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Full Stack Software Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Holt Executive Ltd
Full Time position
Listed on 2026-10-12
Job specializations:
  • Software Development
    Full Stack Developer, Backend Developer, Cloud Engineer - Software, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 65000 - 90000 GBP Yearly GBP 65000.00 90000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

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, Type Script 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 Type Script.
  • Google Cloud Platform services, especially Big Query.
  • 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.

TT

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