Full Stack Developer; Advanced

Senior Full Stack Engineer (AI Platform | Cloud | Serverless | Event-Driven)

We are looking for a Senior Full Stack Engineer to join a cutting-edge Intelligent Document Processing platform team, building scalable, cloud-native systems that process and transform data at enterprise scale.

This role is ideal for an engineer who thrives on ownership and impact, someone who can design and deliver end-to-end features, from modern frontend experiences to resilient, serverless backend systems. You will play a key role in shaping platform architecture, driving engineering best practices, and building event-driven, multi-tenant systems that integrate emerging AI and document intelligence capabilities.

• Strong experience with modern frontend frameworks (Angular or similar) and Type Script
• Advanced Python skills with experience building serverless, cloud-native backends
• Proven full stack expertise, with strength in APIs, backend systems, and distributed architectures
• Hands-on experience with AWS and cloud-native design patterns
• Deep understanding of Infrastructure-as-Code and multi-environment deployments
• Experience designing and operating scalable, high-throughput systems
• Strong experience with event-driven architectures and asynchronous processing
• Solid knowledge of CI/CD, containerisation, and Dev Ops practices (Docker, Kubernetes, ECS)
• Experience working with security, compliance, and infrastructure teams
• Ability to translate business requirements into technical architecture with minimal guidance
• Interest in or experience with AI tools and AI-powered platforms

• Design and deliver end-to-end full stack features across frontend and serverless backend systems
• Build and own APIs and backend services powering complex document processing workflows
• Architect and implement event-driven processing pipelines for high-scale data handling
• Own and evolve Infrastructure-as-Code modules, applying software engineering rigor to infrastructure
• Lead technical design reviews and define best practices for quality, testing, and deployment
• Collaborate with product owners, data scientists, and platform engineers to deliver scalable solutions
• Mentor engineers through code reviews, knowledge sharing, and technical guidance
• Drive CI/CD excellence, improving automation and deployment confidence
• Embed security best practices across application and infrastructure layers
• Improve observability, monitoring, and system reliability through proactive engineering
• Contribute to AI-powered features, including integration with LLM and document intelligence services
• Act as a trusted technical advisor, evaluating new technologies and guiding platform evolution

• Experience building multi-tenant SaaS platforms
• Exposure to LLMs, prompt engineering, or AI orchestration frameworks
• Background in data science integration or document processing systems
• Experience with asynchronous workflows and orchestration at scale
• Strong testing practices across unit, integration, and end-to-end levels
• Experience working in high-growth or platform engineering environments
• Knowledge of responsible AI practices and platform safety considerations

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field (or equivalent experience)
• Minimum 6+ years’ experience in full stack software engineering
• Proven experience delivering cloud-based, distributed systems at scale
• Demonstrated ability to take platform features from design through to production