📍 Job Overview

Job Title: Cloud Engineer
Company: NielsenIQ
Location: Madrid, Spain
Job Type: Full-time
Category: DevOps, Infrastructure
Date Posted: June 13, 2025
Experience Level: 5-10 years
Remote Status: Hybrid (2 days per month at the office)

🚀 Role Summary

Design and maintain scalable, resilient platforms empowering other engineering teams.
Collaborate closely with Application Development and SRE teams to deliver effective solutions.
Deepen expertise in core platform technologies like Kubernetes, Helm, Kustomize, GitHub, Terraform, and GitOps tools.
Ensure seamless deployment and operation of platforms by working hand-in-hand with development teams.
Proactively monitor, analyze, and optimize system performance and security.

📝 Enhancement Note: This role requires a strong focus on platform architecture, collaboration, and continuous improvement, making it an excellent fit for experienced DevOps engineers looking to expand their impact on web infrastructure.

💻 Primary Responsibilities

Platform Design & Architecture: Design and architect scalable, resilient platforms to support various engineering teams.
Collaboration & Integration: Work closely with Application Development and SRE teams to ensure platforms meet their needs and integrate seamlessly with existing systems.
Platform Deployment & Maintenance: Ensure platforms are deployed and operated smoothly, working hand-in-hand with development teams.
Performance Monitoring & Optimization: Proactively monitor, analyze, and optimize system performance and security using tools like Datadog and OpenTelemetry.
Documentation & Knowledge Sharing: Create and maintain comprehensive documentation for all platforms and frameworks, fostering a culture of knowledge sharing.

📝 Enhancement Note: This role emphasizes platform design, collaboration, and performance optimization, making it ideal for experienced DevOps engineers seeking to apply their skills in a cross-functional environment.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical work experience.

Experience: 5+ years in software development or DevOps, with at least 2 years in platform engineering.

Required Skills:

Strong hands-on experience with Kubernetes, Helm, Kustomize, GitHub, Terraform, and GitOps tooling (e.g., Argo CD).
Proven experience with Docker and Kubernetes.
Familiarity with monitoring and observability tools like Datadog, Coralogix, or OpenTelemetry.
Exposure to multiple cloud platforms (GCP, Azure, AWS).
Proficiency in scripting languages like Go, Python, Bash, or JavaScript.
Excellent communication skills, both verbal and written.
Team-oriented mindset with the ability to work effectively both collaboratively and independently.
Strong attention to detail and ability to prioritize tasks in a fast-paced environment.
Familiarity with testing frameworks.

Preferred Skills:

Experience with CAST AI.
Knowledge of multiple programming languages.

📝 Enhancement Note: This role requires a strong foundation in platform engineering, cloud technologies, and scripting languages, with a preference for candidates with experience in multiple programming languages and emerging tools like CAST AI.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate a strong understanding of platform architecture, design, and deployment with relevant projects.
Showcase experience with Kubernetes, Helm, Kustomize, GitHub, Terraform, and GitOps tooling through live examples or case studies.
Highlight proficiency in scripting languages and monitoring tools through code samples or project documentation.

Technical Documentation:

Provide comprehensive documentation for platforms and frameworks, demonstrating a commitment to knowledge sharing and best practices.
Include examples of performance optimization, security, and scalability considerations in project documentation.

📝 Enhancement Note: As this role focuses on platform engineering and cross-functional collaboration, candidates should emphasize their experience with platform architecture, deployment, and maintenance in their portfolio, along with relevant documentation and case studies.

💵 Compensation & Benefits

Salary Range: €45,000 - €60,000 per year (Estimated based on market research for Madrid, Spain)

Benefits:

Flexible working environment.
Volunteer time off.
LinkedIn Learning.
Employee-Assistance-Program (EAP).

Working Hours: 40 hours per week, with 2 days per month at the office in Madrid or Valladolid.

📝 Enhancement Note: The estimated salary range is based on market research for Madrid, Spain, considering the experience level and role requirements. Benefits include a flexible working environment, professional development opportunities, and employee support programs.

🎯 Team & Company Context

Company Culture:

NielsenIQ is a global consumer intelligence company delivering the most complete understanding of consumer buying behavior.
The Enterprise Platform Engineering team ensures corporate technologies are best-in-class for over 30,000 global employees.
The team values collaboration, continuous learning, and a flexible working environment.

Team Structure:

The team consists of highly skilled platform engineers, working closely with Application Development and SRE teams.
The reporting structure is flat, fostering a collaborative and agile environment.

Development Methodology:

The team follows Agile methodologies, with a focus on continuous integration, deployment, and improvement.
They use tools like GitHub, Terraform, Argo CD, and Datadog to streamline development processes and monitor performance.

Company Website: NielsenIQ

📝 Enhancement Note: NielsenIQ values collaboration, continuous learning, and a flexible working environment, making it an attractive choice for experienced DevOps engineers seeking to grow their skills in a global organization.

📈 Career & Growth Analysis

Web Technology Career Level: Senior DevOps Engineer / Platform Engineer

Reporting Structure: The Cloud Engineer will report directly to the Senior Manager of Enterprise Platform Engineering, working closely with Application Development and SRE teams.

Technical Impact: This role has a significant impact on the stability, scalability, and performance of NielsenIQ's web infrastructure, enabling other engineering teams to deploy and run their services effectively.

Growth Opportunities:

Technical Leadership: As the team continues to grow, there will be opportunities for the Cloud Engineer to mentor junior team members and take on more technical leadership responsibilities.
Architecture Decisions: The Cloud Engineer will have the opportunity to influence architecture decisions, shaping the future of NielsenIQ's web infrastructure.
Emerging Technologies: NielsenIQ encourages its engineers to stay up-to-date with emerging technologies, providing opportunities for professional development and growth.

📝 Enhancement Note: This role offers significant growth opportunities for experienced DevOps engineers, including technical leadership, architecture decision-making, and exposure to emerging technologies.

🌐 Work Environment

Office Type: Hybrid (2 days per month at the office in Madrid or Valladolid)

Office Location(s):

Madrid, Spain
Valladolid, Spain

Workspace Context:

The Madrid and Valladolid offices provide collaborative workspaces with multiple monitors and testing devices available.
The team encourages knowledge sharing, technical mentoring, and continuous learning.

Work Schedule: 40 hours per week, with flexible hours and remote work options.

📝 Enhancement Note: NielsenIQ's hybrid work environment fosters collaboration and flexibility, allowing DevOps engineers to balance their work and personal lives effectively.

📄 Application & Technical Interview Process

Interview Process:

Technical Assessment: A hands-on technical assessment focusing on platform engineering, cloud technologies, and scripting languages.
Behavioral & Cultural Fit: An interview focused on assessing communication skills, team fit, and cultural alignment.
Final Evaluation: A final interview with the hiring manager to discuss the candidate's fit for the role and the team.

Portfolio Review Tips:

Highlight platform architecture, design, and deployment projects that demonstrate your expertise in Kubernetes, Helm, Kustomize, GitHub, Terraform, and GitOps tooling.
Include examples of performance optimization, security, and scalability considerations in your portfolio.
Showcase your ability to collaborate effectively with other teams and adapt to changing requirements.

Technical Challenge Preparation:

Brush up on your knowledge of Kubernetes, Helm, Kustomize, GitHub, Terraform, and GitOps tooling.
Familiarize yourself with monitoring and observability tools like Datadog and OpenTelemetry.
Prepare for questions about platform architecture, design, deployment, and maintenance.

ATS Keywords: [Provided in the following section]

📝 Enhancement Note: NielsenIQ's interview process focuses on technical assessment, behavioral fit, and cultural alignment, with a strong emphasis on platform engineering and collaboration skills.

🛠 Technology Stack & Web Infrastructure

Platform Technologies:

Kubernetes
Helm
Kustomize
GitHub
Terraform
Argo CD
Datadog
OpenTelemetry
CAST AI (preferred)

Cloud Platforms:

GCP
Azure
AWS

Scripting Languages:

Go
Python
Bash
JavaScript

📝 Enhancement Note: NielsenIQ's technology stack focuses on platform engineering, cloud technologies, and scripting languages, with a preference for candidates experienced in multiple programming languages and emerging tools like CAST AI.

👥 Team Culture & Values

Platform Engineering Values:

Collaboration: Work closely with other teams to ensure platforms meet their needs and integrate seamlessly with existing systems.
Continuous Improvement: Proactively monitor, analyze, and optimize system performance and security.
Documentation & Knowledge Sharing: Create and maintain comprehensive documentation for all platforms and frameworks, fostering a culture of learning and growth.
Resilience & Scalability: Design and architect platforms that are scalable, resilient, and capable of handling changing demands.

Collaboration Style:

The team follows Agile methodologies, with a focus on cross-functional collaboration, code reviews, and peer programming.
They encourage knowledge sharing, technical mentoring, and continuous learning.

📝 Enhancement Note: NielsenIQ's platform engineering team values collaboration, continuous improvement, documentation, and resilience, fostering a culture of learning and growth for DevOps engineers.

🌐 Challenges & Growth Opportunities

Technical Challenges:

Platform Scalability: Design and maintain platforms that can scale to meet the demands of a growing global organization.
Cross-Functional Collaboration: Work effectively with Application Development and SRE teams to ensure platforms meet their needs and integrate seamlessly with existing systems.
Performance Optimization: Proactively monitor, analyze, and optimize system performance and security using tools like Datadog and OpenTelemetry.

Learning & Development Opportunities:

Technical Skill Development: Deepen expertise in platform engineering, cloud technologies, and scripting languages through hands-on projects and professional development opportunities.
Emerging Technologies: Stay up-to-date with emerging technologies and tools, such as CAST AI, to expand your skillset and contribute to NielsenIQ's technological growth.

📝 Enhancement Note: NielsenIQ's platform engineering team faces technical challenges related to platform scalability, cross-functional collaboration, and performance optimization, offering ample opportunities for learning and growth.

💡 Interview Preparation

Technical Questions:

Platform Architecture: Discuss your approach to designing and architecting scalable, resilient platforms.
Cloud Technologies: Demonstrate your expertise in cloud platforms like GCP, Azure, and AWS.
Scripting Languages: Showcase your proficiency in scripting languages like Go, Python, Bash, or JavaScript.
Monitoring & Observability: Explain your experience with monitoring and observability tools like Datadog and OpenTelemetry.

Company & Culture Questions:

Collaboration: Describe your experience working with cross-functional teams and how you ensure platforms meet their needs.
Continuous Improvement: Discuss your approach to proactively monitoring, analyzing, and optimizing system performance and security.
Documentation & Knowledge Sharing: Explain how you create and maintain comprehensive documentation for platforms and frameworks, fostering a culture of learning and growth.

Portfolio Presentation Strategy:

Platform Architecture: Highlight your experience with platform architecture, design, and deployment through live examples or case studies.
Cloud Technologies: Demonstrate your expertise in cloud platforms like GCP, Azure, and AWS through relevant projects or case studies.
Scripting Languages: Showcase your proficiency in scripting languages through code samples or project documentation.
Monitoring & Observability: Include examples of performance optimization, security, and scalability considerations in your portfolio.

📝 Enhancement Note: NielsenIQ's interview process focuses on technical assessment, behavioral fit, and cultural alignment, with a strong emphasis on platform engineering and collaboration skills.

🛠 ATS Keywords

Programming Languages:

Go
Python
Bash
JavaScript

Web Frameworks & Libraries:

Kubernetes
Helm
Kustomize
GitHub
Terraform
Argo CD
Datadog
OpenTelemetry
CAST AI

Server Technologies:

GCP
Azure
AWS

Databases:

PostgreSQL
MySQL
MongoDB

Tools:

Docker
Jenkins
CI/CD Pipelines
Infrastructure as Code (IaC)

Methodologies:

Agile
Scrum
Kanban
DevOps
Infrastructure as Code (IaC)

Soft Skills:

Communication
Teamwork
Collaboration
Problem-solving
Adaptability

Industry Terms:

Platform Engineering
Cloud Engineering
DevOps
Infrastructure as Code (IaC)
Continuous Integration (CI)
Continuous Deployment (CD)
Continuous Delivery (CD)
Infrastructure as Code (IaC)
Infrastructure Management
Containerization
Orchestration
Microservices
Serverless Architecture
Monitoring
Observability
Performance Optimization
Scalability
Resilience

📌 Application Steps

To apply for this Cloud Engineer position at NielsenIQ:

Customize Your Portfolio: Highlight your experience with platform architecture, design, and deployment, as well as your proficiency in cloud technologies, scripting languages, and monitoring tools.
Optimize Your Resume: Emphasize your relevant experience and skills, tailoring your resume to the role's requirements and ATS keywords.
Prepare for Technical Assessment: Brush up on your knowledge of Kubernetes, Helm, Kustomize, GitHub, Terraform, and GitOps tooling, as well as monitoring and observability tools like Datadog and OpenTelemetry.
Research NielsenIQ: Familiarize yourself with NielsenIQ's consumer intelligence mission, platform engineering team, and company culture to ensure a strong fit and effective interview preparation.

⚠️ 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 Engineer