Smart Working

• Design, build, and maintain scalable full-stack applications across frontend, backend, and infrastructure layers • Collaborate with Product, Design, Commercial, and Analytics teams to define and deliver impactful new features • Build internal tools and operational systems that improve efficiency and scalability across the organisation • Develop and integrate AI-powered workflows and LLM-based solutions using modern generative AI tooling • Explore, evaluate, and optimise the use of LLMs and AI systems across products and internal processes • Contribute to architectural decisions, scalability improvements, and ongoing platform evolution • Build high-quality user experiences using modern frontend technologies and design systems • Design and maintain reliable backend systems, APIs, and data structures • Work across evolving technologies and help identify the right tools and approaches for different problems • Participate in retrospectives, knowledge sharing, and continuous improvement initiatives • Foster a collaborative, inclusive, and psychologically safe engineering culture • Contribute to delivering products that create meaningful real-world impact for end users

• Design, develop, and maintain scalable backend services and APIs using C# and .NET 10 • Build and maintain secure, reliable integrations with third-party systems and external APIs • Define and implement resilient and fault-tolerant API communication patterns • Troubleshoot and resolve complex backend and API issues, including connectivity and data consistency problems • Ensure systems are observability-first through effective logging, metrics, monitoring, and alerting • Create and maintain clear API integration documentation for internal and external stakeholders • Collaborate closely with Product Managers, QA Engineers, Designers, and Data teams to deliver high-quality features • Champion engineering best practices across testing, CI/CD, secure coding, and maintainability • Mentor junior developers and contribute to overall engineering excellence • Support ongoing platform scalability, integration, and performance improvement initiatives • Contribute to the evolution of the company’s API platform and backend architecture

• Design, develop, and maintain scalable backend services and APIs using C# and .NET 10 • Build and maintain secure, reliable integrations with third-party systems and external APIs • Define and implement resilient and fault-tolerant API communication patterns • Troubleshoot and resolve complex backend and API issues, including connectivity and data consistency problems • Ensure systems are observability-first through effective logging, metrics, monitoring, and alerting • Create and maintain clear API integration documentation for internal and external stakeholders • Collaborate closely with Product Managers, QA Engineers, Designers, and Data teams to deliver high-quality features • Champion engineering best practices across testing, CI/CD, secure coding, and maintainability • Mentor junior developers and contribute to overall engineering excellence • Support ongoing platform scalability, integration, and performance improvement initiatives • Contribute to the evolution of the company's API platform and backend architecture

• Develop and maintain scalable applications using NodeJS, TypeScript, MongoDB, Docker, and related technologies • Contribute hands-on across the full software development lifecycle, from design through deployment and support • Collaborate closely with developers, designers, QA, and product stakeholders to deliver high-quality product features and enhancements • Participate actively in Agile ceremonies, including sprint planning, standups, retrospectives, and estimation sessions • Review technical designs, requirements, and specifications to provide constructive feedback and ensure engineering quality • Identify technical risks, dependencies, and architectural considerations early in the development process • Drive engineering best practices across CI/CD, testing, observability, security, and code quality • Contribute to architectural strategy and support scalable, maintainable system design decisions • Build and support real-time, event-driven, and data-intensive platform capabilities • Participate in an on-call support rota and contribute to incident resolution and operational stability • Collaborate across business and technical teams to align engineering delivery with commercial and customer objectives • Promote knowledge sharing, documentation, and continuous improvement across the engineering organisation • Leverage AI-assisted development tools to improve engineering productivity and delivery efficiency

• Develop and maintain scalable applications using NodeJS, TypeScript, MongoDB, Docker, and related technologies • Contribute hands-on across the full software development lifecycle, from design through deployment and support • Collaborate closely with developers, designers, QA, and product stakeholders to deliver high-quality product features and enhancements • Participate actively in Agile ceremonies, including sprint planning, standups, retrospectives, and estimation sessions • Review technical designs, requirements, and specifications to provide constructive feedback and ensure engineering quality • Identify technical risks, dependencies, and architectural considerations early in the development process • Drive engineering best practices across CI/CD, testing, observability, security, and code quality • Contribute to architectural strategy and support scalable, maintainable system design decisions • Build and support real-time, event-driven, and data-intensive platform capabilities • Participate in an on-call support rota and contribute to incident resolution and operational stability • Collaborate across business and technical teams to align engineering delivery with commercial and customer objectives • Promote knowledge sharing, documentation, and continuous improvement across the engineering organisation • Leverage AI-assisted development tools to improve engineering productivity and delivery efficiency

• Design, build, and implement an end-to-end AI-powered tender response platform. • Develop and maintain backend services and AI workflows using AWS-native technologies. • Build and manage infrastructure using Terraform and cloud-native best practices. • Implement AI and retrieval workflows leveraging AWS Bedrock and vector database technologies such as PGvector. • Design and orchestrate scalable workflows using AWS Step Functions. • Collaborate closely with senior technical stakeholders to deliver project milestones within tight timelines. • Contribute to architecture decisions, backend integrations, and deployment workflows. • Ensure solutions are scalable, maintainable, and production-ready. • Troubleshoot and resolve technical issues across infrastructure, backend services, and AI components. • Support testing, deployment, and optimisation activities throughout the project lifecycle. • Operate effectively in a fast-paced environment with high ownership and minimal oversight.

• Develop and maintain .NET applications across frontend and backend systems. • Build and enhance web applications using Blazor. • Contribute to cross-platform application development using .NET MAUI. • Deliver backlog features, bug fixes, and ongoing platform improvements across multiple projects. • Collaborate with project managers, developers, and product stakeholders to deliver technical solutions aligned with business requirements. • Participate in architecture discussions, technical planning, and solution design activities. • Write clean, maintainable, and scalable code following engineering best practices. • Support testing, debugging, troubleshooting, and issue resolution across applications. • Work across APIs, integrations, and backend services where required. • Contribute to improving development workflows, code quality, and team collaboration practices. • Use AI-assisted development tooling where appropriate to improve engineering productivity.

• Own and maintain cloud-based data pipelines and backend systems across the AWS stack. • Run and support monthly ingestion and processing workflows using AWS services such as S3, Lambda, Glue, Athena, and Step Functions. • Maintain and improve the Python codebase, dependencies, and backend services. • Support and enhance the client-facing analytics dashboard and API delivery layer. • Perform data quality validation, troubleshooting, and issue resolution across the platform. • Improve API performance, scalability, and reliability. • Help redesign and modernise data structures and vehicle make/model mapping systems. • Support the productionisation of a cloud-based repair database. • Reduce technical debt and improve engineering standards across the stack. • Integrate and manage third-party data providers and ingestion workflows. • Work independently to identify platform improvements and deliver pragmatic solutions. • Use AI tools and automation to improve engineering productivity and operational efficiency.

• Manage end-to-end delivery of multiple projects, from planning through to execution and completion • Allocate resources effectively across projects, ensuring optimal utilisation of teams • Own and manage project budgets, tracking costs, and ensuring financial control • Identify, assess, and manage project risks, implementing mitigation strategies proactively • Manage change control processes, ensuring scope changes are clearly documented and communicated • Maintain clear and consistent stakeholder communication, providing updates on progress, risks, and timelines • Collaborate closely with engineering teams and project coordinators to ensure smooth delivery • Drive problem-solving across projects, removing blockers and ensuring momentum is maintained • Ensure projects are delivered in line with quality standards and client expectations

• Build and maintain cross-platform mobile applications using React + Capacitor • Lead the migration from Angular/Ionic to a modern React-based stack • Design and implement high-quality, user-focused interfaces • Develop API integrations and backend-connected features • Own the end-to-end app release process, including: - Publishing to Apple App Store and Google Play - Managing provisioning, signing, and deployment workflows • Ensure performance, scalability, and reliability, particularly during high-traffic periods and peak usage events • Handle production issues, including debugging edge cases that emerge at scale (e.g. concurrency, race conditions) • Contribute to secure handling of sensitive data and payment flows • Make pragmatic architectural decisions and drive delivery forward