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WPP

Platform Engineer

WPP is hiring a Platform Engineer in Copenhagen, Denmark. Level rates it ; you can apply on WPP.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • The posting mentions AWS, Google Cloud and cloud infrastructure among its tools and skills.
  • Level classes it as a mid-level role.
  • WPP has 211 other open roles on Level.

AI in this role

Designs, builds, and optimizes cloud infrastructure, CI/CD pipelines, and reliable platform solutions for high-throughput edge services.

AWSGoogle Cloud
cloud-infrastructureci-cdkubernetesterraform

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.

How we rate this

Platform Engineer at WPP rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Cloud InfrastructureCI/CDKubernetesTerraformAWSGoogle Cloud

Questions you could be asked

  1. Tell me about a project where cloud infrastructure was part of your work. What did you do?
  2. Tell me about a project where ci/cd was part of your work. What did you do?
  3. Tell me about a project where kubernetes was part of your work. What did you do?
  4. Tell me about a project where terraform was part of your work. What did you do?
  5. Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Cloud Infrastructure, CI/CD, Kubernetes, Terraform, and AWS. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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