Full-stack Engineer

• Architect and build robust systems, optimizing performance for speed and reliability.
• Ensure security and compliance with industry standards, integrating with third-party APIs and payment processing.
• Work in a domain POD alongside senior engineers, QA specialists, and product partners, delivering full-stack features on .NET Core, React, React Native, SQL Server, Cosmos DB, messaging, Kubernetes (AKS), and Databricks-backed data products.
• Gain exposure to microservices, cloud platforms, and modern DevOps practices in a distributed team environment.
• Design and implement full-stack features using C#/.NET Core (services, APIs) and React for web, with optional contributions to React Native for mobile platforms.
• Build clean, well-structured microservices following SOLID principles, Clean Architecture, and Domain-Driven Design (DDD) patterns with strong test coverage (unit, integration, contract tests).
• Develop containerized applications using Docker, deploy to Azure Kubernetes Service (AKS), and participate in CI/CD pipeline improvements.
• Integrate with messaging platforms (Azure Service Bus, Event Grid) to build event-driven and asynchronous workflows for distributed systems.
• Design and optimize SQL Server queries, schemas, and indexes for transactional workloads; implement Cosmos DB data models for high-throughput, low-latency scenarios with appropriate partitioning and consistency models.
• Contribute to observability: structured logging, distributed tracing, metrics collection, and dashboards using Application Insights, Prometheus, or similar tools.
• Participate in on-call/incident rotation as needed, helping diagnose, resolve, and learn from production issues in a 24/7 platform.
• Collaborate with senior engineers, architects, and product partners to refine requirements, participate in design reviews, and deliver features with high quality.

Senior Full Stack Engineer

SDET

• Design, build, and maintain scalable automated test coverage for critical business flows across web applications, REST APIs, and selected mobile and desktop journeys.
• Own and improve our TypeScript + WebdriverIO automation framework, including architecture, reusable utilities, coding standards, and maintainability.
• Integrate automated tests into CI/CD pipelines and improve reliability, execution speed, reporting, and feedback loops.
• Investigate test failures, reduce flaky tests, and identify whether issues come from product defects, data, environments, or framework gaps.
• Partner with developers, product managers, and QA teammates to review requirements early and identify what should be automated and why.
• Build stable regression, smoke, and high-risk business-critical test coverage for fast-moving releases.
• Contribute to test strategy, risk-based coverage, release readiness, and defect triage.
• Mentor other QA engineers through code reviews, framework guidance, and automation best practices

Senior QA Automation Engineer

Business Analyst

• Gather, analyse, and document data and reporting requirements across business divisions to support delivery of a centralised, self-service data platform.
• Collaborate with business stakeholders, data engineering, and tech ops teams to translate business needs into clear, traceable technical specifications, user stories, and acceptance criteria, using Jira and Azure DevOps, ensuring alignment with agile delivery cycles.
• Lead requirements, planning, and validation activities for the end-to-end migration, reconciliation, and testing of five critical data domains, ensuring reporting continuity and alignment with business needs.
• Maintain ownership of existing data reporting and operational support activities, promptly identifying and resolving reporting or data quality issues.
• Document current and future state processes, data flows, and governance standards, ensuring clear, accessible, and version-controlled documentation.
• Contribute to foundational Data Strategy initiatives, including Master Data Management (MDM), data lineage, data cataloguing, and governance artefact development.
• Ensure all data initiatives align with organisational data governance, security, privacy, and compliance requirements.
• Support testing and validation activities, including UAT preparation, issue tracking, and verification of migrated and newly developed data solutions.
• Monitor project progress, dependencies, and risks, proactively escalating issues and recommending solutions to maintain delivery timelines.
• Prepare and present high-quality reports and dashboards using Power BI (proficient in DAX and SQL) to provide actionable insights for program teams and senior leadership.
• Demonstrate flexibility to support team priorities as needed, readily pivoting to assist across tasks and initiatives.
• Take accountability and ownership for deliverables, working independently without close supervision while actively collaborating and contributing to team success.

Axi

Senior Full Stack Engineer

Senior QA Automation Engineer

Technical Business Analyst