1896 Full Stack Developer (Advanced)

SUMMARY:
ESSENTIAL SKILLS:

• You have deep experience with modern frontend frameworks (Angular or equivalent) and TypeScript, and you care about building UIs that are fast, accessible, and maintainable
• You write strong Python and have built cloud-native serverless backends that run reliably in production
• You have full-stack engineering depth with particular strength in backend systems: databases, APIs, authentication, reliability, and infrastructure
• You've designed and operated production workloads on AWS at scale — and you understand the trade-offs between services, cost, and complexity
• You have a deep understanding of Infrastructure-as-Code and have managed deployments across multiple environments from dev through production
• You have experience building and operating platforms that serve many concurrent users reliably — and you know what it takes to keep them running
• You're comfortable with ambiguity and ownership — you can translate business intent into technical architecture without heavy specification
• You're comfortable with containerisation, CI/CD, and DevOps practices (Docker, ECS, Kubernetes) — you believe in automation, fast feedback, and keeping the path to production smooth
• You have experience interfacing with security and infrastructure teams to meet organisational requirements while maintaining development velocity
• You actively use AI tools in your own engineering workflows — and you have genuine curiosity about how AI is fundamentally changing what software platforms can do

• You have experience designing systems that non-technical users can configure and operate without engineering bottlenecks
• You've done prior work at a high-growth company where you built platform infrastructure that other teams depended on
• You're familiar with building systems that incorporate LLM capabilities as core infrastructure
• You're familiar with agentic AI patterns, prompt engineering, or LLM orchestration frameworks
• You understand data science workflows, ML model integration, or intelligent document processing pipelines
• You've built or operated multi-tenant SaaS platforms with per-tenant isolation and configuration
• You've worked with enterprise design systems or component libraries at scale
• You take a thoughtful approach to testing strategy — from unit and integration tests to end-to-end automation — and you've shaped testing culture on a team
• You have experience building orchestration workflows for complex, asynchronous processing at scale
• You have an understanding of responsible AI, safety, and guardrails for LLM-powered applications

POSITION INFO:
RESPONSIBILITIES:

• Design and deliver full stack features across modern frontends and serverless backends within our multi-tenantdocument processing platform
• Build and maintain the APIs and backend services that power complex document processing workflows — you'll own the contracts, the reliability, and the developer experience
• Architect and implement event-driven processing pipelines that handle documents at scale with high throughput and reliability
• Own and evolve our Infrastructure-as-Code modules across multiple environments, making infrastructure changes with the same rigour as application code
• Lead technical design reviews and establish engineering best practices for code quality, testing, and deployment across the team
• Collaborate with product owners, data scientists, and platform engineers to translate requirements into scalable, well-architected solutions
• Mentor and support engineers at all levels through code reviews, pair programming, and knowledge sharing — you'll help set the technical direction for others
• Champion CI/CD excellence by continuously improving automation, quality gates, and deployment confidence
• Embed security into the platform — from access controls and encryption to infrastructure compliance and vulnerability scanning
• Drive observability and reliability through monitoring, alerting, and proactive incident management so the team can move fast with confidence
• Contribute to AI-powered feature development where needed, including integration with LLM and document intelligence services
• Act as a trusted technical advisor, evaluating emerging technologies and recommending improvements aligned with the platform's long-term direction

• 6+ years of professional software engineering experience with a strong full stack track record — you've taken features and platforms from zero to production at scale
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field — or equivalent
• demonstrable experience building production-grade cloud platforms
• Proven experience delivering complex, distributed architectures on a major cloud platform with Infrastructure as- Code, including leading cross-functional technical initiatives from design through production