Cloud Platform​/Production Engineer

Cloud Platform & Reliability Production Engineer – Audience Measurement Make Your Mark at Ipsos

Ipsos Cross Media is at a pivotal and exciting stage of growth, and we are looking for a motivated Cloud Platform / 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.

This is a fantastic opportunity for a mid-career person to enhance their career and develop key skills. You will get the opportunity to:

• Build and Manage Cloud Infrastructure:
  You will own the management of our production and development infrastructure on Google Cloud Platform (GCP) and AWS. This includes our Kubernetes clusters, cloud storage, and identity and access management.
• Master Infrastructure as Code (IaC):
  You will design, write, and deploy code to manage our infrastructure using modern IaC tools like Terraform or Pulumi. This is a chance to build your skills in creating repeatable and robust systems.
• Automate Everything:
  You will be responsible for our CI/CD pipelines, using tools like Git Hub Actions, or Azure Dev Ops to automate the building, testing, and deployment of our applications and data workflows.
• Orchestrate Data Workflows: A core part of your role will be creating, maintaining, and monitoring our data ingestion and delivery pipelines using Argo Workflows. You'll ensure that data flows seamlessly and reliably to our clients and internal teams.
• Ensure System Reliability (SRE Principles):
  You will monitor the health and performance of our systems, ensuring efficient resource usage. When issues arise, you'll be on the front line, performing root cause analysis, deploying fixes, and providing Level 2 technical support. You'll also contribute to a blameless post-mortem culture to learn from incidents.
• Drive Continuous Improvement:
  You will be empowered to propose and implement structural improvements to our platform, from configuration management to system architecture. We want you to help us get better every day.
• Collaborate Across Teams:
  You will work closely with our talented Data Scientists, Software Engineers, and Product Owners to build scalable, reliable, and secure solutions that meet their needs.
• Shared On-Call Responsibility:
  You will participate in a shared, rota-based, out-of-hours emergency on-call schedule. We strive to build resilient systems to keep this quiet, and we ensure our on-call engineers are well-supported.

As a key member of our team, you will be at the heart of our data platform, ensuring its reliability, scalability, and efficiency. We are constantly evolving our workflows and are committed to investing in cutting-edge technology. If you are passionate about designing, building, and deploying resilient, distributed systems and want to make a tangible impact, you will thrive here. You won't just be maintaining systems;

you'll have the autonomy to propose and implement new ideas and technologies that will shape the future of our data infrastructure.

The successful candidate will bring:

• Cloud Platform
  
  Experience:
  
  Professional experience with a major cloud provider (GCP, AWS, or Azure). We primarily use GCP and AWS, so experience there is a significant plus.
• Infrastructure as Code (IaC):
  Knowledge of IaC principles and tools such as Terraform, Pulumi, or Ansible.
• CI/CD:
  Knowledge of continuous integration and continuous delivery workflows.
• Databases:
  Working knowledge of SQL and experience with relational databases or data warehouses.
• Scripting and Automation:
  Proficiency in a scripting language (e.g., Python, Bash) and comfort with the Unix/Linux command line (we expect you to know your way around `grep`, `awk`, `sed`, etc.).
• ETL/Data Pipelines:
  Familiarity with data workflows and tools like Argo Workflows.

• Containerization and Orchestration:
  Experience with Docker and Kubernetes is highly desirable.
• Version Control:
  Proficiency with Git and collaborative workflows (e.g., pull requests, code reviews).
• Experience of Windows IIS
• No
  
  SQL Databases:
  Familiarity with No
  
  SQL databases like MongoDB or DynamoDB.
• Agile and Project Tracking:
  Experience with tools like Jira or Azure Dev Ops.
• Networking Concepts: A good understanding of networking principles (TCP/IP, DNS, HTTP).
• Security Best Practices: A good awareness of and interest in security and privacy in the cloud.

We offer a comprehensive…