Senior Software Engineer

As a Senior Software Engineer, you will work across two equally important areas: Building new AI-enabled products and add-ons from the ground up Incrementally modernising a complex PHP-based enterprise platform to keep it robust, scalable, and future-ready You will own solutions end-to-end, from architecture and design through to cloud-native deployment and production operation. Working closely with the Product Owner and Head of Engineering, you will make pragmatic architectural decisions that balance innovation, delivery speed, security, and long-term maintainability. AI is central to how we build. You ll help apply AI thoughtfully and responsibly within customer-facing features and internal engineering workflows.

What You ll Do

• Design and deliver end-to-end solutions across frontend, backend, and infrastructure
• Modernise targeted parts of the existing stack to reduce technical risk and improve delivery velocity
• Lead development of new product add-ons with clear commercial value
• Design AI/LLM-powered workflows with strong guardrails for security and reliability
• Build REST APIs and modular services, including scalable inference-backed services where appropriate
• Package and deploy applications using Docker/Kubernetes
• Support AWS-based deployments with a focus on reliability and scalability
• Collaborate on CI/CD pipelines and automation
• Ensure systems are scalable, fault-tolerant, and secure
• Work closely with product, leadership, and customer-facing teams
• Communicate technical trade-offs and risks clearly
• Contribute to shared patterns, documentation, and continuous improvement

What You ll Bring

• 7+ years building and maintaining production software on cloud-native platforms
• Strong backend engineering experience with modern server-side frameworks like Laravel (PHP 8.2+), alongside experience in related technologies such as TypeScript, React, Node.js, JavaScript, or Python
• Deep understanding of relational databases and complex business logic
• Experience working with complex business logic and legacy systems
• Hands-on experience using AI-assisted development tools
• Experience integrating AI or LLM-based capabilities into applications or workflows
• Solid grounding in software architecture, system design, containerisation and cloud platforms (AWS)
• Confidence working with legacy systems while driving pragmatic improvement
• Clear communication skills and a strong sense of technical ownership

Nice To Have

• Experience with microservices, security best practices, or SaaS products
• Familiarity with LLMs, RAG pipelines, or vector search
• Background in creative technology or the arts & culture sector
• Familiarity with agile development methodologies, Git-based workflows and iterative release cycles