Cloud Engineer

Pearson
3h$100,000 - $110,000Remote

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • 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.

Responsibilities

  • 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.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service