Responsibilities
- 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
Requirements
- 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
Benefits
- Shape products used by cultural organisations worldwide
- Work on meaningful, technically challenging problems with real ownership
- Be part of a collaborative, remote-first engineering culture
- Explore responsible, real-world applications of AI
- Enjoy stability, autonomy, and opportunities to influence long-term technical direction
Team
Structure: Remote-first, values-led team
Additional Information
- Applicants must be resident in the UK and have the right to live and work in this country
