streamlining software delivery and ensuring high-quality releases.
Cross-Functional Collaboration: Explain your experience working with cross-functional teams, including software engineers, product managers, and other stakeholders. Include examples of your work aligning with the software delivery lifecycle and DevOps best practices.
Strategic Recommendations: Discuss your experience staying current with cloud computing trends and observability technologies. Include examples of your work offering strategic recommendations to improve platform performance, security, and user experience.

📝 Enhancement Note: The interview process for this role is designed to evaluate candidates' technical expertise, problem-solving skills, and ability to work effectively with cross-functional teams. Candidates should be prepared to discuss their experience with cloud infrastructure, log management, and automation using relevant tools and provide detailed examples of their problem-solving skills and ability to optimize platform performance.

📌 Application Steps

To apply for this Cloud DevOps Engineer (Observability Platforms) position at dentsu:

Tailor Your Portfolio: Customize your portfolio to highlight your experience with cloud infrastructure, log management, and automation using relevant tools. Include detailed case studies demonstrating your ability to design, deploy, and manage cloud infrastructure and advanced log management platforms.
Optimize Your Resume: Update your resume to emphasize your experience with cloud infrastructure, log management, and automation using relevant tools. Include specific project highlights and technical skills relevant to this role.
Prepare for Technical Interview: Brush up on your knowledge of cloud infrastructure, log management, and automation using relevant tools. Practice explaining complex technical concepts in a clear and concise manner, with a focus on automation, optimization, and collaboration.
Research the Company: Familiarize yourself with dentsu's company culture, values, and mission. Prepare for behavioral interview questions, focusing on your experience working in a fast-paced, Agile environment and collaborating effectively with cross-functional teams.
Submit Your Application: Submit your application through the application link provided, including your tailored portfolio, optimized resume, and a cover letter highlighting your relevant experience and enthusiasm for the role.

⚠️ 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.

Cloud DevOps Engineer (Observability Platforms)