Senior Full Stack Developer

ago

Location

Waterloo, London

Hybrid

Salary

Competitive

Employment Type

Contractor

Experience Level

Entry

Junior

Mid

Senior

Expert

Our Client

Global Energy Company

SPECIALTY

Upstream/Downstream, Bio-Fuels, Integrated Gas, New Energies, Chemicals, Energy and Trading

INDUSTRY

Energy

Company Size

80000+ Employees

Aubay's Take

Our client is one of the Super Major global energy companies with who are working to power progress through cleaner energy solutions. You will have the opportunity to work in a challenging but rewarding environment that is fast paced and changing fundamentally, and work towards transforming the business of a Super Major energy company to meet the ambition to be a net-zero emissions energy business by 2050, whilst delivering a world class business case that has a strong societal license to operate. In your role you will be expected to enact change and deliver value globally across business lines and geographies.

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Have Questions?

Contact Robert

Email - rspicer@aubay.com

LinkedIn - Robert's Profile

Role Summary

Aubay UK is seeking an experienced Senior Full-Stack Developer (AI & Data Platforms) to join a high-performing application development team responsible for building modern, scalable, data-driven applications within a complex Trading & Supply environment. This is a hands-on engineering role requiring strong expertise across both front-end and back-end development, with particular focus on React, TypeScript, Azure, Databricks, .NET and/or Python. The successful candidate will work across the full software development lifecycle, from requirements gathering and solution design through to development, deployment, production support, and continuous improvement. The role also offers the opportunity to work with modern AI technologies, including Generative AI, Large Language Models (LLMs), AI-assisted software engineering, and agentic application patterns. As a senior member of the team, you will contribute to technical strategy, mentor engineers, and help establish best practices across application development, AI engineering, and cloud-native delivery.

Required Skills and Experience: 

  • Strong commercial experience developing production applications using React and TypeScript  
  • Strong back-end development experience using .NET/C# and/or Python  
  • Hands-on experience with Microsoft Azure  
  • Hands-on experience with Databricks and data platform integrations  
  • Experience with both .NET and Python development  
  • Experience building AI-enabled or agentic applications  
  • Experience with Azure AI Services, OpenAI, LangChain, or similar platforms  
  • Experience designing and developing secure REST APIs and enterprise integrations  
  • Strong understanding of SQL, relational databases, and data-intensive applications  
  • Experience with Git-based development practices, automated testing, and CI/CD pipelines  
  • Experience using GitHub Copilot or similar AI-assisted development tools  
  • Understanding of Generative AI, Large Language Models (LLMs), and AI-enabled application patterns  
  • Experience contributing to technical design, architecture discussions, and production support  
  • Strong communication, problem-solving, and stakeholder engagement skills 

Desired Skills and Experience: 

  • Experience with Retrieval-Augmented Generation (RAG), vector search, and AI observability  
  • Experience with microservices, event-driven architectures, or serverless technologies  
  • Experience with Docker and Kubernetes  
  • Experience with infrastructure-as-code and cloud automation practices  
  • Experience within commodities trading, analytics, data, or complex enterprise environments  
  • Experience mentoring engineers and supporting technical leadership activities  
  • Experience with GraphQL and modern API design approaches 

Roles and Responsibilities: 

  • Design, develop, test, and support modern full-stack applications using ReactTypeScript.NET, and/or Python  
  • Build and maintain secure APIs, integrations, and data-driven services leveraging Azure and Databricks  
  • Develop AI-enabled application capabilities using LLMsGenerative AI, and agentic application patterns where appropriate  
  • Collaborate with Product Owners, business stakeholders, architects, data engineers, and developers to deliver business-focused solutions  
  • Translate business requirements into scalable, maintainable, and secure technical designs  
  • Contribute to application architecture, technical decision-making, and engineering best practices  
  • Build and maintain CI/CD pipelines, automated testing, and cloud deployment solutions  
  • Monitor, troubleshoot, and optimise application performance, reliability, and operational supportability  
  • Promote high standards of code quality, security, documentation, and software engineering practices  
  • Mentor junior engineers through code reviews, technical guidance, and knowledge sharing  
  • Participate in Agile ceremonies including planning, refinement, estimation, reviews, and retrospectives  
  • Drive continuous improvement across application development, cloud engineering, and AI-enabled software delivery 

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