Cloud Platform / Production Engineer

Senior Platform & Reliability Production Engineer - Audience Measurement

Make Your Mark at Ipsos. Ipsos CrossMedia is at a pivotal and exciting stage of growth, and we are looking for a motivated Production Engineer to join our innovative Data Science and Engineering teams. This is a fantastic opportunity to work on both high-profile, established projects for blue-chip clients and to contribute to brand-new, greenfield initiatives.

Key Responsibilities

• Build and manage cloud infrastructure on Google Cloud Platform (GCP) and AWS, including Kubernetes clusters, cloud storage, and identity and access management.
• Design, write and deploy code to manage our infrastructure using Terraform or Pulumi, applying Infrastructure as Code principles.
• Own and maintain CI/CD pipelines with GitHub Actions or Azure DevOps to automate building, testing and deployment of applications and data workflows.
• Create, maintain and monitor data ingestion and delivery pipelines using Argo Workflows, ensuring reliable flow to clients and internal teams.
• Monitor system health and performance, perform root cause analysis, implement fixes, and support level-2 technical incidents, contributing to a blameless post-mortem culture.
• Propose and implement platform improvements, from configuration management to system architecture, driving continuous improvement.
• Collaborate with Data Scientists, Software Engineers, and Product Owners to build scalable, reliable, and secure solutions.
• Participate in a shared rotation of out-of-hours on-call duties, ensuring minimal impact on service availability.

Desired Qualifications

• Professional experience with a major cloud provider (primarily GCP and AWS).
• Knowledge of IaC principles and agents such as Terraform, Pulumi or Ansible.
• Experience with CI/CD workflows.
• Working knowledge of SQL and relational or data warehouse databases.
• Proficiency in a scripting language, e.g., Python or Bash, and familiarity with Unix/Linux command line utilities.
• Familiarity with data pipelines and tools such as Argo Workflows.

Desirable Skills

• Experience with Docker and Kubernetes.
• Proficiency with Git and collaborative code-review processes.
• Experience with Windows IIS.
• Knowledge of NoSQL databases such as MongoDB or DynamoDB.
• Experience with Agile and project tracking tools like Jira or Azure DevOps.
• Understanding of networking concepts (TCP/IP, DNS, HTTP).
• A good awareness and interest in cloud security and privacy best practices.

Benefits

Our comprehensive benefits package includes 25 days annual leave, pension contribution, income protection and life assurance, as well as health and wellbeing, financial benefits and professional development opportunities.

We support flexible working arrangements and encourage applications from candidates who need a hybrid setup or accommodation.

Equal Opportunity

We are committed to equality, fairness, a positive and inclusive working environment, and diversity of people and views. We are proud to be a member of the Disability Confident scheme, certified as Level 2 Disability Confident Employer, and we provide an inclusive and accessible recruitment process.

Make Your Mark at Ipsos. Ipsos CrossMedia is at a pivotal and exciting stage of growth, and we are looking for a motivated Production Engineer to join our innovative Data Science and Engineering teams. This is a fantastic opportunity to work on both high-profile, established projects for blue-chip clients and to contribute to brand-new, greenfield initiatives., * Professional experience with a major cloud provider (primarily GCP and AWS).

• Knowledge of IaC principles and agents such as Terraform, Pulumi or Ansible.
• Experience with CI/CD workflows.
• Working knowledge of SQL and relational or data warehouse databases.
• Proficiency in a scripting language, e.g., Python or Bash, and familiarity with Unix/Linux command line utilities.
• Familiarity with data pipelines and tools such as Argo Workflows.

Desirable Skills

• Experience with Docker and Kubernetes.
• Proficiency with Git and collaborative code-review processes.
• Experience with Windows IIS.
• Knowledge of NoSQL databases such as MongoDB or DynamoDB.
• Experience with Agile and project tracking tools like Jira or Azure DevOps.
• Understanding of networking concepts (TCP/IP, DNS, HTTP).
• A good awareness and interest in cloud security and privacy best practices.

Our comprehensive benefits package includes 25 days annual leave, pension contribution, income protection and life assurance, as well as health and wellbeing, financial benefits and professional development opportunities.