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Über diese Platform Engineer Stelle bei WPP

WPP · Hybrid · Copenhagen

WPP is the trusted growth partner for the world’s leading brands. 

We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. 
 
We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise.
 
Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. 
 
For more information, visit WPP.com.
 

Platform Engineer

Level: Mid-Level Engineer, Technology Solutions
Location: Copenhagen
Reporting to: Lead Engineer

About Open Intelligence

We are the Activation arm of WPP Open Intelligence. Our team builds the foundational platform infrastructure and high-performance edge services that power WPP’s position in the market. With approximately one-third of global media spend flowing through WPP, our platform operates at the heart of a vast network and is deeply integrated with the largest supply-side partners in the AdTech industry.

Operating at this scale presents unique engineering challenges. Our edge services currently handle more than 60,000 requests per second. With operations across the US and UK, and ongoing expansion into EMEA and APAC, our infrastructure supports globally distributed services across our active markets. We are an engineering-led team focused on building robust, scalable, and highly reliable systems.

Who We Are Looking For

We are seeking a skilled Platform Engineer to design, build, evolve, and optimize our cloud infrastructure, CI/CD pipelines, and deployment processes. You will work closely with software engineers, QA, IT, and product teams to streamline development workflows, improve system reliability, and ensure our infrastructure is secure and scalable.

This is a hands-on technical role for someone who enjoys building reliable platform solutions and is keen to use modern development and testing technologies. You will partner with colleagues and stakeholders to ensure our platform meets evolving business needs.

What You Will Do

  • Design scalable, cloud-native systems on platforms such as Amazon Web Services or Google Cloud Platform to support high-throughput applications and services.
  • Implement Infrastructure as Code using HashiCorp Terraform.
  • Build secure, multi-account and cross-cloud environments.
  • Optimize cost efficiency for high-scale workloads and low-latency microservices.
  • Improve visibility into performance and cost metrics across environments and workloads.
  • Deploy and manage Kubernetes clusters for containerized applications and microservices.
  • Implement blue/green and canary deployment strategies.
  • Build robust automation using tools such as GitHub Actions, GitLab CI/CD, or Argo Workflows.
  • Automate testing, security scans, and compliance checks.
  • Support colleagues in making architectural choices about cloud services.
  • Promote a small, coherent, and flexible configuration surface to reduce deployment time and improve release confidence.
  • Champion DRY and DevOps principles through code reviews, documentation, and shared tooling.

What You Will Need

  • 5+ years of experience in Platform Engineering, Cloud Engineering, or Site Reliability Engineering (SRE) in enterprise-scale environments.
  • Strong hands-on experience with cloud platforms such as Amazon Web Services or Google Cloud Platform.
  • Proven expertise in Infrastructure as Code using HashiCorp tools or equivalent.
  • Deep experience containerizing and orchestrating applications using Docker and Kubernetes.
  • Strong experience building and maintaining CI/CD pipelines.
  • Solid scripting skills in Bash, Python, or similar, with an automation-first mindset.
  • Golang knowledge is a plus.
  • Experience implementing observability and monitoring solutions such as Datadog, Prometheus, or the Elastic Stack.
  • Strong understanding of networking concepts, including VPCs, load balancing, DNS, IAM, and security groups.
  • Experience supporting large-scale technology platforms, ideally in AdTech or marketing technology.
  • Knowledge of security principles, best practices, and compliance standards such as GDPR.
  • Experience supporting multi-region, globally distributed systems.
  • Strong collaboration and communication skills, with the ability to partner across engineering and product teams.
  • A proactive, ownership-driven mindset focused on reliability, scalability, and continuous improvement.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

Please read our Privacy Notice (https://www.wpp.com/en/careers/wpp-privacy-policy-for-recruitment) for more information on how we process the information you provide.

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Über WPP

At WPP, we believe in the power of collaboration and the impact of bold ideas. We champion creativity, providing a dynamic environment where you can contribute to groundbreaking work, develop your skills, and become part of a global community of passionate individuals. Explore a world of opportunities at WPP and discover a career that fuels your passion and empowers you to make a difference.


We use AI tools in our hiring process to enhance efficiency and improve the candidate experience, such as helping match candidates to roles or assist with scheduling. These tools support, but never replace, human decision-making. All final hiring decisions are made by people. We are committed to using AI ethically, ensuring fairness, minimizing bias, and protecting candidate data in line with privacy regulations. If you have questions about how AI is used in our recruitment process, please reach out to [email protected]. 

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