Principal Engineer
Listed on 2025-12-20
-
IT/Tech
Systems Engineer, Data Engineer -
Engineering
Systems Engineer, Data Engineer
Principal Cloud Engineer
Job DescriptionThe Pearson Virtual Schools Cloud Engineering & Operations team is seeking a Principal Cloud Engineer to guide the ongoing development of our cloud-native platforms following the migration from legacy data centers. In this role, the Principal Cloud Engineer will provide technical leadership, mentor engineering teams, and oversee the design and implementation of robust, scalable, and high-availability systems across AWS and Azure.
The successful candidate will collaborate closely with architecture, software engineering, rapid response, and incident management teams to promote operational excellence and foster innovation at scale.
- Provide technical leadership and strategic direction for cloud architecture, reliability engineering, and automation initiatives.
- Partner with engineering leadership to define and implement best practices for cloud adoption, resiliency, and cost optimization.
- Drive the integration of AI/ML technologies into cloud-native platforms to enable predictive analytics, automation, intelligent monitoring, and generative AI solutions for operational efficiency and innovation.
- Lead the design and review of complex, large-scale distributed systems, ensuring alignment with business goals and security standards.
- Mentor and coach cloud and software engineers, fostering a culture of continuous improvement and technical excellence.
- Participate in incident management processes, facilitate blameless post-mortems, and drive systemic improvements to eliminate recurring issues.
- Champion Infrastructure as Code, CI/CD, and Dev Ops practices across teams.
- Guide the selection and implementation of monitoring, logging, and alerting solutions to ensure proactive detection and resolution of issues.
- Lead cross-functional efforts to automate operations, reduce toil, and improve deployment velocity.
- Represent cloud engineering in architectural reviews, technical steering committees, and executive discussions.
- Participate in a 24/7 on-call rotation as an escalation point for critical incidents.
- 8 years of experience architecting, designing, and implementing cloud solutions, with deep expertise in AWS and Azure.
- Demonstrated leadership in designing and operating mission-critical, large-scale cloud platforms.
- Proven ability to integrate AI/ML technologies into cloud-native platforms for predictive analytics, automation, intelligent monitoring, and operational optimization, leveraging frameworks like Tensor Flow, PyTorch, and cloud AI services (AWS Sage Maker, Azure ML), with awareness of emerging trends such as generative AI for automation and code optimization.
- Advanced knowledge of AWS services (API Gateway, Cloud Watch, EC2, ECS, Elasti Cache, FSx, IAM, Lambda, ECR, Route
53, S3) and Azure equivalents. - Mastery of Infrastructure as Code (Cloud Formation, Terraform) and automation frameworks.
- Extensive experience with containers (Docker, Kubernetes) and orchestration at scale.
- Proficiency in multiple programming and scripting languages (Power Shell, Python, Go, Java, C#, etc.).
- Strong background in Linux and Windows administration, networking, and cybersecurity best practices.
- Proven track record of building and optimizing CI/CD pipelines (Azure Dev Ops, Git Hub Actions).
- Experience leading technical teams, mentoring engineers, and influencing organizational change.
- Deep understanding of the AWS Well-Architected Framework and cloud cost management.
- Excellent communication, collaboration, and stakeholder management skills.
- AWS Solutions Architect Professional or equivalent advanced certifications.
- Hashi Corp Terraform certification.
- Experience presenting at industry conferences or publishing technical content.
- Demonstrated impact on driving cloud transformation and reliability engineering at scale.
Applications will be accepted through 12/18/2025. 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,…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).