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As a Senior Full Stack Engineer, you'll be a technical leader driving architecture decisions across our backend systems and infrastructure, with occasional frontend work. You'll spend most of your time working on our Agent AI initiatives—integrating LLM platforms like OpenAI and Claude into our systems—building robust Java/Spring backends, or managing our Kubernetes infrastructure. You'll be leading architectural discussions, mentoring developers across the stack, and ensuring our codebase scales effectively as we grow. Working within a close-knit team of 4-5 engineers, you'll have opportunities to specialise in areas that align with your interests and our evolving needs.
Job Responsibility:
Technical Leadership - Drive backend architecture decisions and infrastructure planning
establish development standards and best practices for the team
Backend Development - Build and ship robust Java/Spring backend services and APIs, with occasional Angular or React work
System Architecture - Design scalable solutions using our Kubernetes/Docker containerisation approach, NoSQL databases, and AWS services
Cross-Team Collaboration - Work closely with frontend developers and other teams, ensuring robust API design and system integration
Engineering Excellence - Champion code quality through comprehensive reviews, automated testing, and CI/CD best practices across our GitLab pipelines
Team Development - Mentor engineers at various experience levels, sharing knowledge across technologies and helping develop technical decision-making skills
Innovation & Research - Contribute to our Agent AI initiatives, exploring new approaches to process optimisation and intelligent automation
Requirements:
Strong proficiency in Java and Spring framework
Experience building scalable, maintainable applications and RESTful APIs
Comfortable with Node.js tooling and build processes
Understanding of frontend technologies (Angular/React)
Hands-on experience with containerisation (Docker/Kubernetes)
Experience with cloud platforms (preferably AWS)
Experience with CI/CD pipeline configuration
Experience with NoSQL databases, data modelling, and understanding of distributed system patterns
Experienced in testing strategies across the stack, performance optimisation, and establishing monitoring/observability practices
Ability to break down complex technical challenges, evaluate trade-offs, and make pragmatic architecture decisions
Capable of articulating technical concepts to both technical teams and senior stakeholders
Experience engaging project stakeholders, taking ownership of individual features, and driving requirements gathering and technical planning
Nice to have:
Python development experience, particularly for data processing or automation workflows
Experience with LLM APIs and AI platforms (OpenAI, Anthropic Claude, prompt engineering)
Experience with Agentic AI, machine learning integration, or intelligent automation systems
Experience with microservices architecture and distributed system design
Background in data engineering or analytics platforms
What we offer:
Participation in our industry leading share options scheme
Private Medical Plan
20 days a year Work From Anywhere policy for all staff
Flexible-first working policy
Enhanced annual, personal and parental leave schemes
Paid volunteering leave programme
Employer recognition and employee assistance programmes
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