We’re partnering with a fast-growing, well-funded technology company that is building next-generation AI-powered software products used by enterprise customers across complex, data-intensive industries.
They’re looking for a Senior Full Stack Engineer with a strong backend focus in Go, who enjoys working across the entire engineering stack; from scalable backend services and cloud infrastructure through to modern frontend applications and AI-enabled products.
What You’ll Be Doing
- Designing and building scalable full-stack applications using Go and React
- Developing backend services, APIs, integrations, and data processing pipelines
- Integrating AI/ML capabilities, LLMs, and external platforms into production systems
- Building and maintaining containerised workloads running in Kubernetes
- Creating robust CI/CD pipelines and improving deployment automation
- Contributing to architecture decisions, technical design, and engineering standards
- Monitoring, troubleshooting, and optimising distributed systems in production
- Collaborating closely with product and business stakeholders to translate requirements into scalable technical solutions
What We’re Looking For
- 5+ years’ commercial experience building software with Go (Golang)
- Experience developing modern web applications across both backend and frontend environments
- Strong experience with modern JavaScript/TypeScript frameworks
- Hands-on experience with Kubernetes and containerised applications
- Experience working with AWS or other major cloud platforms
- Strong understanding of relational and NoSQL databases
- Experience designing and operating distributed systems in production environments
- Excellent communication skills and the ability to work across technical and non-technical teams
- A pragmatic engineering mindset with a focus on quality, scalability, and delivery
Nice To Have
- Terraform and Infrastructure as Code experience
- CI/CD tooling such as GitHub Actions, ArgoCD or similar
- Experience building AI-powered applications, agentic workflows, or automation platforms
- Knowledge of vector databases and semantic search technologies
- Exposure to Retrieval-Augmented Generation (RAG) architectures and LLM integrations
