Aqovia

• Automation & Test Engineering: Build and maintain automation infrastructures for Laravel backends and Moodle integrations using Pest, PHPUnit, Playwright, or Cypress. • AI Validation: Formulate strategies to test AI-centric features, including grading engines, response latency, and personalized learning trajectories. • CI/CD Integration: Embed test coverage, quality gates, and automated release controls into GitLab CI, GitHub Actions, or Azure DevOps. • Performance & Reliability: Support load testing to handle massive student traffic volumes, and use observability tools (Grafana, New Relic) to monitor system health. • Architecture Collaboration: Review technical designs and define testing approaches for LTI integrations, custom Moodle plugins, and external partner APIs.

• Discovery & Solution Design: Evaluate legacy ecosystems, operational workflows, and infrastructure limitations (focusing on bandwidth optimization and high-volume traffic management). • LMS Architecture: Design sophisticated, high-scale LMS frameworks powered by Moodle and tailored EdTech innovations. • Technical Proposal & Specs: Formulate detailed architectural blueprints, including trade-off analyses, risk assessments, delivery timelines, and Azure cloud utilization projections. • Delivery Governance: Serve as the primary technical arbiter for engineering cohorts exceeding 20 developers, ensuring adherence to rigorous security and coding benchmarks. • Risk Mitigation: Proactively address architectural vulnerabilities, system bottlenecks, and technical debt.

• UX Research & Frameworks: Conduct user research within learner and educator demographics. Create personas, map user journeys, and work with user stories to optimise digital learning workflows. • Human-AI Interaction Design: Shape the UX for cutting-edge features like AI tutor chat interfaces, smart nudges, and teacher copilots. • Wireframing & Prototyping: Build low-fidelity wireframes and high-fidelity mockups in Figma, Sketch, or Adobe XD, and develop interactive prototypes using HTML, CSS, and JavaScript. • Data Visualisation: Design engaging dashboards and visualisations based on educational data, predictive learning analytics, and student retention models. • LMS Customisation: Create custom graphics, assets, and themes to enhance wireframes and virtual learning environments.

• Elicit requirements and write precise user stories (with acceptance criteria and Gherkin scenarios) in Jira/Confluence. • Architect RESTful web APIs within an API-first framework, defining web service contracts using JSON Schema and OpenAPI/Swagger. • Design integrations between Moodle, bespoke PHP/Laravel environments, and third-party systems (SIS, financial gateways). • Model relational data structures and map complex system flows using BPMN and UML methodologies. • Validate APIs using Postman and collaborate with QA and Product Owners to facilitate acceptance testing.

• PHP & Laravel Development: Write clean, testable, and modular features using PHP 8.x and Laravel that can be programmatically toggled per tenant/institution. • Moodle Core Integration: Build and maintain the application abstraction layer connecting custom tenant features with Moodle core database models and Web Services APIs. • Multi-Tenant Architecture: Implement robust database isolation, data separation rules, and permission layers to ensure total security of student records across differing organisations. • Performance Optimisation: Optimise database schemas and queries (MySQL/PostgreSQL) and implement high-performance caching layers (Redis/Memcached) to minimise database locks during high-traffic exam or registration periods. • Integrations & Standards: Build secure RESTful APIs and webhooks to connect the LMS with Student Information Systems (SIS) and localised payment gateways using EdTech standards like LTI, SCORM, or xAPI. • Codebase Stewardship: Adhere to engineering standards, design patterns, and testing protocols across the PHP ecosystem while participating in regular code reviews.

• Lead Teams: Guide an engineering and product squad to ensure precision in quality and timing, while fostering an environment of continuous improvement and automation. • Manage Products: Partner with stakeholders to architect product roadmaps, manage backlogs, and translate business needs into technical requirements. • Own Client Relationships: Act as a trusted advisor to clients, managing expectations, removing delivery blockers, and driving operational stability. • Commercial Oversight: Manage account finances, including budget forecasting and margin tracking, to ensure project profitability. • Measure Success: Provide transparent internal and client-facing reporting utilizing DORA metrics to evaluate project health.

• Capture and curate business requirements and system documentation in JIRA/Confluence as , user stories, API design, API enhancements • Write estimate-able user stories, in JIRA, for developers including acceptance criteria • Design RESTful web APIs for new and existing products in an API first context, in accordance with strategic guidance provided by the technical architect • Collaborate with engineering team members and business stakeholders to: • Design RESTful web APIs • Design Data Models • Design event-driven processes in a distributed systems (micro-services) • Specify contracts for messaging and web services, primarily using JSON Schema and Open API Specification (Swagger), respectively • Validate/verify APIs by creating requests and asserting responses in Postman • Document processes and data models, primarily using BPMN • Define acceptance test scenarios in a DSL, such as Gherkin and generate test data sets • Support product owners and QA in acceptance testing • Participate in agile team ceremonies • Write customer facing documentation • Coach / mentor junior analyst(s) • Support data engineers responsible for on-boarding customers/data into platform

• Act as Chapter Lead for Data Engineering, providing technical leadership, mentoring, and guidance across the data engineering community. • Set and uphold engineering standards, best practices, and ways of working. • Take ownership and accountability for the quality, maintainability, and scalability of data engineering solutions. • Design, develop, modernise, and test data engineering pipelines, including ETL/ELT processes, reports, and data visualisations. • Build and maintain robust real-time and batch data pipelines to meet evolving client and business needs. • Load and transform customer data into target platforms using scalable and reusable patterns. • Implement data management and integration solutions using APIs. • Write complex, performant T-SQL queries and high-quality Python code. • Ensure solutions are well-documented, reusable, maintainable, and production-ready. • Apply source control best practices using Git and contribute to CI/CD pipelines. • Elicit, analyse, and refine multi-stakeholder requirements, translating business needs into technical solutions. • Act as a client-facing consultant, confidently engaging with technical and non-technical stakeholders. • Collaborate closely with internal teams and client stakeholders to provide technical leadership and delivery assurance. • Support pre-sales and sales activities where required, including solution shaping and technical input.