Lead Specialist, Solution Architect
Posted 4hrs ago
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Job Description
Lead Solution Architect shaping Pearson’s secure online proctored testing platform. Guiding Java and cloud-native architecture across engineering teams to improve resilience and scalability.
Responsibilities:
- Own solution architecture from discovery and design through implementation and production adoption
- Translate business needs, constraints and technical requirements into secure, scalable and maintainable designs
- Set technical direction across squads and maintain consistency across the wider OnVUE solution footprint
- Guide engineering teams through implementation while preserving architectural intent
- Evaluate trade-offs across scalability, resilience, security, maintainability, integration risk and business value
- Resolve complex architecture, integration and build issues, escalating decisions outside the assigned scope
- Establish repeatable technical patterns and ensure conformance with architecture standards
- Mentor engineers and architects and communicate recommendations clearly to technical and non-technical stakeholders
- Shape the architecture behind Pearson’s OnVUE online proctored testing platform
- Guide multiple engineering teams as they modernise secure, scalable and reliable assessment delivery
Requirements:
- Progressive experience in software engineering, solution architecture or a related technical discipline
- Strong Java enterprise architecture experience, including Spring and Spring Boot
- Working architecture experience across front-end and back-end technologies, including Angular
- Cloud-platform experience, preferably Azure; strong AWS experience is also relevant
- Kubernetes, containers, orchestration and cloud-native delivery experience
- Experience designing and scaling reliable, distributed applications and maintaining operational health
- Strong third-party integration, API and service-integration experience
- Evidence of leading technical decisions across multiple teams without relying on formal authority
- Strong communication, facilitation, documentation and mentoring skills
- Experience with LLMs, machine learning, video/audio/image processing or desktop products is helpful but not essential
Benefits:
- Eligible to participate in an annual incentive program
- Benefits offered by Pearson (specific benefits linked in the posting)

















