Cloud Engineer

Role: Cloud Engineer

Location: Remote US

Our Division:  Enterprise Learning and Skills (ELS) at Pearson– We provide upskilling and reskilling that ensures people can thrive in a digital, automated future. Specifically, we offer applications like Credly and Faethm. Credly is the world’s leading platform for creating, issuing, and managing digital credentials. It makes talent more visible and opportunity more accessible to members of the workforce. Faethm is a SaaS platform that uses artificial intelligence to help prepare people for the future of work. ELS is the newest division at Pearson with ambitious and exciting plans for growth

About the role: you will play a key role in building, monitoring, maintaining and hardening the internal platforms that our Product Development  and AI&Analytics teams build across multiple geographic regions.. You will also have opportunities to work alongside AI and Backend Engineers to implement our product roadmap. At the same time, you will work with various Pearson teams globally to solve engineering challenges with automated, scalable, robust and secure solutions to shape the engineering best practises.

As a Cloud Engineer, you’ll be responsible for:

·       Strengthen scalability, robustness, observability and security of multi-cloud platform services such as CICD, Kubernetes, API Gateway, Auth services, Postgres, ElasticSearch, Databricks and CubeJs and internal tools.

·       Build and Enhance platform services to enable engineering teams at scale.

·       Stay abreast of changes in technologies, implementing fit for purpose solutions.

·       Documenting and sharing solutions across Pearson technical group.

·       Collaborate with product managers, product designers, security, other engineers to provide deep experience in technical implementation.

To be successful in this role, you will ideally have:  

Essential Skills:

2-3 years’ experience working in Platform Engineering, SRE or similar in a modern enterprise public cloud environment (AWS or Azure). You should be comfortable dealing with microservices and using various DevSecOps tools.

Proficiency building and operating Kubernetes clusters with Azure AKS or AWS EKS in production.

Solid experience with Terraform to deploy infrastructure as code for multiple regions.

Ability to handle uncertainty and priorities and adapt to changes.

A proactive approach to continuous improvement and learning.

Ability to apply emerging technologies to build platform solutions.

Desirable Skills:

Hands-on experienced in Apache Kafka or Pulsar, API Gateway, Datadog, ArgoCD, or Auth0

Developed cloud-scale solutions with a high-level programming language like Typescript, Python or Go.

Our tech stack:  Kubernetes, AWS, Azure, Mulesoft, Github, Databricks, Terraform, Ruby, Python, Typescript,  Postgres, ElasticSearch, FastAPI and Go.

Our purpose: At Pearson we ‘add life to a lifetime of learning’ so everyone can realise the life they imagine. We do this by creating vibrant and enriching learning experiences designed for real-life impact.  

Pearson is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Applications will be accepted through 3/27/2026. This window may be extended depending on business needs. 

Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:   

The full-time salary range is between $100,000 - $110,000. 

This position is eligible to participate in an annual incentive program, and information on benefits offered is here. 

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