Solutions Architect

Key Responsibilities

1. Solution Architecture: Lead the architecture and solution design of strategic initiatives across the OTT platform ecosystem, ensuring alignment with business objectives and technology strategy.
   
   
2. Architectural Evolution: Drive architectural evolution by assessing existing systems, identifying improvement opportunities and challenging established assumptions and technical constraints, including the pragmatic application of AI-enabled tools and capabilities where they deliver measurable value.
   
   
3. End-to-End Delivery: Own solution delivery from concept through implementation, providing technical leadership, resolving complex challenges and ensuring successful outcomes.
   
   
4. Scalable Solution Design: Design scalable, secure, resilient and maintainable solutions, defining both functional and non-functional requirements and producing key architectural artefacts, including requirements for responsible AI use, data privacy, security, observability and governance where AI capabilities are involved.
   
   
5. Stakeholder Collaboration: Collaborate with Product, Engineering, Delivery and Business stakeholders to ensure solutions adhere to architectural principles, standards and best practices.
   
   
6. Architecture Reviews: Conduct architecture reviews, identify and mitigate technical risks, dependencies and gaps, and drive continuous quality improvement.
   
   
7. Engineering Guidance: Support engineering teams throughout delivery with architectural guidance, governance and decision-making for complex technical issues. Promote effective and responsible use of AI-assisted engineering and delivery practices.
   
   
8. Technology Innovation: Evaluate emerging technologies, industry trends, OTT best practices and relevant AI capabilities to enhance platform capabilities, engineering efficiency and long-term architectural sustainability.
   
   

Skills, Knowledge & Expertise

• 6+ years' experience as a Solution Architect or similar role, designing and delivering large-scale technology solutions in complex environments.
  
  
• Deep understanding of OTT platform architectures and domains, including subscriptions, monetisation, identity and access management (IAM), content and metadata management, and related platform services.
  
  
• Proven experience designing and delivering scalable, distributed systems using Microservices and Event-Driven Architecture (EDA) principles.
  
  
• Strong knowledge of cloud-native architectures and services, preferably AWS.
  
  
• Strong solution design expertise, including integration and management of third-party vendor solutions and in-house platforms.
  
  
• AI fluency: Practical understanding of Generative AI, Machine Learning and AI-enabled platform capabilities.
  
  
• Experience using AI-assisted tools to improve architecture, analysis, documentation, engineering productivity and problem-solving, while validating outputs and retaining appropriate technical judgement.
  
  
• Ability to assess AI use cases, dependencies, risks and non-functional requirements.
  
  
• Solid understanding of the software development lifecycle, with hands-on experience in technologies such as Node.js, Java, Python or Go, and strong knowledge of database technologies.
  
  
• Proven ability to solve complex business and technology challenges, navigate ambiguity and drive effective technical outcomes.
  
  
• Experience analysing and optimising business processes, operating models and technology landscapes.
  
  
• Strong documentation skills and experience applying industry-standard architecture and design methodologies.
  
  
• Excellent communication and stakeholder management skills, with the ability to influence decisions and communicate complex concepts to both technical and non-technical audiences.
  
  
• Bachelor's degree in Engineering or Computer Science, or equivalent practical experience.