Senior Cloud Engineer IRC

Description

About Data & Technology Solutions: WPP's Data & Technology Solutions is the WPP’s unified global data products and technology team. We work with our agencies and clients to build data‑driven solutions and technology products to power marketing transformation. WPP Open is our AI platform for marketing, it connects marketing professionals, data, tools and AI in a single place. WPP Open is the simplest, safest and fastest way to realize the benefits of scaled AI — delivering better‑informed creative ideas faster, at scale and at lower cost.

We’re endlessly curious and our team of thinkers, builders, creators and problem‑solvers are over 2,000 strong, across 20 markets around the world.

We are seeking a Cloud Engineer with a passion for building robust, scalable, and secure cloud infrastructure. You’ll play a crucial role in designing, implementing, and optimizing the cloud environments that power our innovative data products and AI platforms, including WPP Open. If you thrive in a fast‑paced AdTech environment, enjoy solving complex technical challenges, and are eager to contribute to the future of marketing technology, we want to hear from you.

• A hands‑on problem solver who enjoys architecting and implementing cloud solutions from concept to production.
• Customer‑focused and collaborative, keen to understand the needs of developers, data scientists, and product teams.
• Committed to automation and operational excellence, always looking for ways to improve efficiency and reliability.
• Curious and adaptable, eager to learn new technologies and best practices in the rapidly evolving cloud and AdTech landscapes.
• Security‑aware, with a strong understanding of best practices for securing cloud environments and data.

• 3+ years of experience as a Cloud Engineer, Dev Ops Engineer, or similar role focusing on cloud infrastructure.
• Strong expertise with at least one major cloud provider (GCP, or Azure). Experience with GCP is highly preferred given our existing ecosystem.
• English fluency B2/C1.
• Proficiency with Infrastructure as Code (IaC) tools, particularly Terraform.
• Solid understanding of containerization technologies such as Docker and orchestration platforms like Kubernetes.
• Experience with CI/CD tools and methodologies (e.g., Git Lab CI, Jenkins, ArgoCD).
• Strong scripting skills in languages like Python, Bash.
• Familiarity with database technologies, both relational (e.g., PostgreSQL) and No
  
  SQL (e.g., Neo4j, DynamoDB, Big Query), and experience managing them in cloud environments.
• Understanding of cloud networking concepts (VPC, VPN, DNS, Load Balancers) and security best practices.
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack, Datadog, Cloud Watch, Stackdriver).
• Excellent problem‑solving skills and the ability to troubleshoot complex distributed systems.
• Strong communication and collaboration skills to work effectively with cross‑functional teams.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Cloud certifications (e.g., Google Professional Cloud Architect) are a significant plus.

• Design, deploy, and manage highly available, scalable, and secure cloud infrastructure on GCP platform to support our data products, AI platforms, and AdTech solutions.
• Utilize Infrastructure as Code (IaC) tools like Terraform or Cloud Formation to provision and manage cloud resources consistently and efficiently.
• Work closely with data scientists, software engineers, and product teams to understand requirements and translate them into robust cloud architectures.

• Develop and maintain CI/CD pipelines to automate the deployment, testing, and release processes for cloud‑native applications and infrastructure changes.
• Implement and manage monitoring, logging, and alerting solutions to ensure the health, performance, and security of our cloud environments.
• Identify and implement optimizations for cloud resource utilization, cost management, and operational efficiency.