📍 Job Overview

• Job Title: Kafka DevOps Engineer (m/f)
• Company: ARHS Group - Part of Accenture
• Location: Luxembourg
• Job Type: Full-time
• Category: DevOps Engineer
• Date Posted: June 27, 2025
• Experience Level: 5-10 years
• Remote Status: On-site

🚀 Role Summary

• Key Responsibilities: Implement, maintain, and optimize Kafka infrastructure for high availability, scalability, and performance. Collaborate with development teams to support Kafka-based applications and ensure seamless data flow.
• Key Technologies: Apache Kafka, cloud environments (AWS, Azure, GCP), Kubernetes, Terraform, Ansible, Dynatrace, CI/CD tools (Jenkins, GitLab, ArgoCD), Kafka Connect, KSQL, Schema Registry, Zookeeper, event-driven architectures, stream processing (Flink, Spark, Kafka Streams), service mesh technologies (Istio, Linkerd).

📝 Enhancement Note: This role requires a strong focus on infrastructure management, automation, and collaboration with development teams to ensure efficient message streaming and data processing.

💻 Primary Responsibilities

• Infrastructure Management:

  • Deploy, configure, monitor, and maintain Kafka clusters in a high-availability production environment.
  • Tune Kafka configurations, partitions, replication, and producers/consumers for efficient message streaming.
  • Automate Kafka infrastructure deployment and management using tools like Terraform and Ansible.

• Performance Optimization:

  • Implement robust monitoring solutions (e.g., Dynatrace) and troubleshoot performance bottlenecks, latency issues, and failures.
  • Ensure secure data transmission, access control, and compliance with security best practices (SSL/TLS, RBAC, Kerberos).
  • Integrate Kafka with CI/CD pipelines and automate deployment processes to improve efficiency and reliability.

• Collaboration & Support:

  • Work closely with development teams to support Kafka-based applications and ensure seamless data flow.
  • Analyze workloads and plan for horizontal scaling, resource optimization, and failover strategies.
  • Provide training and technical support to end users and other stakeholders.

📝 Enhancement Note: The primary responsibilities emphasize the importance of infrastructure management, performance optimization, and collaboration with development teams to ensure efficient Kafka-based data processing and streaming.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field. Relevant certifications (e.g., Kafka, Kubernetes, cloud platforms) are a plus.

Experience: 5+ years of experience in DevOps, Site Reliability Engineering (SRE), or Kafka administration.

Required Skills:

• Strong hands-on experience with Apache Kafka (setup, tuning, and troubleshooting)
• Proficiency in scripting (Python, Bash) and automation tools (Terraform, Ansible)
• Experience with cloud environments (AWS, Azure, or GCP) and Kubernetes-based Kafka deployments
• Familiarity with Kafka Connect, KSQL, Schema Registry, Zookeeper, logging, and monitoring tools (Dynatrace, ELK, Splunk)
• Knowledge of networking, security, and access control for Kafka clusters
• Experience with CI/CD tools (Jenkins, GitLab, ArgoCD)
• Ability to analyze logs, debug issues, and propose proactive improvements
• ITIL qualification is an asset

Preferred Skills:

• Experience with Confluent Kafka or other managed Kafka solutions
• Knowledge of event-driven architectures and stream processing (Flink, Spark, Kafka Streams)
• Experience with service mesh technologies (Istio, Linkerd) for Kafka networking
• Certifications in Kafka, Kubernetes, or cloud platforms

Language Skills: Fluency in English (written and spoken) is required.

📝 Enhancement Note: The required and preferred skills highlight the importance of Kafka-specific expertise, cloud and infrastructure management, automation, and collaboration with development teams for efficient data processing and streaming.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

• Demonstrate successful Kafka deployments, configurations, and performance optimizations.
• Showcase experience with cloud environments, Kubernetes, and CI/CD pipelines.
• Highlight problem-solving skills and ability to troubleshoot performance issues.
• Display knowledge of security best practices and access control for Kafka clusters.

Technical Documentation:

• Provide detailed documentation of Kafka infrastructure, including configurations, deployment processes, and monitoring strategies.
• Include case studies or examples of performance optimizations and troubleshooting efforts.
• Showcase understanding of event-driven architectures and stream processing techniques.

📝 Enhancement Note: The portfolio and project requirements emphasize the need to demonstrate Kafka-specific expertise, infrastructure management, performance optimization, and collaboration with development teams to ensure efficient data processing and streaming.

💵 Compensation & Benefits

Salary Range: €60,000 - €80,000 per year, depending on experience and qualifications. This estimate is based on market research for DevOps roles in Luxembourg with a focus on Kafka and cloud environments.

Benefits:

• Attractive salary package, including advantageous fringe benefits.
• Learning and development opportunities to support individual growth and career progression.
• Dynamic team environment with a strong corporate culture focused on collaboration and innovation.
• Exciting projects for both public and private clients, calling for creativity and innovation at the cutting-edge of technology.
• Sustainable and growth-oriented company with over 2,500 employees and 11 entities worldwide.

Working Hours: Full-time position with standard working hours (Monday to Friday, 8:00 AM to 5:00 PM) and flexibility for deployment windows, maintenance, and project deadlines.

📝 Enhancement Note: The salary range is estimated based on market research for DevOps roles in Luxembourg with a focus on Kafka and cloud environments. The benefits highlight the company's commitment to employee development, collaboration, and innovation.

🎯 Team & Company Context

Company Culture:

• ARHS Group is a market leader in the management of complex IT projects and systems, founded in Luxembourg in 2003.
• The company values caring, agility, excellence, innovation, continual improvement, and reliability, supporting its vision of being the most caring and reliable IT company on the market for both clients and employees.
• ARHS Group offers bespoke software development, data science, infrastructure, digital trust, and mobile development services to government institutions, telecom providers, and financial institutions.

Team Structure:

• The team consists of talented, motivated, and ambitious professionals working in close partnership with clients to turn their needs into benefits.
• The open, flat structure supports strong communication and collaboration, enabling quick responses to market changes and customer requests.
• The team promotes a dynamic local environment where both young and experienced people can realize their potential.

Development Methodology:

• ARHS Group leverages a flexible, independent, and responsive organization to promote agility and adaptability.
• The company focuses on getting things done, with a strong emphasis on superior execution and exceptional services.
• ARHS Group values working hard and playing hard, with a bold company culture that supports employee empowerment and growth.

Company Website: ARHS Group

📝 Enhancement Note: The company culture, team structure, and development methodology highlight ARHS Group's commitment to collaboration, innovation, and employee empowerment, providing a supportive environment for Kafka DevOps Engineers to thrive.

📈 Career & Growth Analysis

Web Technology Career Level: Mid-Senior level role with a focus on infrastructure management, performance optimization, and collaboration with development teams to ensure efficient Kafka-based data processing and streaming.

Reporting Structure: The Kafka DevOps Engineer will report directly to the IT Infrastructure Manager and work closely with development teams, data scientists, and other stakeholders to ensure seamless data flow and efficient message streaming.

Technical Impact: The role has a significant impact on the performance, scalability, and reliability of Kafka-based data processing and streaming, directly influencing user experience and business outcomes.

Growth Opportunities:

• Technical Growth: Expand Kafka-specific expertise, explore event-driven architectures, stream processing, and service mesh technologies to enhance data processing and streaming capabilities.
• Leadership Development: Develop technical leadership skills by mentoring junior team members, contributing to architectural decisions, and driving best practices for Kafka-based data processing and streaming.
• Career Progression: Progress to senior DevOps roles, IT architecture positions, or technical leadership roles within ARHS Group or other organizations.

📝 Enhancement Note: The career and growth analysis highlights the potential for technical growth, leadership development, and career progression within ARHS Group or other organizations for Kafka DevOps Engineers with strong infrastructure management, performance optimization, and collaboration skills.

🌐 Work Environment

Office Type: Modern, collaborative workspace with a focus on communication and teamwork, supporting ARHS Group's flat and agile structure.

Office Location(s): Luxembourg, with potential for remote work or hybrid arrangements depending on the specific role and team dynamics.

Workspace Context:

• Collaboration: The workspace encourages close collaboration between team members, fostering a dynamic and innovative environment.
• Tools & Equipment: ARHS Group provides development teams with the necessary tools, multiple monitors, and testing devices to ensure efficient work and high-quality output.
• Interaction: The workspace facilitates interaction with other teams, including designers, marketers, and stakeholders, promoting cross-functional collaboration and knowledge sharing.

Work Schedule: Full-time position with standard working hours (Monday to Friday, 8:00 AM to 5:00 PM) and flexibility for deployment windows, maintenance, and project deadlines.

📝 Enhancement Note: The work environment highlights ARHS Group's commitment to collaboration, innovation, and employee empowerment, providing a supportive workspace for Kafka DevOps Engineers to thrive.

📄 Application & Technical Interview Process

Interview Process:

1. Technical Assessment: A hands-on technical assessment focused on Kafka infrastructure management, performance optimization, and problem-solving skills. Candidates should expect to configure Kafka clusters, tune performance, and troubleshoot issues in a simulated production environment.
2. Architecture Discussion: A discussion on Kafka architecture, event-driven architectures, and stream processing techniques. Candidates should be prepared to discuss trade-offs, design decisions, and best practices for Kafka-based data processing and streaming.
3. Behavioral & Cultural Fit: An assessment of the candidate's cultural fit with ARHS Group, focusing on collaboration, innovation, and adaptability. Candidates should be prepared to discuss their approach to problem-solving, teamwork, and continuous learning.
4. Final Evaluation: A final evaluation based on the candidate's technical skills, cultural fit, and potential for growth within ARHS Group.

Portfolio Review Tips:

• Highlight successful Kafka deployments, configurations, and performance optimizations.
• Include case studies or examples of problem-solving, performance optimization, and collaboration with development teams.
• Showcase understanding of event-driven architectures, stream processing, and service mesh technologies.
• Tailor the portfolio to ARHS Group's focus on collaboration, innovation, and employee empowerment.

Technical Challenge Preparation:

• Brush up on Kafka fundamentals, including setup, tuning, and troubleshooting.
• Familiarize yourself with cloud environments, Kubernetes, and CI/CD pipelines.
• Practice problem-solving and performance optimization exercises to enhance your technical skills and confidence.

ATS Keywords:

• Apache Kafka, cloud environments (AWS, Azure, GCP), Kubernetes, Terraform, Ansible, Dynatrace, CI/CD tools (Jenkins, GitLab, ArgoCD), Kafka Connect, KSQL, Schema Registry, Zookeeper, event-driven architectures, stream processing (Flink, Spark, Kafka Streams), service mesh technologies (Istio, Linkerd), ITIL, Agile methodologies, collaboration, innovation, performance optimization, problem-solving.

📝 Enhancement Note: The interview process, portfolio review tips, and technical challenge preparation emphasize the importance of Kafka-specific expertise, infrastructure management, performance optimization, and collaboration with development teams to ensure efficient data processing and streaming.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: N/A (This role focuses on backend and infrastructure technologies)

Backend & Server Technologies:

• Apache Kafka: Core messaging platform for data streaming and processing.
• Cloud Environments (AWS, Azure, GCP): Infrastructure-as-code (IaC) tools like Terraform and Ansible for automated deployment and management.
• Kubernetes: Container orchestration platform for automated scaling, load balancing, and service discovery.
• CI/CD Tools (Jenkins, GitLab, ArgoCD): Automation of the software delivery process, including build, test, and deployment stages.
• Kafka Connect: Tool for integrating Kafka with external systems, such as databases and APIs.
• KSQL: Streaming SQL engine for processing and analyzing data in real-time.
• Schema Registry: Central metadata repository for Kafka schemas, enabling seamless data exchange between producers and consumers.
• Zookeeper: Configuration management and naming service for distributed systems like Apache Kafka.
• Dynatrace: Application performance monitoring (APM) and digital experience monitoring (DEM) platform for troubleshooting performance bottlenecks and ensuring high availability.

Development & DevOps Tools:

• Version Control Systems (Git, SVN): Tools for tracking changes in source code and facilitating collaboration among development teams.
• Infrastructure-as-Code (IaC) Tools (Terraform, Ansible): Automation of infrastructure provisioning, configuration, and management.
• Containerization (Docker, Kubernetes): Packaging and running applications in isolated environments for improved portability and scalability.
• CI/CD Pipelines (Jenkins, GitLab, ArgoCD): Automation of the software delivery process, including build, test, and deployment stages.
• Monitoring Tools (Dynatrace, ELK, Splunk): Platforms for collecting, analyzing, and visualizing application performance and infrastructure metrics.

📝 Enhancement Note: The technology stack highlights the importance of Apache Kafka, cloud environments, Kubernetes, CI/CD tools, and monitoring platforms for efficient data processing and streaming in a high-availability production environment.

👥 Team Culture & Values

Web Development Values:

• Caring: ARHS Group prioritizes the well-being and growth of its employees, fostering a supportive and inclusive work environment.
• Agility: The company values adaptability, responsiveness, and continuous learning to stay ahead in the ever-evolving IT landscape.
• Excellence: ARHS Group strives for superior execution and exceptional services, ensuring high-quality output and customer satisfaction.
• Innovation: The company encourages creativity, experimentation, and continuous improvement to drive business growth and competitive advantage.
• Continual Improvement: ARHS Group is committed to ongoing learning, development, and process optimization to enhance employee skills and organizational performance.
• Reliability: The company focuses on delivering consistent, high-quality results and maintaining strong, long-term client relationships.

Collaboration Style:

• Cross-Functional Integration: ARHS Group promotes close collaboration between development teams, designers, marketers, and stakeholders to ensure seamless project execution and user-centric outcomes.
• Code Review Culture: The company values peer review, pair programming, and collective code ownership to maintain high coding standards and knowledge sharing.
• Knowledge Sharing: ARHS Group encourages employees to share their expertise, mentor junior team members, and contribute to the company's collective intelligence.

📝 Enhancement Note: The web development values and collaboration style highlight ARHS Group's commitment to caring, agility, excellence, innovation, continual improvement, and reliability, providing a supportive environment for Kafka DevOps Engineers to thrive.

⚡ Challenges & Growth Opportunities

Technical Challenges:

• High-Availability Kafka Clusters: Design and implement highly available Kafka clusters with automated failover, replication, and scaling strategies.
• Performance Optimization: Tune Kafka configurations, partitions, producers, and consumers to ensure efficient message streaming and minimize latency.
• Cloud Migration & Automation: Migrate existing Kafka infrastructure to cloud environments and automate deployment, configuration, and management processes using tools like Terraform and Ansible.
• Security & Compliance: Implement robust security measures, including access control, encryption, and compliance with industry standards (e.g., GDPR, HIPAA) for Kafka-based data processing and streaming.
• Event-Driven Architectures: Design and implement event-driven architectures, leveraging Kafka, stream processing, and service mesh technologies for efficient data processing and streaming.

Learning & Development Opportunities:

• Technical Skill Development: Expand Kafka-specific expertise, explore event-driven architectures, stream processing, and service mesh technologies to enhance data processing and streaming capabilities.
• Conference Attendance & Certification: Attend industry conferences, obtain relevant certifications (e.g., Kafka, Kubernetes, cloud platforms), and engage with online communities to stay up-to-date with the latest trends and best practices.
• Mentorship & Leadership Development: Mentor junior team members, contribute to architectural decisions, and drive best practices for Kafka-based data processing and streaming to develop technical leadership skills.

📝 Enhancement Note: The technical challenges and learning & development opportunities emphasize the importance of Kafka-specific expertise, infrastructure management, performance optimization, and collaboration with development teams to ensure efficient data processing and streaming.

💡 Interview Preparation

Technical Questions:

• Kafka Fundamentals: Describe the Kafka architecture, its components (Kafka, Zookeeper, Kafka Connect, KSQL, Schema Registry), and their roles in data streaming and processing.
• Performance Optimization: Explain the factors affecting Kafka performance, including message size, batching, compression, and network configuration, and provide strategies for optimizing message streaming and minimizing latency.
• Problem-Solving: Present a real-world scenario involving a Kafka performance issue, and outline your approach to diagnosing, troubleshooting, and resolving the problem.

Company & Culture Questions:

• ARHS Group Culture: Describe what you understand about ARHS Group's culture, values, and work environment, and how your personal values align with the company's mission and objectives.
• Agile Methodologies: Explain your experience with Agile methodologies, and discuss how you've applied them to improve collaboration, efficiency, and customer satisfaction in previous roles.
• User Experience Impact: Describe how you've ensured seamless user experience and high-quality output in previous projects, and how you plan to apply these principles to ARHS Group's Kafka-based data processing and streaming initiatives.

Portfolio Presentation Strategy:

• Live Demonstration: Present a live demonstration of a successful Kafka deployment, configuration, or performance optimization project, highlighting your technical expertise and problem-solving skills.
• Code Walkthrough: Provide a detailed walkthrough of your code, explaining your design decisions, performance optimizations, and collaboration with development teams to ensure efficient data processing and streaming.
• Architecture Decision Reasoning: Discuss the architectural decisions you've made in previous projects, and how they've contributed to the overall success and scalability of the systems you've worked on.

📝 Enhancement Note: The interview preparation emphasizes the importance of Kafka-specific expertise, infrastructure management, performance optimization, and collaboration with development teams to ensure efficient data processing and streaming.

📌 Application Steps

To apply for this Kafka DevOps Engineer (m/f) position at ARHS Group - Part of Accenture:

1. Customize Your Portfolio: Tailor your portfolio to highlight successful Kafka deployments, configurations, performance optimizations, and collaboration with development teams to ensure efficient data processing and streaming.
2. Optimize Your Resume: Emphasize your Kafka-specific expertise, infrastructure management, performance optimization, and collaboration skills in your resume to showcase your fit for the role.
3. Prepare for Technical Challenges: Brush up on Kafka fundamentals, cloud environments, Kubernetes, CI/CD pipelines, and problem-solving exercises to enhance your technical skills and confidence.
4. Research ARHS Group: Familiarize yourself with ARHS Group's culture, values, and work environment to ensure a strong fit and demonstrate your 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.