A global technology organisation is looking for a Full Stack Software Engineer to develop and enhance a range of data-driven applications, cloud platforms and intelligent software tools.
This is a hands-on, full-stack engineering role combining backend development, cloud infrastructure, web technologies and emerging AI capabilities. You'll help build applications that improve business processes, support decision-making and deliver better user experiences across a range of teams.
Working within a small, collaborative engineering team, you'll contribute to technical design decisions, develop new features and help evolve existing applications into scalable, reliable production platforms. The role offers exposure to a broad technology stack and the opportunity to work on practical AI integrations alongside established software engineering projects.
Key Responsibilities
- Design, develop and maintain applications across the full stack, from backend services and APIs to user-facing interfaces.
- Build production software using Python, TypeScript and modern web technologies.
- Develop cloud-based applications and services using AWS and other cloud platforms.
- Integrate applications with data pipelines, enterprise systems and external services.
- Build AI-powered features, including LLM integrations, prompt orchestration and tools that connect AI agents with data and services.
- Contribute to architectural and technical decisions, evaluating frameworks, tools and implementation approaches.
- Develop proof-of-concepts to assess new technologies and demonstrate potential solutions.
- Investigate and resolve production issues, optimise application performance and improve software reliability.
- Design efficient data processing and integration patterns for applications handling large datasets.
- Implement authentication and authorisation mechanisms for secure enterprise applications.
- Support infrastructure deployment, Infrastructure as Code and CI/CD pipeline development.
- Collaborate with engineering, product, data and business stakeholders to define requirements and deliver new features.
- Help scale successful applications into robust, maintainable platforms suitable for wider adoption.
Essential Requirements
- Strong Python development experience, including building production applications.
- Practical experience with AWS services such as Lambda, ECS/Fargate, S3 and API Gateway.
- Experience deploying and managing containerised applications using Docker.
- Good SQL skills and experience working with data warehouses.
- Hands-on experience with Infrastructure as Code, particularly Terraform.
- Proficiency with Git and modern CI/CD workflows.
- Experience contributing to the design and implementation of multi-component software systems.
- An interest in using AI-assisted development tools and building AI-enabled software features.
- Strong problem-solving skills and the ability to collaborate effectively within a cross-functional team.
Desirable Experience
- Modern web development frameworks, particularly Next.js, React and TypeScript.
- Google Cloud Platform services, especially BigQuery.
- Enterprise authentication and authorisation, including SSO, SAML, OAuth and role-based access control.
- Developing and optimising applications that process high volumes of data.
- Experience with B2B SaaS platforms, CRM systems or business productivity tools.
- Designing and automating ETL and data integration pipelines at scale.
- Supporting the evolution of early-stage applications into enterprise-grade platforms.
- Agile development methodologies and tools such as Jira.
- Full-stack development spanning infrastructure, backend services and frontend interfaces.
- Understanding how technical decisions influence business outcomes, usability and user adoption.
- Automated document generation or data visualisation libraries.
- Building applications with LLMs and AI APIs.
- Familiarity with AI orchestration, retrieval-augmented generation (RAG), or agent and tool frameworks such as the Model Context Protocol (MCP).
The Opportunity
This role is ideal for a Software Engineer who enjoys working across the full development lifecycle and wants to broaden their experience across cloud technologies, data-driven applications and AI-enabled solutions.
You'll join a collaborative engineering environment where you can contribute ideas, take ownership of development work and help deliver scalable software with tangible business value.
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