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. #LI-EB1

Role Description The Senior Cloud Engineer will design, implement and maintain scalable cloud solutions on Microsoft Azure. The role involves supporting the development and operations teams by building and managing cloud-native environments, with a strong focus on automation and infrastructure as code. The engineer will contribute to the deployment and optimization of container-based applications, ensuring reliability, security and performance across environments. The position also includes collaborating with cross-functional teams to streamline CI/CD processes and improve the overall cloud architecture and operational standards. Qualifications - Strong experience with Microsoft Azure cloud services and architecture - Experience with Azure Container Apps or container-based workloads - Experience with Terraform for infrastructure as code - Experience with GitHub Actions for CI/CD pipeline automation - Familiarity with Bicep scripts for Azure resource deployment - Ability to design and manage cloud-native architectures and automated deployments - Fluency in the English Language (level C1) Requirements - Experience with Kubernetes or container orchestration platforms (nice to have) - Knowledge of Azure DevOps practices and cloud security best practices (nice to have) - Experience in monitoring and logging solutions within Azure environments (nice to have) Benefits - Remote Working & Freedom: Lavora da casa con flessibilità e comfort. - 30 Giorni Off: Hai un totale di 30 giorni per goderti il tuo tempo libero. - Training & Tech Library: Budget formazione personalizzato sui progetti e accesso a risorse per restare sempre aggiornato sulle ultime tech stack. - Health & Welfare: Fondo sanitario contrattuale esteso alla famiglia e un budget welfare su misura per le tue esigenze. - Referral Bonus: Conosci un talento? Presentacelo e ricevi un premio economico senza limiti di segnalazioni. - Plus: Buoni pasto elettronici e convenzioni esclusive su tech, viaggi e lifestyle.

• Architecture & Implementation: You design and implement scalable, highly available solutions on Microsoft Azure and AWS. • Infrastructure as Code (IaC): You automate complex infrastructures using Terraform and Bash scripting and integrate them into professional CI/CD pipelines. • Cloud Native Development: You develop business-critical backend services and APIs using Python or Go to extend and optimize cloud platforms. • Network & Security Engineering: You analyze and resolve fundamental IT challenges at the level of network topologies (OSI layers 3 to 7), routing, and DNS management. • Modern Workloads: You are responsible for building and operating container platforms (e.g., Docker, Kubernetes) and ensuring their compliance and security. • Technical Consulting: You act as a technical point of contact for our clients, present architecture designs, and support strategic cloud adoption.

Role Description Buscamos um(a) Engenheiro(a) de Confiabilidade de Site (SRE) Sênior para assumir a responsabilidade técnica da nossa infraestrutura em nuvem AWS. Você será peça-chave na garantia de disponibilidade, performance e segurança dos nossos ambientes, liderando iniciativas de automação, observabilidade e evolução contínua da plataforma — com visão estratégica e execução. Mais do que manter a casa em ordem, buscamos alguém que antecipe problemas antes que virem incidentes e que, quando o pior acontecer, seja a pessoa que todos querem ao lado: calma sob pressão, raciocínio rápido e decisões assertivas. Perfil que buscamos: - Profissional sênior com mentalidade orientada a confiabilidade, monitoramento e automação - Capaz de tomar decisões técnicas com autonomia - Liderar frentes estratégicas de infraestrutura - Atuar como multiplicador de boas práticas dentro do time - Enxerga cada falha como oportunidade de melhoria - Proativo e resolutivo - Rastreia, antecipa e age antes que o problema chegue - Assume o controle com clareza durante incidentes - Coordena a resolução sem entrar em pânico - Não sai da crise sem um plano para que ela não se repita Qualifications - Experiência comprovada com CI/CD — Jenkins e similares - Domínio de containers e orquestração — Docker e Kubernetes - Sólida vivência com Infraestrutura como Código — Terraform - Experiência com observabilidade e monitoramento — Datadog - Experiência em ambientes de cloud AWS - Conhecimento em FinOps — otimização e governança de custos em nuvem Requirements - Experiência com automação de segurança — DevSecOps - Certificações AWS (Solutions Architect, DevOps Engineer ou SysOps) - Participação em projetos de migração para cloud - Conhecimento em Python para automação e scripting Company Description