• Participate in the development and maintenance of an innovative application. • Analyze requirements (in collaboration with the client) and contribute to solution design. • Develop test cases. • Deploy applications to production environments. • Diagnose and troubleshoot incidents. • Use repositories and software development tools. • Design and develop new application modules. • Apply AI‑driven approaches for: Code generation and refactoring, Automated documentation, Test generation and validation, Debugging and root‑cause analysis, Code reviews and quality improvements, SDLC automation and developer productivity optimization. • Understand the capabilities, limitations, and appropriate usage of Large Language Models (LLMs) in software engineering workflows. • Collaborate in the adoption of AI engineering best practices, governance, and secure usage of AI tools in enterprise environments. • Stay up to date with emerging AI engineering trends, frameworks, and development accelerators.

• Design, develop and maintain fullstack applications and services using C#/.NET and JavaScript • Lead the technical design and continued development of a business-critical platform • Collaborate with business stakeholders, product teams and technical teams to translate requirements into effective technical solutions • Develop and integrate APIs, cloud services and platform components • Contribute to architecture decisions, development roadmaps and technical improvements • Support rapid Agile delivery, ensuring code quality, maintainability and performance • Provide technical guidance and contribute to efficient development team practices

• Build and maintain backend services, APIs, webhooks and integration services. • Develop secure, scalable foundations for multi-tenant education products. • Build and improve integrations with learning platforms, third-party services, AI providers and internal systems. • Design reliable data flows for assessment, feedback, learner activity, reporting and operational workflows. • Build and maintain authentication, authorisation, permissions and audit capabilities appropriate for education products. • Work with PostgreSQL, BigQuery and modern cloud application infrastructure. • Build and deploy containerised services in cloud environments. • Improve reliability, observability, performance and maintainability across backend systems. • Investigate production issues, identify root causes and implement durable fixes. • Work closely with Product and AI Engineers to turn product needs into scalable technical systems. • Engage with education partners where useful to understand real workflows and improve integrations. • Use AI-assisted development tools appropriately while maintaining strong standards for testing, security and code quality. • Write clean, tested and maintainable code.

• Develop and maintain customer-facing features and components across Content Management, Advertising, and Customer Relations. • Lead pivotal projects from development through production launch, including landing page improvements and expansion of marketing campaign capabilities. • Implement and maintain new and existing product features. • Perform comprehensive automated unit and integration testing to ensure high quality, supplemented by manual testing as needed. • Help drive the team forward by leading technical solution planning and ensuring project goals are met on schedule. • Collaborate with stakeholders and other engineering teams on business-critical projects and features.